Content uploaded by Shahid N. Muhammad
Author content
All content in this area was uploaded by Shahid N. Muhammad on Apr 12, 2023
Content may be subject to copyright.
Advances in Experimental Medicine and Biology 1406
EimanAbdelMeguid
PritiL.Mishall
HaleyL.Nation
PaulM.ReaEditors
Biomedical
Visualisation
Volume 15 ‒ Visualisation in Teaching
ofBiomedical and Clinical Subjects: Anatomy,
Advanced Microscopy and Radiology
Advances in Experimental Medicine
and Biology
Volume 1406
Series Editors
Wim E. Crusio, Institut de Neurosciences Cognitives et Intégratives
d’Aquitaine, CNRS and University of Bordeaux, Pessac Cedex, France
Haidong Dong, Departments of Urology and Immunology, Mayo Clinic,
Rochester, MN, USA
Heinfried H. Radeke, Institute of Pharmacology and Toxicology, Clinic of the
Goethe University Frankfurt Main, Frankfurt am Main, Hessen, Germany
Nima Rezaei , Research Center for Immunodeficiencies, Children’s
Medical Center, Tehran University of Medical Sciences, Tehran, Iran
Ortrud Steinlein, Institute of Human Genetics, LMU University Hospital,
Munich, Germany
Junjie Xiao, Cardiac Regeneration and Ageing Lab, Institute of
Cardiovascular Sciences, School of Life Science, Shanghai University,
Shanghai, China
Advances in Experimental Medicine and Biology provides a platform for
scientific contributions in the main disciplines of the biomedicine and the
life sciences. This series publishes thematic volumes on contemporary
research in the areas of microbiology, immunology, neurosciences, biochem-
istry, biomedical engineering, genetics, physiology, and cancer research.
Covering emerging topics and techniques in basic and clinical science, it
brings together clinicians and researchers from various fields.
Advances in Experimental Medicine and Biology has been publishing
exceptional works in the field for over 40 years, and is indexed in SCOPUS,
Medline (PubMed), EMBASE, BIOSIS, Reaxys, EMBiology, the Chemical
Abstracts Service (CAS), and Pathway Studio.
2021 Impact Factor: 3.650 (no longer indexed in SCIE as of 2022)
Eiman Abdel Meguid •Priti L. Mishall
Haley L. Nation •Paul M. Rea
Editors
Biomedical Visualisation
Volume 15 –Visualisation in
Teaching of Biomedical and Clinical
Subjects: Anatomy, Advanced
Microscopy and Radiology
Editors
Eiman Abdel Meguid
Queen’s University Belfast
Belfast, UK
Priti L. Mishall
Departments of Pathology &
Ophthalmology and Visual Sciences,
Albert Einstein College of Medicine
Bronx, NY, USA
Haley L. Nation
Department of Cell Systems
and Anatomy
UT Health Science Center
at San Antonio
San Antonio, TX, USA
Paul M. Rea
Anatomy Facility, School of Medicine,
Dentistry and Nursing, College of
Medical, Veterinary and Life Sciences
University of Glasgow
Glasgow, UK
ISSN 0065-2598 ISSN 2214-8019 (electronic)
Advances in Experimental Medicine and Biology
ISBN 978-3-031-26461-0 ISBN 978-3-031-26462-7 (eBook)
https://doi.org/10.1007/978-3-031-26462-7
#The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature
Switzerland AG 2023
This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher,
whether the whole or part of the material is concerned, specifically the rights of translation,
reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any
other physical way, and transmission or information storage and retrieval, electronic adaptation,
computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this
publication does not imply, even in the absence of a specific statement, that such names are
exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors, and the editors are safe to assume that the advice and information in
this book are believed to be true and accurate at the date of publication. Neither the publisher nor
the authors or the editors give a warranty, expressed or implied, with respect to the material
contained herein or for any errors or omissions that may have been made. The publisher remains
neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This Springer imprint is published by the registered company Springer Nature Switzerland AG
The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
This book, the 15
th
volume of the Biomedical Visualization series, focuses on
scientific visualization. It encapsulates the integration of science and imaging.
This volume spans from the microarchitecture of specific proteins to recent
advancements in anatomy education, to the clinical application of new
technologies and the improvement of patient care. It is the intersection
between technology, science, history, creativity, and engineering. This book
demonstrates how we can teach and learn in a much more accessible, innova-
tive, and engaging way using technology.
This volume is particularly focused on three main themes: advanced
microscopy, anatomy education, and radiology visualization related to patient
care. The chapters pertaining to advanced microscopy convey complex bio-
medical information by visual means. These chapters provide an overview of
the principles of microscopy and the unique characteristics of different
microscopes; it also provides examples of applications of microscopy that
have led to groundbreaking novel discoveries. This volume also delves into
the concepts of education. These chapters summarize the recent trends in
anatomy education and emphasize the creation and use of existing online tools
to support student learning to understand complex data and abstract ideas.
Lastly, the radiological visualization segment dives into the history of radio-
graphic imaging, surgical visual instruments, and therapies in medicine and
dentistry. This volume highlights the profound effect technology has had on
improving patient outcomes and also foreshadows where future advancements
might take us.
This volume will be of particular interest to many; the scope of this
textbook encompasses medicine, dentistry, allied health professions, biomed-
ical sciences, anatomy education, radiology, and microscopy. Students and
researchers who have interests in microscopy and host–pathogen communi-
cation will find these chapters useful in expanding their knowledge and
understanding microscopies application. Gross anatomy and histology
instructors will clearly enjoy the advancements in education explored in
these chapters. However, the educational topics discussed are applicable to
all higher education staff and across all basic science disciplines such as health
care practitioners, ranging from dentists to orthopedists. This volume
highlights the clinical importance of advancements in visualization pertaining
to patient care. It is our hope that students, educators, researchers, and
clinicians reading this book will learn something new, are stimulated to ask
v
innovative questions, and are inspired to continue the technological
advancements pushing science forward.
vi Preface
Belfast, UK Eiman Abdel Meguid
Bronx, NY Priti L. Mishall
San Antonio, TX Haley L. Nation
Glasgow, UK Paul M. Rea
Contents
Part I Microscopy
1 Advances in Microscopy and Its Applications with Special
Reference to Fluorescence Microscope: An Overview ....... 3
N. B. Pushpa, Apurba Patra, and Kumar Satish Ravi
2 Visualisation of Host–Pathogen Communication .......... 19
Amy Dumigan, Ricardo Calderon Gonzalez, Brenda Morris,
and Joana Sá-Pessoa
3 A Review of Pathology and Analysis of Approaches to Easing
Kidney Disease Impact: Host–Pathogen Communication
and Biomedical Visualization Perspective ................ 41
Kacper Pizon, Savita Hampal, Kamila Orzechowska,
and Shahid Nazir Muhammad
Part II Radiology and Patient Care
4 The Evolution of Equipment and Technology for
Visualising the Larynx and Airway .................... 61
Duncan King and Alison Blair
5 The Impact of Technological Innovation on Dentistry ...... 79
Richard Zimmermann and Stefanie Seitz
6 Advanced 3D Visualization and 3D Printing in Radiology . . . 103
Shabnam Fidvi, Justin Holder, Hong Li, Gregory J. Parnes,
Stephanie B. Shamir, and Nicole Wake
7 3D Visualisation of the Spine ......................... 139
Scarlett O’Brien and Nagy Darwish
Part III Anatomy Education
8 Visualization in Anatomy Education ................... 171
Apurba Patra, Nagavalli Basavanna Pushpa,
and Kumar Satish Ravi
vii
viii Contents
9 Visualizing Anatomy in Dental Morphology Education ..... 187
Tamara Vagg, Andre Toulouse, Conor O’Mahony,
and Mutahira Lone
10 Flashcards: The Preferred Online Game-Based Study
Tool Self-Selected by Students to Review Medical
Histology Image Content ............................ 209
Priti L. Mishall, William Burton, and Michael Risley
About the Editors
Eiman Abdel Meguid PhD, MBBS, SFHE, is Fellow of the Anatomical
Society. She is a medical graduate and Senior Lecturer of Anatomy at Queen’s
University Belfast (QUB), UK, with expertise in human anatomy, embryol-
ogy, and neuroanatomy. She is passionate about anatomical sciences educa-
tion and is keen to actively support the education of her students. Eiman’s
areas of professional interest include anatomical variation, multimodal teach-
ing strategies, implementing innovative technology, audience response sys-
tem in teaching, flipped classrooms, and blended learning. She has published
widely and presented at many international meetings that included invited
talks. She conducts review sessions for clinical trainee revisiting the cadaveric
anatomy labs whenever required. She is the Sole Academic Lead for Dental
Anatomy Course, Co-lead for Musculoskeletal Unit 2 for the MB BCh BAO,
and MSc in Clinical Anatomy Programme. She has multiple publications in
high impact journals and was an International Visiting Scholar/Guest Speaker
for Weill Cornell Medicine, NY. Dr. Abdel Meguid is the recipient of the
Senior Faculty Award for best presentation at the AACA conference, 2022.
She has previously acted as a member of the Career Development Committee
of the American Association of Clinical Anatomy (AACA), and currently, she
is a member of the Educational Affairs Committee of AACA. She is a
reviewer for the Clinical Anatomy, BMC Medical Education, and the
Anatomical Sciences Education Journals. Through her membership of the
Risk Management Group Committee at the Royal College of Surgeons and
previous role at the Research Ethics Committee at QUB, she gained lot of
experience in reviewing and generating policies for educational and research-
related activities. She is involved in peer mentoring as she is passionate about
Staff Professional Career Development. Having spent many years teaching as
a clinical anatomist, she is well placed to assist in producing resources that
would assist the development of student education. The extensive experience
she has gained, her international networking, and her interest in tailoring
teaching and research have equipped her with the necessary skills.
Priti L. Mishall MD, MBBS, PGCertME, is Associate Professor in the
Departments of Pathology & Ophthalmology and Visual Sciences. She is a
medical educator with expertise in human anatomy, embryology, histology,
and neuroanatomy. She teaches anatomy to learners in Undergraduate
ix
Medical Education (UME) and Graduate Medical Education (GME). For the
UME, she Co-Directs the Anatomy course for the first-year MD program and
also Directs the Anatomy course for the MSTP program. She is the Director of
the Anatomical Donation Program and is a course faculty member for the
second-year Nervous System and Human Behavior course. She is a small
group facilitator for the Problem-Based Learning sessions in Pre-clerkship
and Transition to Clerkship. Dr. Mishall mentors medical students interested
in pursuing projects on creating and evaluating anatomy education learning
resources. In the area of GME, she conducts workshops for residents and
fellows revisiting cadaver anatomy labs. Her clinical collaborators include
Departments of Ophthalmology and Visual Sciences and Rheumatology. She
is passionate about participating in faculty development initiatives and is a
course faculty at Harvard Macy Institutes’course “Transforming your teach-
ing for the Virtual Environment.”She is an active member of the American
Association of Clinical Anatomists (AACA) and International Association of
Medical Science Educators (IAMSE). She served as the chair of the Education
Affairs Committee of AACA and is the member of AACA’s Career Develop-
ment Committee. At Einstein, she implemented various e-learning instruc-
tional methods including flipped classrooms, blended and online learning to
promote learner interactivity and engagement with the content. Additionally
she has expertise in designing and implementing prosection-based anatomy
course for preclerkship curriculas. She is a recipient of two teaching awards at
Einstein: the Samuel M. Rosen Award for Outstanding Teaching
(Pre-Clerkship) and the Harry Eagle Award for Outstanding Teaching
(Pre-Clerkship) in recognition for excellence in teaching by students and by
peers, respectively.
x About the Editors
Haley L. Nation PhD, is Associate Professor in the Department of Cell
Systems and Anatomy at UT Health San Antonio. She is a classically trained
anatomist who teaches various basic science disciplines to future health care
professionals, including gross anatomy, histology, neuroanatomy, and embry-
ology. Dr. Nation teaches medical, dental, physical therapy, physician assis-
tant, occupational therapy, and master’s of anatomy students. She is
committed to providing a high quality of education to her students as well
as various residents and practicing dentists seeking continuing education. She
is invested in the success of the programs she teaches in and the wider
academic missions as a whole; she serves on admissions, curriculum, and
strategic planning committees and partakes in leadership programs. To help
serve the greater anatomical community, she is involved in professional
associations and serves on the American Association of Clinical Anatomists
(AACA) Educational Affairs Committee (EAC) and Committee on Diversity,
Equity, and Inclusion (CDEI). In addition to her educational and service
commitments, she also has a particular interest in mentoring graduate students
in research projects involving anatomical variations and the creation of new
educational tools. Throughout her career she has been devoted to her students,
institution, and anatomical community.
About the Editors xi
Paul M. Rea Paul is Professor of Digital and Anatomical Education at the
University of Glasgow. He is Director of Innovation, Engagement and Enter-
prise within the School of Medicine, Dentistry and Nursing. He is also a
Senate Assessor for Student Conduct and Council Member on Senate and
coordinates the day-to-day running of the Body Donor Program and is a
Licensed Teacher of Anatomy, licensed by the Scottish Parliament. He is
qualified with a medical degree (MBChB), an MSc (by research) in craniofa-
cial anatomy/surgery, a PhD in neuroscience, the Diploma in Forensic Medi-
cal Science (DipFMS), and an MEd with Merit (Learning and Teaching in
Higher Education). He is Senior Fellow of the Higher Education Academy and
a Fellow of the Institute of Medical Illustrators (FIMI). Paul has published
widely and presented at many national and international meetings, including
invited talks. He has been the lead editor for Biomedical Visualisation over
13 published volumes and is the founding editor for this book series. This has
resulted in almost 90,000 downloads across these volumes, with approxi-
mately 400 different authors, across approximately 100 institutions from
19 countries across the globe. He is Associate Editor for the European Journal
of Anatomy and has reviewed for 25 different journals/publishers. He is the
Public Engagement and Outreach lead for anatomy coordinating collaborative
projects with the Glasgow Science Centre, NHS, and Royal College of
Physicians and Surgeons of Glasgow. Paul is also a STEM ambassador and
has visited numerous schools to undertake outreach work.
His research involves a long-standing strategic partnership with the School of
Simulation and Visualisation, The Glasgow School of Art. This has led to
multi-million-pound investment in creating world-leading 3D digital datasets
to be used in undergraduate and postgraduate teaching to enhance learning
and assessment. This successful collaboration resulted in the creation of the
world’sfirst taught MSc Medical Visualisation and Human Anatomy combin-
ing anatomy and digital technologies. The Institute of Medical Illustrators also
accredits it. It has created college-wide, industry, multi-institutional, and NHS
research linked projects for students.
Part I
Microscopy
Advances in Microscopy and Its
Applications with Special Reference
to Fluorescence Microscope:
An Overview
1
N. B. Pushpa, Apurba Patra, and Kumar Satish Ravi
Abstract
The microscope has revolutionized the under-
standing of an organism’s structural details
and cellular functions. With the invention of
highly evolved microscopes, the diagnosis and
treatment of diseases has gained momentum.
Technology has immensely helped demon-
strate cellular events like phagocytosis, cell
movement, cell division, etc. with enhanced
temporal and spatial resolution. One of these
advanced inventions is the fluorescent micro-
scope which has enabled scanning through
various physiological activities of the cell. A
fluorescence microscope uses the property of
fluorescence to create an image. In addition to
visualizing the structural details of the cells, a
fluorescence microscope also aids in
witnessing cellular activities. With an immu-
nofluorescence microscope, cellular antigens
can be localized. This chapter highlights the
basics of microscopy, types of microscopes,
principles, and types of fluorescence
microscopes, and recent advances in micros-
copy and its application.
N. B. Pushpa
Department of Anatomy, JSS Medical College,
JSSAHER, Mysore, Karnataka, India
A. Patra
Department of Anatomy, All India Institute of Medical
Sciences, Bathinda, Punjab, India
K. S. Ravi (✉)
Department of Anatomy, All India Institute of Medical
Sciences, Rishikesh, Uttarakhand, India
#The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
E. Abdel Meguid et al. (eds.), Biomedical Visualisation, Advances in Experimental Medicine and
Biology 1406, https://doi.org/10.1007/978-3-031-26462-7_1
3
Keywords
Microscopy · Fluorescence · Inventions ·
Fluorescent antibody technique · Cell
division · Cell movement · Phagocytosis
1.1 Introduction
With the recent advances in science, an excellent
thirst for looking into the ultrastructure of
particles and organisms has emerged. This
paved the way for the evolution of a branch of
science—“Microscopy,”which refers to the
observation of minute details of the structure
that the naked eye cannot see. Recent
microscopes have assured the visualization of
particles from nanometers to millimeters in size.
The most common type of microscope univer-
sally used is the optical microscope. This micro-
scope produces an enlarged image of the sample
placed in the focal plane of the lens. The objective
piece has a real, magnified picture of the sample
set at a defined distance from its front lens. In
contrast, the objective of infinite tube-length
microscopes is to produce a virtual image of the
sample at infinity. Microscopy techniques have
revolutionized the field of medicine by giving rise
to sub-sepcialties like histology and pathology.
Advanced research has been empowering
super-resolution techniques by enhancing magni-
fication, imaging mode, numerical aperture, spa-
tial resolution, and light wavelength (Abramowitz
and Davidson 2007). The older microscopes had
limitations in terms of resolution. Depending on
the need to visualize different structures and
organisms, different types of microscopes have
been invented. The invention of sophisticated
microscopes has resulted in a better understand-
ing of not only the structural details of the cell but
also the physiological activities (The University
of Edinburgh 2018).
4 N. B. Pushpa et al.
1.1.1 Magnification
In optics, magnification (×) refers to the size of an
image produced relative to the object’s size.
Linear magnification refers to the ratio
between the image length and the object length
measured at the right angle to the optical axis.
The term longitudinal magnification is used when
the image is enlarged along the optical axis. The
image is called inverted when the values of linear
magnification are negative. However, angular
magnification refers to the ratio of the tangents
of the angles formed by an object and its image
when measured from a given point in the micro-
scope, i.e., lens or magnifiers. Theoretically, mag-
nification can be infinite, but practically,
magnification caused by any optical instrument
is limited by its resolving power (Ray 2002;
Wayne 2021).
1.1.2 Resolving Power
Resolving power refers to the ability of a micro-
scope to produce precise, distinct images of very
closely placed objects. The objective lens’s
numerical aperture depicts the microscope’s abil-
ity to delineate the specimen at a fixed distance.
The greater the distance between the two points,
the greater the resolution will be. The resolution
also depends on the property of the light used in
the microscope. Hence, if the light of a shorter
wavelength is used, then the resolution caused
will be more compared to the light of a greater
wavelength (Jonkman et al. 2003).
1.1.3 Parts of Light Microscope
(Fig. 1.1)
The essential parts of an optical microscope
include stage, slide holder, eyepiece, objective,
nosepiece, base, condenser, diaphragm, light
source, coarse and fine adjustment, and carrying
handle. Objectives and condenser need a special
mention also. The objective piece of a microscope
can have a single or combination of lenses that
face the object and collects light from it. The
principal property of objective lenses is magnifi-
cation. The overall magnification provided will be
combined magnification with the eyepiece. For
example, an objective with 4×will provide
40 times magnification with a 10×eyepiece.
Three or four objectives of different
magnifications are fitted into one nosepiece,
which can rotate based on the required lens.
These objective lenses are color coded for easy
selection. Different magnifications available are
4×,10×,40×, and 100×. The lowest magnifica-
tion is 4×, called an objective scanning lens,
Fig. 1.1 Schematic diagram of Compound microscope
showing its parts
while the highest is 100×, called the large objec-
tive lens.
1 Advances in Microscopy and Its Applications with Special Reference to... 5
The sample is illuminated by gathering light
from the source through condenser lenses that are
placed over the light source; resulting in a clear,
sharp image with optimal magnification. The
amount of light entering the condenser can be
controlled by the diaphragm. It is suggested to
use a condenser for higher magnification rather
than for low magnification. Condensers are
mainly of three types- chromatic (Abbe), apla-
natic, and compound achromatic condensers.
The aplanatic condensers are used to correct
spherical aberration, while compound achromatic
condensers are preferred to rectify both chromatic
and spherical aberrations. Although Abbe
condensers can be used for magnification of less
than 400×only, it is still the most widely used
microscope condenser. There are specialized
condensers for Phase contrast, dark field, and
epifluorescence microscopes. In epifluorescence
microscopy, the objective lens functions as both a
magnifier and a condenser (Abbe 1874).
1.2 Evolution of Microscope
The idea of constructing a microscope dates back
to the thirteenth century and originated with a
hand-held lens to magnify objects (Atti 1975).
Hence, a simple lens with required magnification,
object stand, and adjustment apparatus
constituted a light microscope. This was followed
by the invention of the primitive form of the
compound microscope with two lenses by Dutch
eyeglass maker Zacharias Jansen in 1595, which
could magnify the specimen by nine times (Van
Helden et al. 2010; William 1996). Anton van
Leeuwenhoek invented a high magnification
microscope, later termed the simple microscope,
hence he is referred to as the “Father of Micros-
copy.”The construction of the compound micro-
scope followed this invention. Robert Hooke
further embellished the instrument with a stage,
light source, and controls for coarse and fine
adjustment (Lane 2015). Robert Hooke was the
first to use the term “cell”based on their appear-
ance under the microscope. Until the eighteenth
century, microscopes could only magnify up to
50×. Then Carl Zeiss and Ernst Abbe added a
substage condenser and improved the lenses,
which could provide better magnification and
resolution (Abbe 1874).
1.3 Principle of Microscopy
The objective piece of the microscope carries an
objective lens that focuses on the object and
forms an enlarged image of the object, referred
to as a primary image (I1). The resulting magnifi-
cation is known as primary magnification. This
primary image is a magnified, inverted real
image, which acts as an object for the eyepiece
and is projected up into the focal plane of the
eyepiece (Inoué 2006). The eyepiece magnifies
the primary image and secondary image (I2) is
formed at about 10 inches from it (Fig. 1.2).
1.4 Types
Microscopes are categorized chiefly based on
how they interact with the specimen/sample to
produce the image. Depending upon the kind of
light source used, we have different types of
microscopes.
1.4.1 Optical Microscopy
1.4.1.1 Bright Field Microscopy
The basic form of a light microscope. The speci-
men under observation is illuminated by the light
source below and observed from above by the
eyepiece. The most significant advantage is its
simple technology and easy preparation of the
slide used for the study. However, the major
drawback is its poor contrast of the specimen
and low apparent resolution (Chandler and
Roberson 2009).
1.4.1.2 Dark-Field Microscopy
This technique is preferred for ameliorating the
contrast of transparent specimens, which are
unstained (Abramowitz and Davidson 2007).
Darkfield illumination utilizes an aligned light
source to limit the amount of transmitted light
passing through the image plane. This technique
functions by illuminating the structures under
observation with intense oblique peripheral
light. The central light beam is excluded from
approaching the objective lens by the central
stopper patch attached to the condenser. Its appli-
cation is appreciated in the study of extremely
tiny and transparent particles. Dark fields can
exponentially upgrade the image contrast—par-
ticularly of transparent objects. Although this
technique requires minimum setup or sample
preparation, the limitations of this technique are
low apparent resolution and diminished intensity
of the final image (Mualla et al. 2018).
6 N. B. Pushpa et al.
Fig. 1.2 Principle of microscopy showing primary image and secondary image
1.4.1.3 Oblique Illumination
Microscope
This microscope gives a 3D appearance with the
use of oblique illumination and also highlights
invisible features. The main limitation is the low
contrast of various biological samples; the out-of-
focus object may result in low apparent resolu-
tion. Hoffmann’s modulation contrast is a recent
advancement in this technique and is used in
inverted microscopes for usage in cell culture.
The prime limitation in the oblique illumination
microscope is identical to those found in bright
field microscopy (Chandler and Roberson 2009).
1.4.1.4 Phase Contrast Microscope
This works on the principle that the difference in
refractive indices of the media and the object
results in phase difference. Hence, an image will
be formed because of interference between direct
and diffracted light from the object. The greater
the phase difference the greater will be the differ-
ence in amplitude, and the brighter will be the
resulting image. Because of this principle, living
cells can be directly observed, hence can visualize
the cellular activities under a phase contrast
microscope without sacrificing/staining proce-
dure. This enables us to understand ongoing
dynamic cellular events in their natural state
(Mualla et al. 2018).
1.4.1.5 Interference Microscope
This works on the principle of interference, where
a beam of light from the source is split (Mualla
et al. 2018).
1.4.1.6 Dispersion Staining Microscopy
It is a set of staining techniques utilized in
establishing the identity of an unknown minute
particle with the aid of standard particles of
known properties. The property utilized here is
the “dispersion curve”based on the refractive
index of the two particles. The difference in the
dispersion curve becomes apparent when they
intersect. This technique is mainly employed in
detecting asbestos in construction materials. The
novelty of this technique is that it is free from
dyes/coloring substances (Bruni et al. 1998).
1 Advances in Microscopy and Its Applications with Special Reference to... 7
1.4.1.7 Polarization Microscope
A conventional microscope with a rotating stage
has two polarizing elements and balsam. The
polarizer is fitted below the condenser, and the
analyzer is attached above the objective lens. This
microscope is mainly utilized to differentiate
between amorphous and crystalline biological
specimens (Oldenbourg 2013).
1.4.1.8 Atomic Force Microscope
Offers very high resolution in terms of nanometer
fractions, a thousand times more than the regular
optical microscope. Here information is obtained
by touching/feeling the structure’s surface with a
mechanical probe (cantilever tip). Currently, this
is the only microscope that can provide structural,
functional, and mechanical information about the
cell at high resolution (Trache and Meininger
2008).
1.4.1.9 Fluorescence Microscope
Tissues are subjected to a fluorescent dye, and
ultraviolet light falls on the object. The tissue
emits more long-wavelength light and becomes
visible against the dark background. Compared to
a traditional fluorescence microscope, photon
microscopy provides fine resolution of particles/
tissue less than 1 mm (Hama et al. 2011).
1.4.1.10 Confocal Microscopy
It uses a focused laser beam that is scanned across
the sample to excite fluorescence point by point.
To prevent unfocused light from reaching the
detector, the emitted light is guided through a
pinhole, usually a photomultiplier tube. The
image is then compiled in a computer based on
the measured fluorescence intensities and the
position of the excitation laser. Confocal micros-
copy provides slightly higher lateral resolution
and greatly improves axial resolution/optical
sections. Therefore, such microscopy is widely
used where the 3D structure of the sample is
essential (Pawley 2006).
1.4.2 Electron Microscopy
Here, electrons are used instead of light, and the
image is focused on the fluorescent screen by
magnetic coils. The resolution provided by the
electron microscope is 3–5 angstroms; even the
ultrastructure of the cell/object can be visualized.
Since it offers a higher resolution, more subtle
details of the structure can be studied. In a trans-
mission electron microscope, the images are
formed due to the passage of electrons into the
object. In a scanning electron microscope, images
are formed based on the ability of the object to
emit secondary electrons from its surface. The
compound microscope had the limitation of
lower resolution due to the limited wavelength
of light used. This limitation is overcome by
electron microscopes, where an electron beam
with a much smaller wavelength is used to obtain
a higher resolution. A magnetic field is used to
obtain electron-optical systems that function
much like the glass lenses of a compound micro-
scope. Electron microscopes are basically used to
observe and examine ultrastructure. They use
specialized digital cameras to create electron
micrographs to capture the image (Mualla et al.
2018).
Transmission electron microscopy (TEM) is a
traditional form of an electron microscope. In
this, a high-voltage electron beam is used to illu-
minate a very thin slice of the sample/specimen to
form an image. The source of the electron beam is
usually an electron nozzle with a tungsten fila-
ment. The emerging electron beam through the
specimen acquires information about the
observed specimen and is further magnified by
the objective lens. A serial section electron micro-
scope is used to obtain consecutive serial sections
of a particular structure. These sections of the 3D
volume are exposed to the electron beam, and a
complete image of the structure is then obtained
(Chandler and Roberson 2009).
Scanning Transmission Electron Microscopy
(STEM)—This transmission electron microscope
is equipped with a scanning capability. STEM
visualizes the details of a structure by detecting
electrons scattered through the structure. So, it
can provide a very clear 3D view with high
resolution.
8 N. B. Pushpa et al.
Scanning Electron Microscope (SEM)—It
uses a scanning probe and a focused electron
beam. SEM creates images reflecting their com-
position and topography. Because a certain
amount of energy is lost when the electrons inter-
act with the sample, the image produced in this
microscope has a slightly lower resolution com-
pared to TEM. In a reflection electron micro-
scope, the reflected electron beam is detected
instead of the secondary/transmitted electrons.
This principle is often combined with reflection
high energy diffraction (RHEED)/reflection high
energy loss spectroscopy (RHELS). Electron
microscopes are designed for X-ray spectroscopy
and can provide quantitative and qualitative ele-
mental analysis, also called analytical electron
microscopes, and are an effective tool for
analyzing nanomaterials (Kosasih and Ducati
2018).
1.4.3 Scanning Probe Microscopy
Afixed probe is available in the microscope, the
tip of which makes physical contact with the
surface of the object. The atomic force micro-
scope (AFM), photonic force microscope, scan-
ning tunneling microscope, and repetition
monitoring microscope are various examples of
scanning probe microscopes (Mualla et al. 2018).
1.4.4 Ultrasonic Force Microscopy
(UFM)
This microscopic method was introduced to
improve the image contrast and detail on “flat”
regions under study, where AFM images have
contrast limitations. AFM-UFM fusion enables
near-field acoustic microscopic image generation.
The AFM tip enables the detection of ultrasonic
waves and overcomes the wavelength limitation
encountered in acoustic microscopy. The elastic
changes that occur under the AFM tip help create
an image with more detail than that produced by
AFM. In UFM, local elasticity mapping is
enabled in AFM by applying ultrasonic vibrations
to a cantilever or sample. In order to quantita-
tively analyze the UFM results, a force-distance
curve measurement is performed with ultrasonic
vibration applied to the cantilever base. Then the
results are compared with a dynamic model of the
cantilever and the tip-sample interaction
depending on the finite difference technique
(Dinelli et al. 2011).
1.4.5 Ultraviolet Microscopy
In this type, ultraviolet light is used as a source of
light. The amount of light absorbed by the object
is recorded photographically, and the molecules
in the object, like purine, pyrimidine, DNA, etc.,
are identified. This technique serves two main
purposes. The first is the use of shorter wave-
length ultraviolet electromagnetic energy to
improve image resolution beyond standard opti-
cal microscopes. The second application is the
increase of contrast when the response of individ-
ual samples relative to their surroundings is
increased due to the interaction of light with the
molecules in the examined sample. One such
example is the contrast enhancement of protein
crystals that form in salt solutions (Heimann and
Urstadt 1990).
1.4.6 Infrared Microscopy
This type of microscopy refers to using infrared
waves in the microscope. In a typical microscope
configuration, a Fourier transforms
infrared (FTIR) spectrometer is combined with
an infrared detector and an optical microscope.
The infrared detector can be a linear array/2D
focal plane array/single point detector. FTIR
enables chemical analysis using infrared spectros-
copy, then the microscope and point/matrix detec-
tor further allow this chemical analysis to be
spatially resolved, i.e., performed in different
areas of the sample. The technique itself is also
called infrared microspectroscopy. An alternative
arrangement known as laser direct infrared imag-
ing involves a combination of a tuneable infrared
light source, and a single-point detector mounted
on a flying objective. This technique is often used
for infrared chemical imaging, where image con-
trast is due to the response of individual sample
regions to specific user-selected IR wavelengths,
specific IR absorption bands, and associated
molecular resonances. A prime limitation of con-
ventional infrared microspectroscopy is that spa-
tial resolution is limited by diffraction (Pollock
and Kazarian 2014).
1 Advances in Microscopy and Its Applications with Special Reference to... 9
1.4.7 Photoacoustic Microscopy
This microscopic technique relies on
the photoacoustic effect (Bell 1880), which is
the generation of ultra-level sound caused by the
absorption of light. A focused intensity
modulated laser beam is raster scanned across
the sample. The generated (ultra) sound is
detected using an ultrasonic transducer. Piezo-
electric ultrasonic transducers are commonly
used in photoacoustic microscopy to analyze the
structure (Yao and Wang 2013).
1.4.8 Digital Holographic Microscopy
In DHM, interfering wavefronts arising from a
coherent or monochromatic light source are
recorded on the sensor. The image created in
this way from the recorded hologram is digitally
reconstructed by a computer. In addition to the
normal image in the bright field, an image with a
phase shift is also created. This technique can
control both transmission mode and reflection.
In transmission mode, the phase-shift image
enables a label-free quantitative measurement of
the optical thickness of the sample. While in
reflection mode, the phase shift image provides
a relative distance measurement and thus
represents a topographical map of the reflecting
surface. Phase shift images of biological cells are
very similar to stained cells and have been suc-
cessfully analyzed by high content analysis soft-
ware. A unique feature of DHM is its ability to
adjust focus even after the final image is recorded,
as all focus planes are recorded simultaneously by
the hologram. This feature makes it easier to
capture moving objects. Another attractive fea-
ture is the DHM’s ability to use low-cost optics
with software-based optical aberration correction
(Rappaz et al. 2014).
1.4.9 Digital (Virtual Microscopy)
Digital pathology is made possible partly with
virtual microscopy, in which the glass slides are
converted into digital slides that can be viewed
and analyzed. This technique is a visual informa-
tion environment that enables a computer-aided
mechanism to manage information generated
from a digital slide (Mualla et al. 2018).
1.4.10 Laser Microscopy
In laser microscopy, the laser beam is utilized as
an illumination source (Duarte 2016). For exam-
ple, laser microscopy focused on biological
applications uses ultrashort pulse lasers in a vari-
ety of techniques referred to as saturation micros-
copy, nonlinear microscopy, and two-photon
excitation microscopy (Thomas and Rudolph
2008).
High-intensity, short-pulse laboratory X-ray
lasers are under evaluation. If this technology is
successfully developed, it will be possible to
obtain enlarged 3D images of basic biological
structures in vivo at a particular time. The resolu-
tion is limited primarily by the hydrodynamic
expansion that occurs when the required number
of photons is registered (Solem 1983). Thus, even
if a specimen is destroyed by exposure, its con-
figuration may be captured before it explodes
(Solem 1982).
1.5 Fluorescence Microscopy
1.5.1 Principle and Mechanism
Afluorescence microscope uses the property of
fluorescence with other properties like reflection,
scattering, and absorption to produce the image.
Fluorescence is the emission of light by a sub-
stance that has absorbed light or electromagnetic
radiation (Gill 2010). The objects become visible
when absorbed radiation is ultraviolet (UV) rays
of the electromagnetic spectrum, and the struc-
ture/specimen under study emits visible light; this
provides the structure with distinct color to be
observed in the presence of UV light. Spectral
emission filters are used to separate the
illuminating light from emitted fluorescence.
The fluorescent structure stops glowing when
the radiation source is stopped (Fig. 1.3).
10 N. B. Pushpa et al.
Fluorescence occurs when a particle/atom
relaxes from a high to a lower energy state by
emitting a photon without altering the electron
spin. There is a loss of some energy in this pro-
cess resulting in photons with less power
(Helmchen and Denk 2005). Higher energy rays
have a short wavelength, and those with low
energy have a long wavelength; as a rule, the
emitted rays will have a longer wavelength called
Stokes shift. It is also possible for a source to
absorb energy at a time and emit a single photon
with less energy. This energy difference will
assign a different color to the particle than in
reality. Hence red light can be utilized to produce
green light. This is better achieved with photons
having high spatial and temporal density. That is
why red light is more preferred as an excitation
source over blue light since red light has more
penetration to the tissue because of its less
scattered nature. Also, the disadvantage of cell
damage with high-energy light can be overcome
with red light as an excitation source
(Zinselmeyer et al. 2009). Image brightness in a
fluorescence microscope is directly proportional
to the number of photons gathered by the detector
during the specific dwell time. Other super-
resolution techniques like stimulated emission
depletion can overcome the default diffraction
limit and produce an image of significant
magnification.
In the two-photon fluorescence technique, two
photons are simultaneously excited, unlike in the
regular fluorescence microscope. Here the
wavelength of the utilized light is more than that
of emitted light, in contrast to the single photon
technique. Often the excitation light is
near-infrared rays which can minimize the scat-
tering within the tissue. As two photons are
absorbed with each excitation, this technique
offers excellent resolution. Hence this is preferred
over confocal microscopy with added advantages
of decreased photobleaching, deep tissue penetra-
tion, clear background, and efficient light detec-
tion (Denk et al. 1990).
1.5.2 Epifluorescence Microscopy
Most fluorescence microscopes, particularly
those used in the life sciences, have an
epifluorescence design, as shown in Fig. 1.3.
Light of the excitation-specific wavelength
illuminates the sample through an objective lens.
The fluorescence emitted by the specimen follows
and is focused on the detector, which will need an
objective with a higher numerical aperture for
greater resolution. Since most of the excitation
light passes through the spsecimen, only the
reflected excitation light, together with the dis-
charge light, reaches the objective, thus providing
a high signal-to-noise ratio. The dichroic beam
splitter acts as a wavelength-specificfilter,
allowing only fluorescent light into the eyepiece
or detector, but reflecting back any remaining
excitation light toward the source (Sanderson
et al. 2014).
1.5.2.1 Light Sources for Fluorescence
Fluorescence microscopy needs intense near
monochromatic illumination, which some
extended light sources, such as halogen lamps,
cannot provide (Huang 2010). Four types of light
sources are commonly used, including xenon arc
lamps or mercury discharge lamps with a laser,
excitation filter, supercontinuum sources, and
high-power LEDs. Among them, lasers are the
most widely used for more complex fluorescence
microscopy techniques, such as total internal
reflection fluorescence microscopy and confocal
microscopy. In contrast, xenon lamps, mercury
lamps, and dichroic excitation filter LEDs are
ideally used for wide-angle epifluorescence
microscopes. By placing two microlens arrays in
the illumination path of a wide-field
epifluorescence microscope (Coumans et al.
2012), highly uniform illumination can be
achieved.
1 Advances in Microscopy and Its Applications with Special Reference to... 11
Fig. 1.3 Diagrams showing the basic principle of fluorescence. (a) Showing excitation of the photon by light energy, (b)
Photon in the excited state, (c) Photon returning to ground state
1.5.2.2 Sample Preparation
in Fluorescence Microscopy
The first and foremost criterion for a sample to be
suitable for fluorescence microscopy is that it
must be fluorescent. There are various methods
for creating a fluorescent sample; the main
techniques are labeling with fluorescent dyes or,
in the case of biological samples, fluorescent pro-
tein expression. Alternatively, intrinsic fluores-
cence or autofluorescence of the sample may
also be used. In the life sciences, a fluorescence
microscopy is a powerful tool that enables sensi-
tive and specific staining of a sample to detect the
distribution of proteins or other molecules of
interest. Thus, a variety of techniques are avail-
able for fluorescent staining of biological samples
of interest (Sanderson et al. 2014).
1.5.3 Fluorophores
Fluorophores/fluorochromes are fluorescent
chemicals that can re-emit the light on excitation.
They are used as a dye to stain structures, probes,
or substrates for specific enzymes. They cova-
lently attach to the macromolecule under obser-
vation, thus allowing them to be visible under a
fluorescent microscope or spectroscope. Fluores-
cein is the most widely used fluorophore derived
from fluorescein isothiocyanate (FITC). Ideal
fluorophores should be more photostable, less
pH-sensitive, and brighter, and such qualities are
seen in newer-generation fluorophores
(Gustafsson et al. 2008). Since fluorophores
absorb and emit light, the wavelength of the
absorbed light, the efficiency of energy transmis-
sion, and the time taken for transmission depend
on the nature of the fluorophore and its interaction
with the environment. Fluorophores are broadly
classified into four groups based on their molecu-
lar structure and synthetic methods. They are
small organic compounds, proteins and peptides,
synthetic oligomers and polymers, and multi-
component systems (Tsien and Waggoner 1995;
Lakowicz2006).
12 N. B. Pushpa et al.
1.5.4 Immunofluorescence
Immunofluorescence is a technique in micros-
copy widely used in microbiology. It uses
antibodies labeled with fluorescent dyes to illumi-
nate and study the structure under observation
(Lichtman and Conchello 2005). The antibodies
help locate the particular particle throughout the
sample or identify a specific cell. The region of
contact of the antibody on the antigen is called the
epitope. The antibodies are either covalently
bound to the fluorescent dye or by means of one
more antibody, referred to as primary antibody
and secondary antibody, respectively (Im et al.
2019). Subsequently, the first method is called
direct immunofluorescence, and the second is
called indirect immunofluorescence. Immunoflu-
orescence provides an essential advantage of
revealing molecules in their indigenous state,
decreasing potential distortion of protein struc-
ture, localization of the protein, and understand-
ing its function using fluorophore tagging
(Mutasim and Adams 2001).
Immunofluorescence is not devoid of
disadvantages, the major drawback being
photobleaching which results in the loss of activ-
ity of the fluorophore (Wäldchen et al. 2015).
This can be reduced by limiting the intensity
and period of light exposure and utilizing
fluorophores of ideal quality, which can resist
photobleaching. Other limitations include restric-
tion to a particular cell and lesser penetration of
fluorophore into the cells (Im et al. 2019).
1.5.5 Components of Fluorescence
Microscope
Afluorescence microscope essentially includes
the following components (Fig. 1.4)—
The light source—is usually a mercury vapor
lamp/Xenon arc lamp/tungsten halogen lamp.
Laser beams in laser scanning microscopes scan
the specimen and create an image. Recent light
source improvement uses bright, single-
wavelength light-emitting diodes (LEDs). Appre-
ciable advantages of LEDs are fast switching
without shutters, increased longevity, and tight
control of wavelength.
Excitation filter—it ensures the transmission
of only light of the required wavelength. Hence,
it allows the light reflected by the dichroic mirror
to illuminate the specimen. Excitation filter has
limited use when monochromatic or laser light is
for excitation purposes.
Dichroic beam splitter—since the excitation
source is brighter than the emitted light, it is
necessary to have filters that can block the bright
excitation light. This can be achieved by using
filters that separate excitation and cast light. By
this arrangement, the specimen’s excitation light
of a shorter wavelength is reflected, and light of a
longer wavelength is transmitted to the detector
by the dichroic mirror. Sometimes they can also
be used to send short-wavelength light and reflect
the light of longer wavelength (Sanderson et al.
2014).
Emission filter—when the light passes through
the filters, there is always a threat of decreasing
intensity. Also, the image brightness is deter-
mined by the light transmitted by the filters.
Hence it is always essential to have emission
filters that can only block spurious excitation
light, thus ensuring a bright image of the
specimen.
Filter cube—this is used to align the excitation
and emission filters in the light path. It directs
light from the excitation source to the specimen
and from the specimen to the detector. Hence, the
orientation of each element is essential within the
filter cube. It is about a one-inch-sized box
containing a set of excitation filters, a dichroic
filter at 45°, and an emission filter. The set of
filters included depends upon the fluorescent dye
used. A recent microscope consists of an
automated filter changer enabling rapid switching
in and switching out filters from the light path
(Murphy and Davidson 2012)(Fig. 1.4).
1 Advances in Microscopy and Its Applications with Special Reference to... 13
Fig. 1.4 Parts and function
of fluorescence microscope
1.6 Types of Fluorescence
Microscope
With its widespread application, the fluorescence
microscope has become an essential tool for cell
biologists. In this microscope, light from the
source illuminates the specimen to excite the
fluorophore attached. Different types of fluores-
cence have been listed based on the microscope’s
ability to cast a particular region or whole of the
specimen.
1.6.1 Wide-Field Fluorescence
Microscopy
Wide-field fluorescence microscopy is Wide-field
microscope is ideally suited for viewing 2D
images of the specimen. The most significant
advantage of wide-field microscopes is the ability
to capture and view an entire specimen at a
glance. Conversely, the image obtained in this
microscope is of less contrast and spatial orienta-
tion owing to diffraction-limited optics and pro-
jection of out-of-focus light on the camera’s
image plane (Pawley 2006). These limitations
can be overcome to a certain extent by the optimal
selection of a specimen that falls entirely under
the focus and with thin sections and by reducing
the numerical aperture of the objective to avoid
out-of-focus light. Other advantages of a vast
field microscope are cost-effectivity, simplicity,
reduced photobleaching/phototoxicity, and flexi-
bility (Sanderson et al. 2014).
1.6.2 Confocal Microscopy
Laser scanning microscopes enable thick
specimens and reduce out-of-focus light. In con-
trast to a wide field fluorescence microscope, the
light source is a laser- a bright point source. Other
differences are that point source illumination is
sequentially scanned, and the emitted light is
detected using a photomultiplier tube. Also, the
image is compiled pixel by pixel at each point.
The optimal magnification of the image depends
on the dwell time of the laser spot that remains
over the specimen’s particular site. The greater
the dwell time, the image is formed due to the
increased number of photons being captured.
However, dwell time can simultaneously boost
the chances of photobleaching. Reduction of
focus light is achieved in confocal microscopes
by using a pinhole aperture, as it can exclude light
that is out of focus. However, this is again at the
cost of the reduced intensity of the image
obtained, which is in turn due to reduced photons
captured at that particular dwell time. The other
major drawback of a confocal microscope is
reduced tissue penetration, which can be over-
come using pulsed, long-wavelength laser excita-
tion sources, and two-photon excitation modes.
Two-photon microscopes also concentrate on
photobleaching as there is limited use of
indicators to produce the image. Also, using
more extended wavelength lasers allows for
deeper penetration of tissues (Denk et al. 1994;
Hama et al. 2011).
14 N. B. Pushpa et al.
1.6.3 Total Internal Reflection
Fluorescence Microscopy
The limitations of confocal and two photo
microscopes are reduced axial resolution and
diffraction-limited approach. This resulted in the
invention of a total internal reflection fluores-
cence (TIRF) microscope (Axelrod 2001). The
use of total internal reflection to illuminate tissues
was first advocated by Axelrod (Ambrose 1956).
Here, a glass substrate is used to direct the emitted
light toward the aqueous specimen placed at a
shallow angle. This results in total internal reflec-
tion because of the difference in the refractive
index at the glass water interface. The penetration
depth depends on the wavelength of emitted light,
the difference in the refractive index, and the
angle of incident illumination. The major limita-
tion is that this field can only excite the
fluorophores, which are just adjacent to the inter-
face, thus resulting in an optical sectioning effect.
This can be addressed by using prism-based TIRF
microscopes, as excitation light bypasses the
objective lens (Brakenhoff et al. 1986;
Mandracchia et al. 2020).
1.7 Applications/Uses
of Fluorescence Microscope
The fluorescence microscope is widely employed
to study structures in biological samples. It
enables the observation of the ultrastructure of
the cell. This technique can also be studied for
the morphology and even the activities within the
cells. With its potential to segregate individual
cell proteins with utmost precision in the midst
of non-fluorescence materials, it is the most pre-
ferred microscopy technique to understand the
dynamic behavior of living cells. Hence it can
detect as low as 50 molecules/mm
3
. Many
structures can be traced at once with fluorescent
dyes of different colors. This property has led to
the widespread usage of fluorescence microscopy
in neurobiology, physiology, embryology, oncol-
ogy, etc. (Masters et al. 1997).
1.8 Recent Trends and Application
With the advancement in technology, many more
features have been invented in microscopy, thus
extending its applications to different fields. A
basic fluorescence microscope is a routine instru-
ment for a cell biologist. A few of the recent
inventions include scanning probe microscopy,
ultrasonic force microscopy, digital holographic
microscopy, photoacoustic microscopy, laser
microscopy, etc. The use of a microscope is no
longer limited to observing objects invisible to
the naked eye. It is widely used in the medical
field for In-vitro diagnostics, examining forensic
pieces of evidence, 3D imaging, next-generation
sequencing of genetic material, digital assisted
cell morphology, automated digital pathology,
cell sorting, and counting, studying the atomic
structure, etc. When closely placed fluorescent
objects are viewed under a microscope, there is
a greater chance of blur image formation due to
bright blur as each object emits an overlapping
cone of light. Super-resolution microscopy has
helped to overcome the traditional diffraction
limits encountered in optical microscopy (Dani
and Huang 2010). Hence the observation of
objects which are sparsely spaced can yield a
better image, which is the principle behind
photoactivated localization microscopy (PALM)
(Betzig et al. 2006) and stochastic optical recon-
struction microscopy (STORM) (Rust et al.
2006). PALM fluorescence from the individual
fluorophore is separated by temporary separation
of their emission periods. STORM is a super-
resolution variant of the immunofluorescence
technique that uses photo sandwich-able fluores-
cent dyes. Another dynamic approach is the
stimulated emission depletion (STED) micro-
scope. Here indicators are separated by reducing
the excitation spot size. Although the diffraction
limit of microscope optics still exists in this type,
the major advantage of the STED microscope is
using a simple continuous wavelength laser
instead of synchronized pulsed lasers (Hell 2009).
1 Advances in Microscopy and Its Applications with Special Reference to... 15
1.9 Conclusion
The science of microscopy is centuries old.
Inventions with the ability to visualize clearly
and accurately are the key factor that has led to
the evolution of different microscopes. Each
advancement has led to steady improvement in
microscopy, which has revolutionized the field of
science, especially medicine. It is indeed micros-
copy that has resulted in the development of
different branches of medicine like histology,
pathology, microbiology, etc. Histopathology
has enabled the accurate diagnosis of various
diseases and timely treatment of the same. Recent
microscopes have made possible three-
dimensional views of various structures/samples
under study. This is aided by updated software
and graphics which can record, store and analyze
complex data. The future of microscopy depends
on the development of technologies that enables
the observer to visualize the sample in three
dimensions with utmost precision. With the appli-
cation of artificial intelligence, there is more
scope for digitalization and integration by which
the observer can witness the whole process hap-
pening in the entire biological sample. Also,
novel soft wares have been developed to refrain
unwanted signals arising from of focus region of
the sample and disclose the in-focus region of
interest. This will result in enhanced precision
and reliability, thus enabling the observations to
be more reproducible and significant. Such
advancements will not only spearhead a new era
of scientific imaging and fundamentally switch
the way that researchers think when observing
an organism, tissues, and three-dimensional cell
cultures like organoids; they will also optimize
and further enhance what is already existing.
References
Abbe E (1874) A contribution to the theory of the micro-
scope and the nature of microscopic vision. Proc
Bristol Nat Soc 1:200–261
Abramowitz M, Davidson MW (2007) Introduction to
microscopy. Molecular Expressions. Retrieved June
30, 2022
Ambrose EJ (1956) A surface contact microscope for the
study of cell movements. Nature 178:1194
Atti Della, Fondazione Giorgio, Ronchi E (1975)
Contributi Dell’Istituto Nazionale Di Ottica, vol
30, La Fondazione, p 554
Axelrod D (2001) Total internal reflection fluorescence
microscopy in cell biology. Traffic 2:764–774
Bell AG (1880) On the production and reproduction of
sound by light. Am J Sci s3-20(118):305–324
Betzig E, Patterson GH, Sougrat R, Lindwasser OW,
Olenych S, Bonifacino JS et al (2006) Imaging intra-
cellular fluorescent proteins at nanometer resolution.
Science 313:1642–1645
Brakenhoff GJ, Voort HVD, Spronsen EV, Nanninga N
(1986) Three-dimensional imaging by confocal scan-
ning fluorescence microscopy a. Ann N Y Acad Sci
483(1):405–415
Bruni M, Cimini F, Costa U (1998) An alternative method
of detecting dispersion staining colors for the determi-
nation of asbestos fibers in bulk materials. Med Lav
89(3):254–264
Chandler DE, Roberson RW (2009) Bioimaging: current
concepts in light and electron microscopy. Jones &
Bartlett Publishers
Coumans FAW, Van der Pol E, Terstappen LWMM
(2012) Flat-top illumination profile in an
epi-fluorescence microscope by dual micro lens arrays.
Cytometry A 81(4):324–331
Dani A, Huang B (2010) New resolving power for light
microscopy: applications to neurobiology. Curr Opin
Neurobiol 20(5):648–652
Denk W, Strickler JH, Webb WW (1990) Two-photon
laser scanning fluorescence microscopy. Science
(New York, NY) 248(4951):73–76
16 N. B. Pushpa et al.
Denk W, Delaney KR, Gelperin A, Kleinfeld D,
Strowbridge BW, Tank DW, Yuste R (1994)
Anatomical and functional imaging of neurons using
2-photon laser scanning microscopy. J Neurosci
Methods 54(2):151–162
Dinelli F, Albonetti C, Kolosov OV (2011) Ultrasonic
force microscopy: detection and imaging of ultra-thin
molecular domains. Ultramicroscopy 111(4):267–272
Duarte FJ (2016) Tunable laser microscopy. In: Duarte FJ
(ed) Tunable laser applications, 3rd edn. CRC Press,
Boca Raton, FL, pp 315–328
Gill H (2010) Evaluating the efficacy of tryptophan fluo-
rescence and absorbance as a selection tool for
identifying protein crystals. Acta Crystallogr F66
(Pt 3):364–372
Gustafsson MG, Shao L, Carlton PM, Wang CR,
Golubovskaya IN, Cande WZ et al (2008)
Three-dimensional resolution doubling in wide-field
fluorescence microscopy by structured illumination.
Biophys J 94(12):4957–4970
Hama H, Kurokawa H, Kawano H, Ando R, Shimogori T,
Noda H, Fukami K, Sakaue-Sawano A, Miyawaki A
(2011) Scale: a chemical approach for fluorescence
imaging and reconstruction of transparent mouse
brain. Nat Neurosci 14:1481–1488
Heimann PA, Urstadt R (1990) Deep ultraviolet micro-
scope. Appl Opt 29(4):495–501
Hell SW (2009) Microscopy and its focal switch. Nat
Methods 6:24–32
Helmchen F, Denk W (2005) Deep tissue two-photon
microscopy. Nat Methods 2:932–940
Huang B (2010) Super resolution fluorescence micros-
copy. Annu Rev Biochem 78:993–1016
Im K, Mareninov S, Diaz M, Yong WH (2019) An Intro-
duction to Performing Immunofluorescence Staining.
Methods Mol Biol (Clifton, N.J.) 1897:299–311
Inoué S (2006) Foundations of confocal scanned imaging
in light microscopy. In: Pawley J (ed) Handbook of
biological confocal microscopy. Springer, Boston, MA
Jonkman JEN, Swoger J, Kress H, Rohrbach A, Stelzer
EHK (2003) Resolution in optical microscopy.
Methods Enzymol 360:416–446
Kosasih FU, Ducati C (2018) Characterizing degradation
of perovskite solar cells through in-situ and operando
electron microscopy. Nano Energy 47:243–256
Lakowicz JR (2006) Principles of fluorescence spectros-
copy (3rd ed.). Springer, p 954. ISBN 978-0-387-
31278-1
Lane N (2015) The unseen world: reflections on
Leeuwenhoek (1677) ‘Concerning little animal’.
Philos Trans R Soc Lond B Biol Sci 370(1666):
20140344
Lichtman JW, Conchello JA (2005) Fluorescence micros-
copy. Nat Meth 2:910–919
Mandracchia B, Hua X, Guo C, Son J, Urner T, Jia S
(2020) Fast and accurate sCMOS noise correction for
fluorescence microscopy. Nat Commun 11(1):1–12
Masters BR, So PTC, Gratton E (1997) Multiphoton exci-
tation fluorescence microscopy and spectroscopy of
in vivo human skin. Biophys J 72(6): 2405–2412.
Bibcode:1997BpJ...72.2405M
Mualla F, Aubreville M, Maier A (2018) Microscopy,
Chapter 5. In: Maier A, Steidl S, Christlein V et al
(eds) Medical imaging systems: an introductory guide
[Internet]. Springer, Cham, CH. https://doi.org/10.
1007/978-3-319-96520-8_5
Murphy DB, Davidson MW (2012) Fundamentals of light
microscopy and electronic imaging. Wiley,
Hoboken, NJ
Mutasim DF, Adams BB (2001) Immunofluorescence in
dermatology. J Am Acad Dermatol 45:803–822. quiz
22–4
Oldenbourg R (2013) Polarized light microscopy:
principles and practice. Cold Spring Harb Protoc 11:
pdb.top078600. https://doi.org/10.1101/pdb.
top078600
Pawley JB (ed) (2006) Handbook of biological confocal
microscopy, 3rd edn. Springer, Berlin. ISBN
0-387-25921-X
Pollock HM, Kazarian GS (2014) Microspectroscopy in
the mid-infrared. In: Meyers RA (ed) Encyclopedia of
analytical chemistry. Wiley, pp 1–26
Rappaz B, Breton B, Shaffer E, Turcatti G (2014) Digital
holographic microscopy: a quantitative label-free
microscopy technique for phenotypic screening.
Comb Chem High Throughput Screen 17(1):80–88
Ray SF (2002) Applied photographic optics: lenses and
optical systems for photography, film, video, electronic
and digital imaging. Focal Press, p 40. ISBN
0-240-51540-4
Rust MJ, Bates M, Zhuang X (2006) Sub-diffraction-limit
imaging by stochastic optical reconstruction micros-
copy (STORM). Nat Methods 3:793–795
Sanderson MJ, Smith I, Parker I, Bootman MD (2014)
Fluorescence microscopy. Cold Spring Harb Protoc,
p pdb.top071795. https://doi.org/10.1101/pdb.
top071795
Solem JC (1982) High-intensity x-ray holography: an
approach to high-resolution snapshot imaging of
biological specimens. Los Alamos National Labora-
tory Technical Report LA-9508-MS. 83:23581
Solem JC (1983) X-ray imaging on biological specimens.
Proc Int Conf Lasers 83:635–640
The University of Edinburgh (2018) What is microscopy?.
The University of Edinburgh. Retrieved June 30, 2022
Thomas JL, Rudolph W (2008) Biological microscopy
with ultrashort laser pulses. In: Duarte FJ
(ed) Tunable laser applications, 2nd edn. CRC Press,
Boca Raton, FL, pp 245–280
Trache A, Meininger GA (2008) Atomic force microscopy
(AFM). Current protocols in microbiology,
Chapter 2. doi:https://doi.org/10.1002/
9780471729259.mc02c02s8
Tsien RY Waggoner A (1995) Fluorophores for confocal
microscopy. In Pawley JB (ed) Handbook of biological
confocal microscopy. Plenum, New York, pp 267–274.
ISBN 0-306-44826-2. Retrieved 2008-12-13
1 Advances in Microscopy and Its Applications with Special Reference to... 17
Van Helden A, Dupré S; van Gent R (2010) The origins of
the telescope. Amsterdam University Press, p 24. ISBN
978-90-6984-615-6. Archived from the original on
February 15 2017
Wäldchen S, Lehmann J, Klein T, Van De Linde S, Sauer
M (2015) Light-induced cell damage in live-cell super-
resolution microscopy. Sci Rep 5(1):1–12
Wayne (2021) Magnification ratio and how to choose the
Best macro lens. Retrieved June 30, 2022
William Rosenthal (1996) Spectacles and other
vision aids: a history and guide to collecting. Norman
Publishing, pp 391–392
Yao J, Wang LV (2013) Photoacoustic microscopy. Laser
Photonics Rev 7(5):1–36
Zinselmeyer BH, Dempster J, Wokosin DL, Cannon JJ,
Pless R, Parker I, Miller MJ (2009) Chapter 16.
Two-photon microscopy and multidimensional analy-
sis of cell dynamics. Methods Enzymol 461:349–378
e
Visualisation of Host–Pathogen
Communication 2
Amy Dumigan, Ricardo Calderon Gonzalez, Brenda Morris,
and Joana Sá-Pessoa
Abstract
The core of biomedical science is the use of
laboratory techniques to support the diagnosis
and treatment of disease in clinical settings.
Despite tremendous advancement in our
understanding of medicine in recent years,
we are still far from having a complete under-
standing of human physiology in homeostasis,
let alone the pathology of disease states.
Indeed medical advances over the last two
hundred years would not have been possible
without the invention of and continuous
development of visualisation techniques
available to research scientists and clinicians.
As we have all learned from the recent COVID
pandemic, despite advances in modern medi-
cine we still have much to learn regarding
infection biology. Indeed antimicrobial resis-
tant (AMR) bacteria are a global threat to
human health, meaning research into bacterial
pathogenesis is vital. In this chapter, we will
briefly describe the nature of microbes and
host immune responses before delving into
some of the visualisation techniques utilised
in the field of biomedical research with a
focus on host–pathogen interactions.W
will give a brief overview of commonly used
techniques from gold standard staining
methods, in situ hybridisation, microscopy,
western blotting, microbial characterisation,
to cutting-edge image flow cytometry and
mass spectrometry. Specifically, we will
focus on techniques utilised to visualise
interactions between the host, our own bodies,
and invading organisms including bacteria.
We will touch on in vitro and ex vivo
modelling methodology with examples
utilised to delineate pathogenicity in disease.
A better understanding of bacterial biology,
immunology and how these fields interact
(host–pathogen communications) in biomedi-
cal research is integral to developing novel
therapeutic approaches which circumvent the
need for antibiotics, an important issue as we
enter a post-antibiotic era.
A. Dumigan (✉) · R. C. Gonzalez · B. Morris ·
J. Sá-Pessoa
Wellcome-Wolfson Institute for Experimental Medicine,
Queen’s University Belfast, Belfast, UK
e-mail: a.dumigan@qub.ac.uk;r.calderongonzalez@qub.
ac.uk;b.morris04@qub.ac.uk;j.sapessoa@qub.ac.uk
#The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
E. Abdel Meguid et al. (eds.), Biomedical Visualisation, Advances in Experimental Medicine and
Biology 1406, https://doi.org/10.1007/978-3-031-26462-7_2
19
Keywords
Cytometry · Host–pathogen interactions ·
Bacteria · Immune system
2.1 Introduction
Microorganisms can be found almost anywhere
on earth playing an important role in ecosystems,
manufacturing industry and human health. They
can also be regarded as human pathogens and
their fast identification is crucial in the clinical
setting. To aid in bacterial identification, tradi-
tional techniques based on phenotype have been
used routinely for many years. They are based on
morphology, cell wall, growth in different media
or biochemical properties. More recently the
advent of new techniques and their automatiza-
tion allows the use of sequencing or mass spec-
trometry for a more reliable species identification.
In this chapter, we describe some of the most
common tests for bacterial identification from
staining to molecular methods.
20 A. Dumigan et al.
The major groups of microorganisms studied
in microbiology are bacteria, algae, viruses, fungi
and protozoa. Each of which are found ubiqui-
tously in nature. Most microbes consist of a single
cell and are therefore microscopically ranging
from 20 nm viruses to large protozoans around
5 mm or more in diameter. Viruses are tiny acel-
lular entities, on the border between living and
non-living, only behaving like living organisms
once they gain entry to a living host cell. The
most well-studied of these organisms are bacteria.
Therefore, we rely on visualisation techniques
including but not limited to microscopy to study
the interaction of these organisms with our host
cells in order to understand pathogenicity of dis-
ease with the aim of developing medical
interventions for infection.
Most bacteria can be described as having
either rod, spherical, or spiral morphology with
some also possessing filaments. Bacteria can be
motile or non-motile and, unlike eukaryotic cells,
bacteria do not have nuclei. Many bacteria are
able to absorb nutrients from their environment,
and some are also capable of making their own
nutrients via processes including photosynthesis
and other synthetic processes we will discuss later
in this chapter. Herein we will focus on the study
of bacterial infection biology, meaning the study
of bacterial interaction with mammalian host
cells. Although bacteria can interact directly and
indirectly with all mammalian cells, we will focus
on interaction with the main drivers of host
defence, i.e. the immune system.
2.1.1 The Immune System
The immune system is a multi-faceted and com-
plex collaboration of cells acting to protect the
host from infection and maintain the health of
tissues. The main functions of the immune system
are to act as a barrier, recognise pathogens and
initiate immune responses to restore homeostasis
and the health of the host. Epithelial surfaces
provide the initial defences against invading
pathogens via mechanical, chemical and
microbiological methods. Tight junctions
between epithelial cells of the skin and linings
of the lungs, gut and urogenital tracts act as a
mechanical barrier to the external environment.
The presence of mucus and internal commensal
flora also prevents the passage and establishment
of pathogens across epithelial barriers. The
importance of the epithelia becomes apparent
when the barrier is breached by wounds, burns
or loss of epithelial integrity and leads to an
increased risk of infection (Murphy et al. 2008).
The immune system consists of innate and
adaptive immune responses which can be
influenced by factors such as genetics and the
environment (Janeway et al. 2001). All multi-
cellular organisms possess innate-like immunity
including fungi, plants, insects and higher
organisms (Beutler 2004). However, only
vertebrates benefit from an adaptive immune sys-
tem and immunological “memory”(Cooper and
Alder 2006). The innate immune response is
immediate, consistent and broad acting and
activates adaptive immune responses. Con-
versely, the adaptive immune response is delayed
and slow acting upon primary encounter with a
pathogen, yet is highly specific and provides
immunological memory, allowing a rapid
response upon secondary exposure to the same
pathogen (Lee and Mazmanian 2010). Cells from
both innate and adaptive systems coordinate
responses via cell–cell contact or production of
cytokines or chemokines (Getz 2005), mounting
effective and tightly controlled responses while
preventing further damage to tissues. Primary
immunodeficiency disorders (PID) are a group
of heterogeneous illnesses caused by defects in
immune system function. Patients with PID are
much more susceptible to autoimmune disorders,
malignancy and recurrent infections (Raje and
Dinakar 2015). Indeed, bacteria have evolved
strategies to circumvent healthy immune
responses for their own benefit.
2 Visualisation of Host–Pathogen Communication 21
2.1.2 Innate Immunity
The innate immune system has evolved over
millennia to recognise and destroy invading
pathogens (Carrington and Alter 2012). Innate
immunity provides an immediate response
towards foreign antigens. Several factors can
affect the efficacy of innate immune response
including age, health, genetics and lifestyle. The
main function of innate immunity is to detect and
eradicate cells expressing non-self-antigen and is
the first active line of defence against infection.
The innate system is largely dependent on cells of
the myeloid lineage. Myeloid-derived cells
develop in the bone marrow or specialised
tissue-resident cells and include macrophages,
dendritic cells (DCs), neutrophils, basophils,
eosinophils and natural killer (NK) cells of the
lymphoid lineage. These are all specialised cells
with individual functions that work together
towards the destruction and/or clearance of for-
eign pathogens and damaged cells (Murphy et al.
2008).
Macrophages are distributed throughout the
body and are specialised within tissues,
i.e. flattened Küpffer cells of the liver and
microglial cells of the central nervous system
(CNS) (Beutler 2004). In addition to the clearance
of dead cells and debris in tissue homeostasis,
macrophages and DCs (together with neutrophils)
have numerous roles in innate immunity, activa-
tion of adaptive immunity, inflammation,
response to damage and tissue repair.
The main role of macrophages is the phagocy-
tosis and destruction of non-self-antigen, dead
cells and debris. To elicit effective clearance of
pathogens, Macrophages must first recognise
them via surface receptors. The type of phagocy-
tosis is dependent upon the target and its location
although generally the binding of target antigen to
its receptor leads to adherence of the antigen to
the macrophage plasma membrane; this
stimulates contraction of actin and myosin
filaments leading to extension of pseudopods
around the non-self-matter. As further receptors
engage, the foreign antigen is encapsulated in a
vacuole known as a phagosome. Cytoplasmic
lysosomes fuse with the phagosome and release
their contents, which include reactive oxygen
species and nitric oxides, leading to the destruc-
tion of the foreign antigen. Degradation of the
target reveals new ligands which are processed
and presented on the cell surface via major
histocompatability complex (MHC) (Underhill
and Goodridge 2012).
Without even realising it, our bodies are in a
constant flux, our cells are communicating with
one another to elicit strategic and tightly con-
trolled responses in order to protect us from a
plethora of microscopic particles each day. Our
immune system is made up of specialised cells, all
interacting with one another directly or indirectly
to orchestrate a response to invading pathogens
during infection. In the field of host–pathogen
interactions, we combine techniques and knowl-
edge from both microbiology and immunology to
uncover mechanisms utilised by pathogens to
circumvent destruction by immune cells, and ulti-
mately how to prevent that therapeutically. In
order to do this we must utilise several techniques
to assess all aspects of this interaction.
Interestingly some commensal or “good bacte-
ria”found in our bodies, or in the environment,
can become problematic or pathogenic whenever
they enter areas of our bodies which are not
adapted to their presence. For example, when
certain bacteria which are harmless when in the
gut, get into the lungs, can lead to pneumonia or
into the blood leading to septicaemia. One such
example of an opportunistic pathogen is Klebsi-
ella pneumoniae.
22 A. Dumigan et al.
2.1.3 Klebsiella Pneumoniae
and Antimicrobial Resistance:
The Problem
K. pneumoniae is represented by the “K”in
ESKAPE pathogens, the six most significant
causes of drug-resistant hospital infections and
is recognised by the Centre for Disease Control
and Prevention, World Health Organisation, and
the European Union as a significant threat to
global health due to the increasing rates of anti-
microbial resistance (Rice 2008;WHO2014).
A report published in 2022 has shown that,
globally, greater than 600,000 deaths were
associated with, and approximately 200,000
deaths were attributable to K. pneumoniae in
2019 (Murray et al. 2022). K. pneumoniae is
intrinsically resistant to ampicillin, but extended
spectrum beta-lactamase genes, resistance genes
against carbapenemases and most recently colis-
tin have now also been reported, leaving ever-
reducing therapeutic options (Petrosillo et al.
2019; Aris et al. 2020).
Globally, the third highest mortality rates due
to multi-drug resistant infections are either
associated with or attributable to K. pneumoniae
(Murray et al. 2022). Between 2014 and 2017 the
total number of bacteraemia cases caused by
Klebsiella species in England increased by 12%
and Northern Ireland had the highest rates (Public
Health England 2020). Trends for 2011–2015
show increasing resistance to third-generation
cephalosporins, fluoroquinolones,
aminoglycosides, and extended spectrum beta-
lactams in England, while at the minute resistance
to carbapenems remains relatively uncommon
(Public Health England 2020). K. pneumoniae
has been described as a “canary in the coalmine”
as several antibiotic resistance genes have been
first identified in Klebsiella species (Holt et al.
2015; Wyres et al. 2020). As a promiscuous
donor and recipient of plasmids containing anti-
microbial resistance (AMR) genes,
K. pneumoniae, and other Gram-negative bacte-
rial species are accumulating AMR genes, further
reducing the resources there are to treat these
infections (Holt et al. 2015; Wyres et al. 2020).
With the seemingly exponential rise in AMR
bacterial species worldwide, it has never been
more important to understand the host–pathogen
interactions of bacteria versus the host. Indeed the
need for the development of effective
immunotherapeutics which reduce or eradicate
dependency on antibiotics is incredibly impor-
tant. Without this, we are facing a post-antibiotic
era. Using both gold standard and cutting-edge
techniques we can uncover the pathogenesis of
disease and develop novel therapeutics.
Visualisation of interactions is an integral aspect
of research and spans from simple staining to
mass spectrometry, flow cytometry, and CYTOF
technologies.
2.1.4 In Situ Visualisation of Host–
Pathogen Communications
Using fluorescent microscopy, immunohisto-
chemistry, mass spectrometry and fluorescent in
situ hybridisation techniques we can ascertain an
abundance of information regarding bacterial
infection and host responses. Herein we will
describe the applications of each method.
2.1.4.1 Microscopy
Lenses have been used to start fires and correct
vision since around the year 1300. However, it
was not until 300 years later that the Dutch and
Italian spectacle makers combined lenses to visu-
alise far-away objects, a discovery that led to the
first microscope. The visualisation of cells as we
now know then was not until Antoni van
Leeuwenhoek, a Dutch fabric merchant utilised
rudimentary microscopes to identify motile or
“animate”particles (now knowns as cells) from
“inanimate”ones, namely sperm, bacteria, and
protozoa (Shapiro 2003). The term “cells”was
not used until the mid-1800s, when the develop-
ment of condensers and the utilisation of multiple
lenses improved resolution and allowed
identification of fine cellular structures could be
differentiated from artefacts (Shapiro 2018). By
the late 1800s Louis Pasteur, Robert Koch and
others developed the cell theory, combining their
work visualising the metabolic diversity and path-
ological potential of microorganisms. Indeed,
Rudolf Virchow embodied the efforts of many
pathologists to understand disease at a molecular
level with his quote “Omnis cellula e cellula”
(Schultz 2008).
2 Visualisation of Host–Pathogen Communication 23
2.1.4.2 Stains and Dyes
Visualisation of the intricate cellular structures,
morphology and cell-to-cell interactions of
tissues and cells was impossible until the devel-
opment of staining techniques. Indeed, it was not
until around the 1860s that it was determined that
different coloured organic dyes had chemical
affinities that could bind to a variety of cellular
components with varying degrees of intensity.
This work was led by Paul Ehrlich during his
medical education (Kahr et al. 1998). He discov-
ered that the use of synthetic dyes could stain
specimens and allow visualisation of different
cellular components and thus allowed identifica-
tion of different cell subsets within a mixed sam-
ple. In 1882, Ehrlich joined forces with Robert
Koch to develop a stain to detect Mycobacterium
tuberculosis (Mtb), a process which was further
developed by others to result in the e Ziehl–
Neelsen (ZN) stain, which remains a gold stan-
dard technique to detect Mtb (Shapiro 2018).
Most cells and microorganisms lack colour
and contrast and are impossible to observe or
properly characterise morphology under the
microscope without the use of staining. In clinical
settings, a specimen can be prepared as a wet
mount (drop of liquid on a slide or smear of a
tissue in a drop of liquid such as water) or fixated
(attached cells to a slide). Fixation can involve
heat or use of chemical fixatives (methanol, form-
aldehyde, ethanol and glutaraldehyde being the
most common), killing the microorganisms in the
specimen while preserving their integrity. After
fixing, cells are usually stained to apply colour
and facilitate visualisation (Howat and Wilson
2014).
Staining can be done using simple stains that
colour all the specimens regardless of only one
type of organism being present. If the coloured
ion (chromophore) is positively charged it is a
basic dye and binds negatively charged
components such as cell walls (positive stain).
Examples include crystal violet, malachite
green, methylene blue and safranin. If the chro-
mophore is negative, the stain is acidic and tends
to be repelled by negatively charged cell walls of
microbes (negative stain). Examples include
eosin and rose Bengal (Franco-Duarte et al.
2019).
Differential staining on the other hand
involves the use of multiple stains giving different
colours based on the interaction with the dye and
the microorganism’s physio-chemical properties.
The most common example of this type of stain is
Gram staining. In Gram staining, first crystal vio-
let is applied followed by iodine to fix the dye and
ethanol wash (at this point Gram-negative bacte-
ria lose the colour while Gram-positive remain
blue or purple). As a counterstain safranin is
used which stains Gram-negative bacteria red.
Another example is the acid-fast technique that
allows to distinguish acid-fast bacteria such as
Mycobacterium. Cells are stained with
carbolfuchsin (red) using a lipid solvent and
washed with a dilute acid-alcohol solution
which will be washed away from non-acid-fast
bacteria that take up methylene blue afterward.
Other stains allow identification of bacterial
structures such as flagella (using metals) or spores
(using malachite green) (Chauhan and Jindal
2020). Examples are depicted in Table 2.1.
2.1.5 Biochemical Tests
Different bacteria have different biochemical
requirements, and these have been used tradition-
ally in the clinic for the classification of bacteria
(sometimes up to species level). They rely on
their carbon or metabolic usage capabilities and
can be done in test tubes or using commercially
available kits that allow to screen for a panel of
biochemical reactions and their comparison to a
database (Biolog using multiwell plates with the
main carbon and nitrogen metabolites for growth,
API-20A system using dry powder substrates or
VITEK automated broth analysis for instance).
24 A. Dumigan et al.
Table 2.1 Examples of commonly used stains to determine physio-chemical characteristics of microorganisms
Stain type Dyes Purpose
Simple
stains
Basic Methylene blue, crystal violet, malachite green,
safranin.
Stain negatively charged structures
Acidic Eosin, rose Bengal, congo red. Stain positively charged structures.
Negative India ink, nigrosine. Stains background, not sample.
Differential
stains
Gram Uses crystal violet, Gram’s iodine, ethanol and
safranin.
Distinguishes cells by their cell wall
(Gram-positive are purple, Gram-
negative are pink).
Acid-fast Basic fuchsin, acid-alcohol and methylene blue. Distinguishes acid-fast bacteria such
as Mycobacterium (red) from
non-acid fast cells (blue).
Endospore Heat with malachite green and counterstain with
safranin.
Endospores appear green while other
structures are red.
Capsule Negative staining using India ink that stains the
background and capsule stays clear if a
counterstaining is used to stain the cell
Capsules appear clear or halos while
background is dark.
Common biochemical tests include:
•Catalase test (detects catalase, an enzyme that
catalyses the release of oxygen from hydrogen
peroxide present in most aerobic or facultative
anaerobic bacteria such as Staphylococcus)
•Coagulase test (used to differentiate Staphylo-
coccus aureus from coagulase-negative
Staphylococciby inoculation with plasma)
•Oxidase test (detects the presence of cyto-
chrome oxidase in Pseudomonas and Vibrio,
which is absent in Escherichia coli,Klebsiella
or Salmonella)
•Indole test (detects the ability to degrade tryp-
tophan and is used to distinguish Enterobac-
teriaceae such as E. coli that is positive from
Klebsiella that is negative)
•Citrate test (ability to use citrate as the only
carbon source, distinguishes citrate-positive
Klebsiella from E. coli)
•Urease test (detects the ability to degrade urea
and produce ammonia and can distinguish
urease-positive Proteus from urease-negative
E. coli for instance) (Fig. 2.1)
Other tests based on biochemical properties
could be the identification of bacteria based on
their lipid composition using FAME (fatty acid
methyl ester) or PFLA (phospholipid-derived
fatty acids) analysis or the identification of bacte-
ria based on their unique mass spectrum using
MALDI-TOF) (Chauhan and Jindal 2020).
2.2 Selective
and Differential Media
Another method commonly used to identify bac-
terial species is the use of selective media. This is
when the growth medium is either supplemented
with growth factors which are beneficial to the
health of the bacteria of interest or includes
growth inhibitors which will remove extraneous
species. This method allows the identification of
closely related microorganisms.
Media may be supplemented with antibiotics
which allows only microorganisms resistant to
that antibiotic to grow. Examples of differential
media include those that have indicators or
nutrients that allow a certain biochemical charac-
teristic of a microbe to become apparent (in citrate
agar K. pneumoniae appears as yellow colonies
because they metabolise citrate while E. coli
appears as blue colonies). Table 2.2 depicts
examples of common media.
d e
2 Visualisation of Host–Pathogen Communication 25
Fig. 2.1 Identification of Staphylococcus aureus based on phenotypic and biochemi-
cal tests. (a) Colonies showing pigmented smooth colonies, catalase-positive and
Gram-positive cocci. (b) Biochemical test strips. (c) Identification of the biochemical
test. ( ) Coagulase test. ( ) Test of resistance to the antibiotic novobiocin. This file is
licensed under the Creative Commons Attribution-Share Alike 4.0 International
license. https://creativecommons.org/licenses/by-sa/4.0/legalcode
26 A. Dumigan et al.
Table 2.2 Examples of selective and differential growth media commonly used to identify microorganisms
Type Media name Types of organisms distinguished
Selective YM Yeast and mold
MacConkey Agar Gram-negative bacteria
Mannitol Salt Agar Gram-positive bacteria
Differential Blood agar Becomes transparent in hemolytic strains such as Streptococcus pyogenes
MacConkey Lactose fermentation
X-gal plates Lac operon mutants
2.3 Molecular Methods
Not all microorganisms are culturable in labora-
tory conditions and standard culturing and bio-
chemical tests are time-consuming. Molecular
techniques are more advantageous since they are
rapid, more sensitive and more specific, allowing
as well to identify strains that are difficult to
culture. They include 16S sequencing, RT-PCR,
random amplified polymorphism
deoxyribonucleic acid (RAPD), restriction frag-
ment length polymorphism (RFLP), whole-
genome sequencing (WGS) sequencing and
MALDI-TOF (Franco-Duarte et al. 2019).
16S rRNA PCR is one of the most commonly
used molecular methods. It relies on the fact that
this rRNA is highly conserved amongst bacteria
but has variability regions that can be used to
identify specific species. It involves the PCR
amplification of the 16S rRNA gene, sequencing
and comparison to a database. It can be applied to
a variety of samples but involves pre-processing
as some samples can have compounds that inhibit
the PCR reaction. RAPD-PCR on the other hand
involves the amplification of random sequences
in template bacterial DNA using short primer
sequences, resulting in a profile for identification
that can be compared to a database. It has the
advantage of allowing the identification of bacte-
ria that have not been sequenced and requires no
previous DNA isolation. RFLP uses restriction
enzymes that can cut PCR products into different
fragments generating a unique pattern. WGS has
become more affordable and can be useful both in
bacterial genotyping but also in antimicrobial
resistance allowing to investigate clinical
outbreaks. In MALDI-TOF MS, the proteins of
a bacterial species are analysed by creating
a mass:charge ratio pattern that can be compared
to a library of strains (Adzitey et al. 2013).
2.4 Haematoxylin and Eosin
Ehrlich experimented with acidic (able to stain
cell cytoplasm) and basic (nucleic) dyes. One
such dye was developed from logwood
(Hematoxylon campechianum) extract, discov-
ered by Spanish explorers in 1502 (Kahr et al.
1998), leading to the development of
Haematoxylin and Eosin (H&E) staining tech-
nique. H&E staining, arguably first utilised nearly
200 years ago in 1830 (von Waldeyer 1863),
though nearly 200 years old, is still considered
the gold standard staining technique used by
pathologists and researchers globally today.
Indeed, millions of microscopy slides are
prepared daily to be viewed by pathologists for
clinical diagnosis (Titford 2005). When bacteria
are present in large numbers, in an abscess for
example, they appear as blue-grey granular mass
using H&E stain. Often in research, when
identifying differences in pathogenicity of bacte-
rial strains, it is more informative to assess host
responses using H&E staining.
To better understand how K. pneumoniae
interacts with immune response, Dumiganb
et al. developed a novel whole lung ex vivo infec-
tion model using porcine lungs. Histological anal-
ysis of porcine tissues utilised in a whole lung
ex vivo lung perfusion model of infection
(Dumigan et al. 2019) was carried out based on
parameters of acute respiratory distress syndrome
(ARDS) in animal models as defined by the
American Thoracic Society. Pathogenic
hallmarks of lung injury include the thickening
of alveolar septa and infiltration of proteinaceous
debris, red blood cells (haemorrhage), and
immune cells, including neutrophils, into the
alveolar space (neutrophilic alveolitis) (Matute-
Bello et al. 2011). Analysis of lung sections
stained with H&E revealed signs of injury in the
lungs infected with the opportunistic pathogen
Klebsiella pneumoniae, although injury was
more severe in those lungs infected with the
non-attenuated clinical strain Kp52145
(Fig. 2.2a). This was further confirmed by analy-
sis of alveolar septal thickness (Fig. 2.2b). Infec-
tion with an attenuated mutant strain lacking
polysaccharide capsule (a major virulence factor
of Klebsiella pneumoniae) induced significantly
enhanced alveolar septal thickening compared to
that of PBS controls; however, this damage was
significantly reduced compared to that of
Kp52145-infected lungs (Fig. 2.2b).
2 Visualisation of Host–Pathogen Communication 27
Fig. 2.2 Porcine EVLP model recapitulates clinical
hallmarks of K. pneumoniae-induced pneumonia. (a)
Haematoxylin and eosin staining of porcine lung samples
(magnification, ×400) from lungs mock-infected (PBS) or
infected with Kp52145 and strain 52145-Δwca
K2
.(b)
Alveolar septal thickness was measured using ImageJ
software. Each dot represents an average of three alveolar
thicknesses per image, corresponding to three sections per
lung across three experimental replicates from lungs
mock-infected (PBS) or infected with Kp52145 and strain
52145-Δwca
K2
.(c) Intra-alveolar haemorrhage was scored
per image whereby 0, 1, 2, and 3 represent none, mild,
moderate, and severe levels of red blood corpuscles within
the alveolar space from lungs mock-infected (PBS) or
infected with Kp52145 and strain 52145-Δwca
K2
.(d)
Number of nucleated cells evident in the alveolar space
per image from lungs mock-infected (PBS) or infected
with Kp52145 and strain 52145-Δwca
K2
. Statistical anal-
ysis was carried out using one-way ANOVA with
Bonferroni correction. Error bars indicate SEM. (Dumigan
et al. 2019). Image shared with permission of
corresponding author Prof Jose Bengoechea
Using scoring, we can glean further quantita-
tive information from histology. The presence of
intra-alveolar haemorrhage was assigned a score
of 0, 1, 2, or 3 based on a semiquantitative assess-
ment of none, mild, moderate, or severe. Scoring
confirmed significantly enhanced haemorrhage in
lungs infected with Kp52145 compared to that in
the PBS-mock-infected lungs and the lungs
infected with the cps mutant (Fig. 2.2c).
Haemorrhage was accompanied by the presence
of inflammatory immune cells within the alveolar
space. The number of nucleated cells in the alve-
olar space was quantified, and it was significantly
higher in the lungs infected with Kp52145 than in
those infected with the cps mutant or PBS-mock
infected (Fig. 2.2d).
28 A. Dumigan et al.
In terms of methodology in this model, tissue
sections (×1cm
3
) were collected from the cra-
nial, middle, and caudal lobes of each lung fixed
in 10 ml 10% formalin. After a minimum of 48 h
at room temperature, samples were processed for
paraffin embedding, sectioning, and
haematoxylin and eosin staining. Samples were
imaged using a DM5500 Leica vertical micro-
scope at a magnification of ×200. Alveolar septal
oedema was quantified by measuring the alveolar
septal thickness with ImageJ software, whereby
three measurements of the thickest septa were
acquired per image and averaged, and 30 images
were acquired, whereby 10 images were acquired
per section and 3 sections per lung. Alveolar septa
adjacent to a blood vessel or airway were
excluded due to normal thickening resulting
from collagen deposition. Intra-alveolar
haemorrhage and the presence of intra-alveolar
mononuclear cells and proteinaceous debris
were also recorded. Histological scores were
assigned based on parameters described previ-
ously (Matute-Bello et al. 2011). Haemorrhage
was scored as follows: 0, none; 1, mild; 2, moder-
ate; and 3, severe. Proteinaceous debris scored as
follows: 0, none; 1, protein present; and 2, abun-
dant presence of protein in alveolar spaces. The
number of nucleated cells within the alveolar
space was counted and presented as intra-alveolar
leukocytes. Five images were scored per section,
with three sections per lung at a magnification of
×400 (Dumigan et al. 2019).
The use of H&E staining in this model allowed
us to determine that each of the major hallmarks
of human disease was reproducible in our porcine
model of disease. In addition, we were able to
determine that the model was sensitive enough to
test alternative bacterial strains and therefore
draw conclusions for further research (Dumigan
et al. 2019).
2.5 Fluorescence Microscopy
Microscopy is an important tool in following
host–pathogen interactions. It allows the
visualisation of the complex interactions between
host and pathogen and ascertains how the subcel-
lular localisation could be important in shaping
those interactions. It has been evolving since the
seventeenth century and now besides allowing us
to observe fixed or frozen tissues it allows even to
observe at the molecular level.
Fluorescence microscopy takes advantage of
the fact that many compounds or proteins have
fluorescence properties allowing for visualisation
by tagging single molecules with these
fluorophores. Another option is immunolabeling
whereby a protein is tagged with an antibody
molecule and a cognate fluorescent antigen. The
advent of confocal microscopy which allows
high-resolution and contrast images has improved
visualisation. Furthermore, super-resolution
approaches such as stimulated emission depletion
microscopy (STED) or super-resolution
structured illumination microscopy (SR-SIM)
have allowed to observe immune responses at
the molecular level (Wen et al. 2020).
2.6 Fluorescence In Situ
Hybridisation (FISH)
Starting with the first in situ hybridisation (ISH)
experiments in 1969 and the first uses of
non-radioisotopic probes in the mid-1970 s to
the current implementation of microfluidics
(Huber et al. 2018), FISH has become a common
technique used both on research and clinical
diagnostics.
The basic principle of this method is the ISH of
a known-sequence probe with a specific sequence
inside the cells. Both probe and target can be
either RNA or DNA. Multiple uses of FISH tech-
nique have been described (Volpi and Bridger
2008), but the processing steps are the same for
all of them, and independently that the target is a
cytological, histological or a whole-mount prepa-
ration (Young et al. 2020).
The first step for a FISH experiment is the
design of the probes to use. Regardless of any
other aspect, they need to be complementary to
the target sequence we want to detect. Their size
can vary, as well as the fluorescent molecule that
they have attached and that will allow their detec-
tion. Larger probes, between 500 and 1500 bases,
are useful when high sensitivity is required (also
being less expensive), while shorter ones offer
high specificity. That is the case of the Stellaris™
probes, with just a few dozens of nucleotides
length, which allow the detection of individual
molecules of mRNA (Orjalo et al. 2011).
2 Visualisation of Host–Pathogen Communication 29
Once we have the appropriate probes, we can
perform the ISH (usually after fixation and
permeabilisation steps, to preserve the cellular/
histological structure and facilitate the entry of
the probes into the cells). For this, optimal
conditions have to be assured, paying attention
to several factors such as temperature, time, pH,
salt concentration, etc. One critical factor is the
addition of formamide. The melting temperature
(T
m
) of DNA is defined as the temperature at
which half of the DNA strands are present as
single strands. DNA denaturalisation is required
prior to the hybridisation with the probes, and as
this is usually obtained at high temperatures, there
is the risk of damaging the cell/tissue structure.
The use of formamide reduces the T
m
(McConaughy et al. 1969), linearly by 2.4–2.9 °
C per mole of formamide (Blake and Delcourt
1996). Once the hybridisation has been done,
several washes in order to reduce the background
signal both from the unbound probes and
autofluorescence or light scatter caused by the
tissue (Richardson and Lichtman 2015). With
the samples prepared and mounted, all that
remains is visualising the samples in a fluores-
cence microscopy and, if required, performing
quantitative analysis.
2.7 Flow Cytometry
It was in the 1880s when the term “cytometer”
appeared, used to describe a device which could
count the number of cells in a particular volume.
At this time leukaemia and anaemia could be
identified, and although the cause was unclear, it
was understood that changes in cell morphology
and number over time could indicate the clinical
outcome of the patient. Though a cytometer
describes the device, “cytometry”is the process.
As the cells analysed at this time often came from
human blood “haem”, an easily obtained sample,
led to the birth of “haemocytometer”. Microscopy
remained the main instrument to assess cell num-
ber and morphology until the 1950s and “flow
cytometry”would not come around until
the 1970s (Harris 1999; Shapiro 2018). In 1953
the first flow cytometer was disclosed, using the
Coulter Principle to assess cell numbers in a sus-
pension. The first cell sorter using a similar prin-
ciple with addition of droplet-based methods for
subsequent cell purification arrived in 1965
(Fulwyler 1965). Flow cytometry, as we know it
today, could not have come about without the use
and development of synthetic dyes to stain
samples. This was an essential step as light scat-
tering and absorption by cells is insufficient to
allow visual discrimination of internal structures.
In 1968 absorption-based methods for flow
cytometry using fluorescent antibodies emerged,
a pivotal development meaning specific cell types
could be identified in a given population. Cell
sorting and flow cytometry rapidly became popu-
lar, especially with the development of monoclo-
nal antibodies (Köhler and Milstein 1975).
Over the last 70 years flow cytometry and cell
sorting platforms have benefited immensely from
developments in hardware and reagents.
Developments in device design have reduced
device size, costs, and improved flexibility and
ergonomics. Flow cytometry allows multi-
parametric cell analysis; it can be used to deter-
mine the quantity of a given cell type, cell sorting
and analysis of biomarker expression. Presently, a
standard flow cytometer combines fluidics, optics
and software to detect particles using fluorescence
and morphological characteristics –namely size
and granularity. It is a statistically powerful tech-
nique used to characterise heterogeneous
populations from a single-cell suspension. This
single-cell suspension can be whole blood, or
adherent cell lines or solid tissue which has been
dissociated to a single-cell suspension. For solid
tissues, this can be done by homogenising using a
handheld homogeniser (much like a small
blender), or with mechanical force aided by
digestive enzymes. Tissue suspensions often
require filtering using cell strainers or
nylon mesh.
30 A. Dumigan et al.
The fluidics system allows the single-cell sus-
pension to be aligned in an orderly stream via
hydrodynamic or acoustic focusing. This means
that when a single-cell suspension is passed
through the flow cell, the cells are focused into a
central core stream that is surrounded by an outer
sheath of higher pressured fluid. As the cell sus-
pension is passed through the flow cell it
intercepts laser beams, they scatter the light and
emit fluorescence, which is picked up by
detectors and presented on screen as a dot. The
position of the dot on the flow plot will indicate
the marker expression on a given cell.
We know from previous research mentioned
earlier, that immune cells are specialised, mean-
ing they each express markers of their lineage.
Antibodies are raised against these antigens and
labelled with a fluorescent tag. Depending on the
number of lasers a cytometer possesses, we can
look at several parameters at once to delineate a
particular cell type and assess a given line of
investigation. Cell suspensions are generally
prepared by first staining markers on their cell
surface (for instance Ly6C is a marker for cells
of the myeloid lineage, including macrophages
and DCs, but not neutrophils). After cell surface
markers have been stained with antibodies tagged
with fluorophores, cells are then fixed and
permeabilised in order to stain intracellular
components such interferon-gamma (IFNg) a
proinflammatory cytokine. Before washing and
analysis using a flow cytometer (Fig. 2.3).
We used this technique to assess the number
and activation status of NK cells between wild
type (WT) and genetically modified mice lacking
receptors for Type I IFNs (IFNAR
-/-
), as shown
in Fig. 2.3. Type I IFN signalling induces NK cell
accumulation and activation in lungs during
K. pneumoniae infection (Ivin et al. 2017).
Flow cytometry is an incredibly useful tool
employed by research and clinical labs globally
and is only set to become a more powerful tool in
the future.
2.8 Imaging Flow Cytometry (IFC)
Imaging flow cytometry (IFC) is a relatively new
technology combining the conventional benefits
of non-imaging flow cytometry to identify,
i.e. analyse and quantify single cells in a heterog-
enous population, with additional imaging IFC,
we can determine the size, shape, and structure of
a cell. This has inherent benefits as morphological
evidence can help determine the stage and pro-
gression of disease, improving biomedical
research and clinical decisions to design
personalised patient treatment strategies (Lei
et al. 2018). IFC has rapidly become an
established cytometric analysis tool in a wide
range of biological research including, but not
limited to, microbiology, immunology, and stem
cell biology (Lei et al. 2018; Goda et al. 2019).
This technique provides spatially registered, mor-
phological, and quantitative data for each, and
every event captured, meaning each cell can be
characterised in detail providing an image of each
cell as well as cytometric evaluation within pure
or heterogenous populations. IFC is effective for
the detection of cell death, DNA damage/repair,
quantification of specific proteins, and peptides. It
can also be combined with fluorescent in situ
hybridisation. In addition, computational biology
can also be utilised in combination with IFC
(Eulenberg et al. 2017). This detailed analysis
provided by IFC allows us to better understand
cell-to-cell interactions in a physiologically rele-
vant setting. Indeed, this technology has a pleth-
ora of potential clinical uses including stage and
progression of blood-born cancers and the identi-
fication of infectious diseases (Goda et al. 2019).
Significant expansion of IFC capabilities is
expected in the next decade or so, especially
with the emergence of microfluidics and its inte-
gration into IFC systems. Microfluidics rather
than traditional capillary-based flow cytometry
provides greater versatility in terms of
multiplexing and automation, thus providing
greater scope for the preparation, analysis and
manipulation of cells (Goda et al. 2019).
2 Visualisation of Host–Pathogen Communication 31
+24 h
Inoculum
Surface staining Intracellular
Staining
FACS
NK1.1
+NK cells
4
3
2
1
% of CD45°
cells/lung
0
12 h 12 h
0
2×105
4×105
6×105
8×105
PBS NK 1.1
0
3,56
3,25
4,4
2,52
0
0
0
[log10fl.]
[log10fl.]
NK1.1
+NK cells
WT
CD3
WT
Ifnar1-/-
Ifnar1-/-
Fig. 2.3 Schematic representation of flow cytometry
analysis of murine tissues. Mice were infected with
K. pneumoniae or PBS controls, at end of infection,
lungs are harvested and homogenised before red cells are
removed and cell suspension stained with surface
expressed markers (blue squares), cells were then fixed
and permeabilised before intracellular targets are stained
(orange square) followed by analysis by flow cytometry.
Shown here are flow plots depicting number of NK cells
within WT and IFNAR-/-animals from Ivin et al.
(2017). Image included with permission from
corresponding author Prof Jose Bengoechea
2.9 ELISAs
Infections can lead to an imbalance of the host
immune response and therefore it is important to
use immunoassays to determine to what extent
that imbalance is affecting the clinical outcomes.
Enzyme-linked immunosorbent assay
(ELISA) is a sensitive immunoassay used to
detect antibodies, antigens, proteins,
glycoproteins and hormones. It is a microwell
plate-based method that relies on the binding of
an antigen to a target antibody generating a
detectable signal, either chemiluminescent, fluo-
rescent or colorimetric.
In Klebsiella pneumoniae infection research
our laboratory has used this method to detect a
natural block of the immune system upon infec-
tion. This pathogen dampens the activation of
inflammatory responses by inhibiting the activa-
tion of the NF-κB pathway and reducing levels of
IL-8 released by the immune system (Tomás et al.
2015).
2.10 Western Blotting
Western blotting or immunoblotting was
introduced by Towbin in 1979 and is used to
separate and identify proteins (Kurien and
Scofield 2015). The technique involves gel elec-
trophoresis that separates a mixture of proteins
based on molecular weight which is then trans-
ferred to a membrane incubated with antibodies
specific to the protein of interest. To prepare
samples for running on a gel, cells and tissues
are lysed to release the proteins of interest and
solubilised so they can be migrated individually
on the gel. Antibodies recognise a small portion
of the protein of interest (the epitope) proteins
need to be denatured (unfolded) to allow binding.
An anionic detergent and heat are applied for
denaturing the proteins. Blocking the membrane
prevents the non-specific background binding of
the antibodies. To visualise the protein of interest,
a primary protein-specific antibody is applied
followed by a secondary antibody for detection
and visualisation. Immunoblotting is routinely
used in the lab to detect immune responses to
bacterial infection by probing common proteins
in signalling pathways affected by the pathogen
(Wen et al. 2020).
32 A. Dumigan et al.
2.11 Visualisation of Bacterial
Factors
Bacteria range in size from 0.5 to 5 micrometres
(μm). One such example is Klebsiella
pneumoniae, a Gram-negative encapsulated bac-
teria approximately 3 μm in length.
K. pneumoniae are phagocytosed and can survive
within macrophages in specialised vacuoles
called Klebsiella-containing vacuoles (KCV).
The size obviously poses difficulty visualising
bacteria, and when trying to unravel the complex
host–pathogen interactions, even more so.
In this section, we will describe techniques
utilised in microbiology research to analyse facets
of bacterial function and growth.
2.12 Spectrophotometry
Spectrophotometry is the use of light to measure
the turbidity of a solution. A calibration curve of
known bacterial number will correspond to a
given % Transmission of light, providing a mea-
surement tool that greatly increases the speed at
which bacterial number can be established. This
is used extensively in microbiology laboratories
to equilibrate bacterial numbers used in
experiments to ensure valid results. Using
K. pneumoniae as an example, at an optical den-
sity (OD) of 1, there are 5 ×10
8
bacterial cells/ml.
2.13 Bioscreen
This same principle can be used to determine
bacterial growth over time. The generation or
doubling time of a given bacterial species can
vary widely, again using K. pneumoniae as an
example, doubling time is approximately
20 min. Population growth consists of 4 phases:
lag phase, exponential phase, stationary phase
and decline phase. These phases can be deter-
mined by taking samples of bacterial cultures
every 20 min and measuring the optical density.
This process can be automated using a piece of
equipment that can read OD at specific time
intervals, the Bioscreen CTM Automated Micro-
bial Growth Analyzer (MTX Lab Systems,
Vienna, VA, USA) for example. This method
can be used to differentiate the ability of bacteria
to grow in different conditions. Figure 2.2 shows
the growth kinetics of K. pneumoniae in chemi-
cally defined media supplemented with glucose,
and a strain of K. pneumoniae that has a meta-
bolic growth defect.
2.14 Plating
Another means of visualising population growth
of bacteria is counting of colony-forming units
(CFU) (Fig. 2.4a). Each CFU is assumed to have
grown from a single bacteria cell. In order to be
able to count the number, a sample is taken from a
bacterial culture every 20 min and serially
diluted. A given volume of the dilution is spotted
onto an LB agar (nutrient-rich, solid growth
medium) and spread evenly over the agar and
the bacteria are allowed to grow.
Bacterial species can be “visualised”using
selective agar. K. pneumoniae can metabolise
citrate. Simmons citrate agar’s sole nutrient
source is citrate and can therefore act as a selec-
tive media (Fig. 2.4a). Citrate can be metabolised
by many bacteria by myo-inositol is selective for
Klebsiella species. Citrate- myo-inositol agar is
used during gut colonisation infection
experiments with K. pneumoniae so only this
bacterium grows and the ability to colonise the
gut can be determined (Fig. 2.4b).
2.15 String Test
Infections caused by K. pneumoniae can be very
broadly divided into classical (cKp) and hypervir-
ulent (hvKp) sources, where cKP has been more
associated with hospital-acquired infections and
hvKp with community-acquired infections
(Wyres et al. 2020). Hypervirulent
K. pneumoniae was initially described from an
isolated strain in the mid-1980s in Taiwan (Cata-
lán-Nájera et al. 2017). The most characterised
virulence factors of K. pneumoniae are the cap-
sule, lipopolysaccharide, O-antigen and
siderophores as well as outer membrane proteins,
porins and Type1 and 3 fimbriae (Lawlor et al.
2005; Paczosa and Mecsas 2016; Bruchmann
et al. 2021). Lipopolysaccharide (LPS) capsule
is one of the major constituents of the membrane
of Gram-negative bacteria and is typically com-
posed of an outer O-antigen, an oligosaccharide
core and inner lipid A molecule (Mills et al. 2017;
Bartholomew et al. 2019). One of the key viru-
lence factors for K. pneumoniae infection is the
characteristic capsule and, as previously
described, this can result in a hypermucoviscous
phenotype (Paczosa and Mecsas 2016). There are
at least 77 recognised capsular types, designated
as K1 or K2 for example, with at least 1345
distinct K-types that have been identified through
genome sequencing (Wyres and Holt 2016). As a
capsulated bacterium, K. pneumoniae appears
mucoid when grown on nutrient agar but the
hypermucoviscous designation is only given to
those strains that can produce an elongated fila-
ment of ≥5 mm upon stretching with an inocula-
tion loop from an agar plate- the string test (Fang
et al. 2004).
2 Visualisation of Host–Pathogen Communication 33
Fig. 2.4 K. pneumoniae can be quantified by counting
colony-forming units (CFU). As there are too many when
concentrated, serial dilutions are performed. (a) Image of
1/10 serial dilution of K. pneumoniae 5×10
8
initial
suspension. At 10
-6
, the CFU can be counted (4) in
10 uL and the total number of CFU/mL calculated. (b)
The total CFU/mL can be calculated to determine the
survival of K. pneumoniae within macrophage by
quantifying the number of bacteria harvested from
macrophages at specific timepoints. (b) Representative
serial dilution from 10
-1
to 10
-4
of K. pneumoniae after
60 min contact with macrophages
The string test is essentially a very simple
technique whereby we can quantify the
hypermucoviscosity of a given bacterial culture.
A loop was used to lift a portion of a single colony
approximately 2 mm in diameter from a fresh LB
agar plate. The formation of viscous strings
>5 mm in length indicates a positive string test
(Fang et al. 2004).
2.16 Mass Spectrometry
Since the invention of modern mass
spectrometers in 1913 by electron discoverer
and Nobel Laureate in Physics Joseph John
Thomson (R. 1914), mass spectrometry has
become a valuable tool for biological research.
Mass spectrometry is an analytical technique used
to identify chemical components by measuring
mass-to-charge ratio of ions. The results of this
technique are presented as mass spectrums, a plot
of intensity as a function of mass-to-charge ratio.
These plots are used to determine the elemental or
isotopic nature, the masses of particles or
molecules within a given sample. Both pure and
complex mixtures, gaseous, solid or liquids can
be analysed in this procedure.
34 A. Dumigan et al.
Fig. 2.5 Schematic
diagram of a spectrometer
+ + + + ++ +
+ + + +
+ + + + ++
+ + + + +
ION SOURCE
ANALYZER
ABC
AB
C
DETECTOR
RECORDER
Mass spectrometers have four main
components (Mellon 2003): an ion source, a
mass analyser, a detector and a recorder device
(Fig. 2.5). First, samples need to be ionised by the
ion source, with different techniques being used
and determining which kind of samples can be
analysed. One of the most used for the study of
biomolecules is matrix-assisted laser desorption/
ionisation (MALDI), coined for the first time in
1985 (Karas et al. 1985). It consists of the use of a
pulse laser to irradiate the sample, which is mixed
with a suitable matrix material (DHB, sinapic
acid, ferulic acid, etc.) and applied to a metal
plate. The application of the laser triggers the
ablation and desorption of the sample, and its
ionisation by protonation or deprotonation, after
which it is accelerated into the analyser.
Another commonly used way to produce ions
is electrospray ionisation (ESI), where a high
voltage is applied to the sample, which is solved
in a mix of water, volatile organic compounds
(like methanol or acetonitrile) and some reagent
to increase conductivity (like acetic acid). This,
coupled with the use of a heated inert gas
(i.e. nitrogen) and the high temperature of the
ESI source, cause the nebulisation of charged
droplets that are ejected and accelerated into the
mass analyser (Bruins 1998).
After ionisation, sample’s ions are accelerated
into the mass analyser. Again, several analysers
can be used, but the most common ones for the
study of molecules of biological interest are
Time-of-flight (TOF) mass analysers. They are
based on the fact that ions accelerated in an elec-
tric field of constant and known voltage and
length (all englobed under a constant K, called
calibrating factor), the time they take to reach the
detector (t) is related to their mass-to-charge ratio
(m/z) according to the following equation
(El-Aneed et al. 2009):
m
z=Kt2
This way, the time that each of the ionised
atoms and molecules of the samples takes to
reach the detector is recorded. The most common
detector is an electron multiplier, which amplifies
the signals received that is recorded and
represented most commonly in the form of a
mass spectrum (Fig. 2.6). This is usually com-
pared to a library of known mass spectra, which
allows the identification of the compound present
in the sample.
2.17 Application in Microbiology
Mass spectrometry has become an important tool
in both microbiology research and clinical
diagnostics, being a fast and accurate method
that does not require specialised training and
being less expensive than other routine methods
(despite having an initial high cost in equipment)
(Singhal et al. 2015).
2 Visualisation of Host–Pathogen Communication 35
100
75
50
% intensity
% intensity
25
0
100
75
50
25
0
1200 1400 1600 1800
1824
1840 1866
1840
1824
2000 2200
m/z 1200 1400 1600 1800 2000 2200
m/z
Fig. 2.6 Mass spectra obtained of lipid A extracted from Klebsiella pneumoniae strain Kp52145 grown in LB (left) and
recovered from lungs of infected C57BL/6 mice (right). Figures obtained from Llobet et al. (2015)
MALDI and ESI mass spectrometry has been
recently used for the rapid identification and clas-
sification of bacteria and other microorganisms
(Sauer and Kliem 2010). Colonies from clinical
isolates can be analysed by MALDI-TOF to
obtain spectral fingerprints that are compared to
those stored in databases provided by the mass
spectrometer supplier (Croxatto et al. 2012).
Also, direct identification from urine or blood
samples can be performed, although this requires
some previous processing to concentrate the
microorganism, as well as eliminating other
compounds present in these fluids that would
suppose a too complex mix to be analysed by
mass spectrometry.
It has also become a powerful proteomics tool
to study host–pathogen interactions (Sukumaran
et al. 2021). During an infection, mass spectrom-
etry can be used to analyse the protein composi-
tion of different compartments, as cell proteome
changes during Salmonella infection (Selkrig
et al. 2020), different proteome expression in
neutrophils from two mice strains infected with
Pseudomonas aeruginosa (Kugadas et al. 2019),
analysis of exosomes released from human
macrophages after Mycobacterium tuberculosis
infection (Diaz et al. 2016), or the
characterisation of post-translational modification
after viral infections (Kulej et al. 2015). Also,
protein-protein interaction can be analysed by
the combination of affinity purification and mass
spectrometry (AP-MS) (Morris et al. 2014); this
has been recently used in the search of therapeutic
target against SARS-CoV-2 infection (Gordon
et al. 2020).
Not only proteins can be analysed in mass
cytometry. MALDI-TOF can be used for the anal-
ysis of nucleic acids, which has been applied to
the discovery of single-nucleotide
polymorphisms (Stanssens et al. 2004) and epide-
miological studies (Ecker et al. 2009).
Genetic analysis of environmental strains and
human isolates has distinguished four
phylogroups and determined that they should be
designated as distinct species: Klebsiella
pneumoniae (Kp1), Klebsiella quasipneumoniae
subspecies quasipneumoniae (Kp2), Klebsiella
quasipneumoniae subspecies similipneumoniae
(Kp4) and Klebsiella variicola (Kp3) (Brisse
and Verhoef 2001; Rosenblueth et al. 2004; Holt
et al. 2015). Recent taxonomic updates and
matrix-assisted laser desorption ionisation time
of flight (MALDI-TOF) mass spectrometry
(MS) has further identified K. pneumoniae
phylogroups Kp5 and Kp6. Together these are
recognised as the K. pneumoniae complex
(KPC) (Rodrigues et al. 2018). Although all
KPC species can cause human infections,
K. pneumoniae is the strain most isolated from
patients (Holt et al. 2015).
Finally, mass spectrometry has been also used
to decipher the structure of bacterial lipopolysac-
charides. In Klebsiella pneumoniae, it has been
shown that it modifies lipid A structure in a
tissue-dependent manner (Fig. 2.6) (Llobet et al.
2015). It has been also described how two
acyltransferases, LpxL1 and LpxL2, catalyse the
addition of laurate and myristate, respectively and
have an important role in Klebsiella virulence
(Mills et al. 2017).
36 A. Dumigan et al.
2.18 Closing Statement
In this chapter, we have given a brief overview of
the importance of the study of microorganisms
and of our own body’s defence against infection
via specialised cells of the immune system. It is
important to remember that we have evolved to
have a largely symbiotic relationship with
microorganisms in that we have “good bactieria”
in our guts which aid digestion. However, when
infected with pathogenic bacteria or with nor-
mally commensal bacteria in a compartment of
the body ill-adapted to the presence of specific
bacteria, the example we have provided is that of
the opportunistic pathogen Klebsiella
pneumoniea, we begin to see morbidity and mor-
tality. Therefore, the field of host–pathogen com-
munication is the study of how bacteria and host
interact in order to understand the pathogenicity
of disease and develop novel effective treatments.
Visualisation of intricate cellular structure,
morphology and cell-to-cell interactions is an
essential aspect to the study of host–pathogen
interactions. Continued development of
visualisation techniques and advances in technol-
ogy available to biomedical researchers and
clinicians is integral for the continued progress
of medicine. We have covered the development
of microscopy and the use of standardised
staining and dye protocols which have been
around for over a century and are still used
today. One such stain is H&E used by
pathologists and researchers worldwide. The use
of FISH to visualise gene expression in situ. The
basis of flow cytometry as a highly useful tool in
understanding immune cells and the development
of cutting-edge imaging f1ow cytometry and
mass spectrometry. The use of these technologies
in conjunction with standard protein immunoblot-
ting has helped researchers not only determine
cell activation and recruitment but also to delin-
eate cell signalling processes involved. The use of
plating techniques allows us to decipher bacterial
loads in vitro and in vitro. Also the use of simple
string tests and selective media to characterise
bacterial strains are all used in combination.
Indeed as researchers we depend on the versatility
of techniques available in order to investigate
biological questions; this is key as there is not
one perfect technique but rather a combination
must be used to fully elucidate mechanisms at
play. Clinicians also routinely utilise plating,
microscopy and flow cytometry to diagnose
patients and develop effective treatment plans.
Combining proteomics, cell surface expression
and intracellular staining We know that K.
psubverts inflammation and via the use of the
techniques described herein, we can observe how
K.p influences innate immune cells to evade the
immune response and promote its own survival.
This is very important work as with continued rise
of AMR in several bacterial pathogens worldwide
(WHO 2014), understanding of host–pathogen
interactions is key to developing effective thera-
peutic interventions.
References
Adzitey F, Huda N, Ali GR (2013) Molecular techniques
for detecting and typing of bacteria, advantages and
application to foodborne pathogens isolated from
ducks. 3 Biotech 3(2):97–107. https://doi.org/10.
1007/s13205-012-0074-4
Aris P, Robatjazi S, Nikkhahi F, Amin Marashi SM (2020)
Molecular mechanisms and prevalence of colistin
resistance of Klebsiella pneumoniae in the Middle
East region: A review over the last 5 years. J Glob
Antimicrob Resist 22:625–630. https://doi.org/10.
1016/j.jgar.2020.06.009
Bartholomew TL, Kidd TJ, Pessoa JS, Conde Álvarez R,
Bengoechea JA (2019) 2-Hydroxylation of
acinetobacter baumannii lipid a contributes to viru-
lence. Infect Immun 87(4):e00066-19. https://doi.org/
10.1128/IAI.00066-19
Beutler B (2004) Innate immunity: an overview. Mol
Immunol 40(12):845–859
Blake RD, Delcourt SG (1996) Thermodynamic effects of
formamide on DNA stability. Nucleic Acids Res
24(11):2095–2103. https://doi.org/10.1093/nar/24.11.
2095
2 Visualisation of Host–Pathogen Communication 37
Brisse S, Verhoef J (2001) Phylogenetic diversity of Kleb-
siella pneumoniae and Klebsiella oxytoca clinical
isolates revealed by randomly amplified polymorphic
DNA, gyrA and parC genes sequencing and automated
ribotyping. Int J Syst Evol Microbiol 51(3):915–924.
https://doi.org/10.1099/00207713-51-3-915
Bruchmann S, Feltwell T, Parkhill J, Short FL (2021)
Identifying virulence determinants of multidrug-
resistant Klebsiella pneumoniae in Galleria mellonella.
Pathog Dis 79(3):1–15. https://doi.org/10.1093/
femspd/ftab009
Bruins AP (1998) Mechanistic aspects of electrospray
ionization. J Chromatogr A 794:345–357. https://doi.
org/10.1016/S0021-9673(97)01110-2
Carrington M, Alter G (2012) Innate immune control of
HIV. Cold Spring Harb Perspect Med 2(7):a007070.
https://doi.org/10.1101/cshperspect.a007070
Catalán-Nájera JC, Garza-Ramos U, Barrios-Camacho H
(2017) Hypervirulence and hypermucoviscosity: two
different but complementary Klebsiella spp.
phenotypes? Virulence 8(7):1111–1123. https://doi.
org/10.1080/21505594.2017.1317412
Chauhan A, Jindal T (2020) Microbiological methods for
environment food and pharmaceutical analysis. In:
Biochemical and molecular methods for bacterial iden-
tification. Springer International Publishing, Cham, pp
425–468
Cooper MD, Alder MN (2006) The evolution of adaptive
immune systems. Cell 124(4):815–822. https://doi.org/
10.1016/j.cell.2006.02.001
Croxatto A, Prod’hom G, Greub G (2012) Applications of
MALDI-TOF mass spectrometry in clinical diagnostic
microbiology. FEMS Microbiol Rev 36:380–407.
https://doi.org/10.1111/j.1574-6976.2011.00298
Diaz G, Wolfe LM, Kruh-Garcia NA, Dobos KM (2016)
Changes in the membrane-associated proteins of
exosomes released from human macrophages after
mycobacterium tuberculosis infection. Sci Rep 6:
37975. https://doi.org/10.1038/srep37975
Dumigan A, Fitzgerald M, Santos JSG, Hamid U, O'Kane
CM, McAuley DF, Bengoechea JA (2019) A porcine
Ex Vivo lung perfusion model to investigate bacterial
pathogenesis. MBio 10(6):e02802-19. https://doi.org/
10.1128/mBio.02802-19
Ecker DJ, Massire C, Blyn LB et al (2009) Molecular
genotyping of microbes by multilocus PCR and mass
spectrometry: a new tool for hospital infection control
and public health surveillance. In: Methods in molecu-
lar biology (Clifton, N.J.). Humana, Totowa, NJ, pp
71–87
El-Aneed A, Cohen A, Banoub J (2009) Mass spectrome-
try, review of the basics: electrospray, MALDI, and
commonly used mass analyzers. Appl Spectrosc Rev
44:210–230. https://doi.org/10.1080/
05704920902717872
Eulenberg P, Köhler N, Blasi T, Filby A, Carpenter AE,
Rees P, Theis FJ, Wolf FA (2017) Reconstructing cell
cycle and disease progression using deep learning. Nat
Commun 8:463
Fang C-T, Chuang Y-P, Shun C-T, Chang S-C, Wang J-T
(2004) A novel virulence gene in Klebsiella
pneumoniae strains causing primary liver abscess and
septic metastatic complications. J Exp Med 199(5):
697–705. https://doi.org/10.1084/jem.20030857
Franco-Duarte R, ČernákováL, Kadam S et al (2019)
Advances in chemical and biological methods to iden-
tify microorganisms—from past to present.
Microorganisms 7(5):130. https://doi.org/10.3390/
microorganisms7050130
Fulwyler MJ (1965) Science 150:910–911
Getz GS (2005) Thematic review series: the immune sys-
tem and atherogenesis. bridging the innate and adap-
tive immune systems. J Lipid Res 46(4):619–622.
https://doi.org/10.1194/jlr.E500002-JLR200
Goda K, Filby A, Nitta N (2019 May) In flow cytometry,
image is everything. Cytometry A 95(5):475–477.
https://doi.org/10.1002/cyto.a.23778
Gordon DE, Jang GM, Bouhaddou M et al (2020) A
SARS-CoV-2 protein interaction map reveals targets
for drug repurposing. Nature 583:459–468. https://doi.
org/10.1038/s41586-020-2286-9
Harris H (1999) The birth of the cell. Yale University
Press, New Haven, CT
Holt KE, Wertheim H, Zadoks RN, Baker S et al (2015)
Genomic analysis of diversity, population structure,
virulence, and antimicrobial resistance in Klebsiella
pneumoniae, an urgent threat to public health. Proc
Natl Acad Sci U S A 112:E3574–E3581. https://doi.
org/10.1073/pnas.1501049112
Howat WJ, Wilson BA (2014) Tissue fixation and the
effect of molecular fixatives on downstream staining
procedures. Methods 70(1):12–19. https://doi.org/10.
1016/j.ymeth.2014.01.022
Huber D, Von Voithenberg LV, Kaigala GV (2018) Fluo-
rescence in situ hybridization (FISH): history
limitations and what to expect from micro-scale
FISH? Micro Nano Eng 1:15–24. https://doi.org/10.
1016/j.mne.2018.10.006
Ivin M, Dumigan A, de Vasconcelos FN, Ebner F,
Borroni M, Kavirayani A, Przybyszewska KN, Ingram
RJ, Lienenklaus S, Kalinke U, Stoiber D, Bengoechea
JA, Kovarik P (2017) Natural killer cell-intrinsic type I
IFN signaling controls Klebsiella pneumoniae growth
during lung infection. PLoS Pathog 13(11):e1006696.
https://doi.org/10.1371/journal.ppat.1006696
Janeway CA Jr, Travers P, Walport M (2001)
Immunobiology, 5th edn. Garland Science, New York
Karas M, Bachmann D, Hillenkamp F (1985) Influence of
the wavelength in high-irradiance ultraviolet laser
desorption mass spectrometry of organic molecules.
Anal Chem 57(14):2935–2939. https://doi.org/10.
1021/ac00291a042
Kahr B, Lovell S, Subramony JA (1998) The progress of
logwood extract. Chirality 10:66/77
Köhler G, Milstein C (1975) Continuous cultures of fused
cells secreting antibody of predefined specificity.
Nature 256(5517):495–497. https://doi.org/10.1038/
256495a0
38 A. Dumigan et al.
Kugadas A, Geddes-McAlister J, Guy E et al (2019)
Frontline science: Employing enzymatic treatment
options for management of ocular biofilm-based
infections. J Leukoc Biol 105:1099–1110. https://doi.
org/10.1002/JLB.4HI0918-364RR
Kulej K, Avgousti DC, Weitzman MD, Garcia BA (2015)
Characterization of histone post-translational
modifications during virus infection using mass
spectrometry-based proteomics. Methods 90:8–20.
https://doi.org/10.1016/j.ymeth.2015.06.008
Kurien BT, Scofield RH (2015) Western blotting: an intro-
duction. In: Western blotting. Methods and protocols.
Springer, New York, pp 17–30
Lawlor MS, Hsu J, Rick PD, Miller VL (2005) Identifica-
tion of Klebsiella pneumoniae virulence determinants
using an intranasal infection model. Mol Microbiol
58(4):1054–1073. https://doi.org/10.1111/j.1365-
2958.2005.04918.x
Lee YK, Mazmanian SK (2010) Has the microbiota played
a critical role in the evolution of the adaptive immune
system? Science (New York, N.Y.) 330(6012):
1768–1773. https://doi.org/10.1126/science.1195568
Lei C, Kobayashi H, Wu Y, Li M, Isozaki A, Yasumoto A,
Mikami H, Ito T, Nitta N, Sugimura T, Yamada M,
Yatomi Y, Di Carlo D, Ozeki Y, Goda K (2018 Jul)
High-throughput imaging flow cytometry by optofluidic
time-stretch microscopy. Nat Protoc 13(7):1603–1631.
https://doi.org/10.1038/s41596-018-0008-7
Llobet E, Martínez-Moliner V, Moranta D et al (2015)
Deciphering tissue-induced Klebsiella pneumoniae
lipid A structure. Proc Natl Acad Sci 112:E6369–
E6378. https://doi.org/10.1073/pnas.1508820112
Matute-Bello G, Downey G, Moore BB, Groshong SD,
Matthay MA, Slutsky AS, Kuebler WM, Acute Lung
Injury in Animals Study Group (2011) An official
American Thoracic Society workshop report: features
and measurements of experimental acute lung injury in
animals. Am J Respir Cell Mol Biol 44:725–738.
https://doi.org/10.1165/rcmb.2009-0210ST
McConaughy BL, Laird C, McCarthy BJ (1969) Nucleic
acid reassociation in formamide. Biochemistry
8(8):3289–3295. https://doi.org/10.1021/bi00836a024
Mellon FA (2003) Mass spectrometry | Principles and
instrumentation. In: Encyclopedia of food sciences
and nutrition. Elsevier, pp 3739–3749
Mills G, Dumigan A, Kidd T et al (2017) Identification and
characterization of two klebsiella pneumoniae lpxL
lipid A late acyltransferases and their role in virulence.
Infect Immun 85:e00068-17. https://doi.org/10.1128/
IAI.00068-17
Morris JH, Knudsen GM, Verschueren E et al (2014)
Affinity purification–mass spectrometry and network
analysis to understand protein-protein interactions. Nat
Protoc 9:2539–2554. https://doi.org/10.1038/nprot.
2014.164
Murphy K, Travers P, Walport MJ (2008) Janeway’s
immunobiology, 7th edn. Garland Science, New York
Murray CJL et al (2022) Articles global burden of bacterial
antimicrobial resistance in 2019: a systematic analysis.
Lancet 6736(21):1–27. https://doi.org/10.1016/S0140-
6736(21)02724-0
Orjalo A, Johansson HE, Ruth JL (2011) Stellaris™fluo-
rescence in situ hybridization (FISH) probes: a power-
ful tool for mRNA detection. Nat Methods 8(10):i–ii.
https://doi.org/10.1038/nmeth.f.349
Paczosa MK, Mecsas J (2016) Klebsiella pneumoniae:
going on the offense with a strong defense. Microbiol
Mol Biol Rev 80(3):629–661. https://doi.org/10.1128/
MMBR.00078-15
Petrosillo N, Taglietti F, Granata G (2019) Treatment
options for colistin resistant klebsiella pneumoniae:
present and future. J Clin Med 8(7):937. https://doi.
org/10.3390/jcm8070934
Public Health England (2020) Laboratory surveillance of
Klebsiella spp. bacteraemia in England, Wales and
Northern Ireland: 2018. Health Protection Report
14(1):1–19
R. W (1914) Rays of positive electricity and their applica-
tion to chemical analysis. Nature 92:549–550. https://
doi.org/10.1038/092549a0
Raje N, Dinakar C (2015) Overview of immunodeficiency
disorders. Immunol Allergy Clin North Am 35(4):
599–623. https://doi.org/10.1016/j.iac.2015.07.001
Rice LB (2008) Federal funding for the study of antimi-
crobial resistance in nosocomial pathogens: no
ESKAPE. J Infect Dis 197(8):1079–1081. https://doi.
org/10.1086/533452
Richardson DS, Lichtman JW (2015) Clarifying tissue
clearing. Cell 162(2):246–257. https://doi.org/10.
1016/j.cell.2015.06.067
Rodrigues C, Passet V, Rakotondrasoa A, Brisse S (2018)
Identification of klebsiella pneumoniae, klebsiella
quasipneumoniae, klebsiella variicola and related
phylogroups by MALDI-TOF mass spectrometry.
Front Microbiol 9(DEC):1–7. https://doi.org/10.3389/
fmicb.2018.03000
Rosenblueth M, Martínez L, Silva J, Martínez-Romero E
(2004) Klebsiella variicola, a novel species with clini-
cal and plant-associated isolates. Syst Appl Microbiol
27(1):27–35. https://doi.org/10.1078/0723-
2020-00261
Sauer S, Kliem M (2010) Mass spectrometry tools for the
classification and identification of bacteria. Nat Rev
Microbiol 8:74–82. https://doi.org/10.1038/
nrmicro2243
Schultz M (2008) Rudolf Virchow. Emerg Infect Dis
14(9):1480–1481. https://doi.org/10.3201/eid1409.
086672
Selkrig J, Li N, Hausmann A et al (2020) Spatiotemporal
proteomics uncovers cathepsin-dependent macrophage
cell death during Salmonellainfection. Nat Microbiol 5:
1119–1133. https://doi.org/10.1038/s41564-020-0736-7
Shapiro HM (2003) Practical flow cytometry, 4th edn.
Wiley-Liss, Hoboken, NJ
Shapiro HM (2018) Flow cytometry: the glass is half full.
Methods Mol Biol 1678:1–10. https://doi.org/10.1007/
978-1-4939-7346-0_1
Singhal N, Kumar M, Kanaujia PK, Virdi JS (2015)
MALDI-TOF mass spectrometry: an emerging tech-
nology for microbial identification and diagnosis.
Front Microbiol 6:791. https://doi.org/10.3389/fmicb.
2015.00791
2 Visualisation of Host–Pathogen Communication 39
Stanssens P, Zabeau M, Meersseman G et al (2004) High-
throughput MALDI-TOF discovery of genomic
sequence polymorphisms. Genome Res 14:126–133.
https://doi.org/10.1101/gr.1692304
Sukumaran A, Woroszchuk E, Ross T, Geddes-McAlister
J (2021) Proteomics of host–bacterial interactions: new
insights from dual perspectives. Can J Microbiol 67:
213–225. https://doi.org/10.1139/cjm-2020-0324
Titford M (2005) The long history of hematoxylin. Bio-
tech Histochem 80(2):73–78. https://doi.org/10.1080/
10520290500138372
Tomás A, Lery L, Regueiro V, Pérez-Gutiérrez C,
Martínez V, Moranta D, Llobet E, González-
Nicolau M, Insua JL, Tomas JM, Sansonetti PJ,
Tournebize R, Bengoechea JA (2015) Functional
genomic screen identifies klebsiella pneumoniae
factors implicated in blocking nuclear factor κB
(NF-κB) signaling. J Biol Chem 290(27):
16678–16697. https://doi.org/10.1074/jbc.M114.
621292
Underhill DM, Goodridge HS (2012) Information
processing during phagocytosis. Nat Rev Immunol
12(7):492–502. https://doi.org/10.1038/nri3244
Volpi EV, Bridger JM (2008) FISH glossary: an overview
of the fluorescence in situ hybridization technique.
BioTechniques 45(4):385–409. https://doi.org/10.
2144/000112811
von Waldeyer W (1863) Untersuchungen u¨ ber den
Ursprung und den Verlauf des Axsencylinders bei
Wirbellosen und Wirbelthieren sowie u¨ ber dessen
Endverhalten in der quergestreiften Muskelfaser.
Henle Pfeifer’s Z Rat Med 20:193/256
Wen L, Fan Z, Mikulski Z, Ley K (2020) Imaging of the
immune system - towards a subcellular and molecular
understanding. J Cell Sci 133(5):jcs234922. https://
doi.org/10.1242/jcs.234922
WHO (2014) Antimicrobial resistance. Bull World Health
Organ 61(3):383–394. https://doi.org/10.1007/s13312-
014-0374-3
Wyres KL, Holt KE (2016) Klebsiella pneumoniae popu-
lation genomics and antimicrobial-resistant clones.
Trends Microbiol 24(12):944–956. https://doi.org/10.
1016/j.tim.2016.09.007
Wyres KL, Lam MMC, Holt KE (2020) Population geno-
mics of Klebsiella pneumoniae. Nat Microbiol 18.
https://doi.org/10.1038/s41579-019-0315-1
Young AP, Jackson DJ, Wyeth RC (2020) A technical
review and guide to RNA fluorescence in situ
hybridization. PeerJ 8:e8806. https://doi.org/10.7717/
peerj.8806
A Review of Pathology and Analysis
of Approaches to Easing Kidney Disease
Impact: Host–Pathogen Communication
and Biomedical Visualization
Perspective
3
Advanced Microscopy and Visualization of Host-
Pathogen Communication
Kacper Pizon, Savita Hampal, Kamila Orzechowska,
and Shahid Nazir Muhammad
Abstract
Introduction: In addition to affecting the
upper respiratory tract, severe acute respiratory
syndrome-coronavirus (SARS-CoV) and
SARS-CoV-2) can target kidneys resulting in
disease impact. There is a lack of effective
treatment for SARs-CoV and SARS-CoV-2,
and so one approach could be to consider to
lower the probable risk and onset of disease
amongst immunocompromised and
immunosuppressed individuals and patients.
Angiotensin Converting Enzyme 2 (ACE2)
has a promising impact including acting
against SARs-CoV and SARS-CoV-
2 symptoms. Current literature states that
ACE2 is expressed across several physiologi-
cal systems, including the lungs,
cardiovascular, gut, kidneys, and central ner-
vous, and across endothelia. Aims: This chap-
ter seeks to investigate causes and potential
mechanisms during SARS infection (CoV-2),
renal interaction, and the effects of acute kid-
ney Injury (AKI). Objectives: This chapter
will provide an overview of microscopy and
visualization of host–pathogen communica-
tion and principles of ACE2 in the context of
immunology and impact on renal pathophysi-
ology. Design: This chapter focuses to provide
basic principles of ACE2 and the analysis and
effect of immunology and pathological
components important in relation to SARs
infection. Discussion: There has been a surge
in literature surrounding mechanisms
attributing to SARS-CoV and SARS-CoV-
2 action on immune response to pathogens.
There is an advantage to implementing ACE2
treatment to improve immune response against
infection. Conclusion: ACE2 may provide
appropriate strategies for the management of
symptoms that relate to SARS-CoV and
SARS-CoV-2 in most immunocompromised
or immunosuppressed patients. Visualization
of ACE2 action can be achieved through
microscopy to understand host–pathogen
communication.
K. Pizon · S. Hampal · K. Orzechowska
Department of Life Sciences, Coventry University,
Coventry, England, UK
The Renal Patient Support Group (RPSG), Coventry,
England, UK
S. N. Muhammad (✉)
Department of Health, and Life Sciences, Coventry
University, Coventry, England, UK
University Hospitals Bristol NHS Foundation Trust,
Bristol, England, UK
e-mail: ad9152@coventry.ac.uk
#The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
E. Abdel Meguid et al. (eds.), Biomedical Visualisation, Advances in Experimental Medicine and
Biology 1406, https://doi.org/10.1007/978-3-031-26462-7_3
41
42 K. Pizon et al.
Keywords
Nephrology · Immunology · Virology ·
Visualization · Host–pathogen · Biomedical
sciences
3.1 Introduction: Discovery
of Coronaviruses
Since December 2019, the severe acute respira-
tory syndrome Coronavirus 2 (SARS-CoV-2)
spread worldwide causing COVID, to be prob-
lematic and implicating health risks across the
globe (Gheblawi et al. 2020). Coronaviruses can
affect multiple organs in humans, including
kidneys, increasing mortality, especially in those
who are immunosuppressed and/or immunocom-
promised. Moreover, the lack of treatment has
forced biomedical and pharmaceutical industries
to investigate and develop treatments to prevent
the exaceberation of COVID-19 in the general
population (Gheblawi et al. 2020). There is a
lack of effective treatment for SARS-CoV and
the more recent SARS-CoV-2, and so one
approach could be to consider to lower probable
risk and onset of disease amongst immunocom-
promised and immunosuppressed individuals and
patients (Gheblawi et al. 2020; Guo et al.
2020a,b). The research surrounding COVID-19
has been progressive; it is important to reduce
disease mortality at the epidemiological and pop-
ulation level. However, the understanding of the
structure, and pathology of Coronaviruses, espe-
cially surrounding host–pathogen communica-
tion, and visualization, requires investigation.
3.2 Aims and Objectives
This chapter seeks to investigate the causes and
potential mechanisms of severe acute respiratory
syndrome (SARS) infection (CoV-2), renal inter-
action, and the effects of acute kidney injury
(AKI). This chapter also provides a review of
the pathology and analysis of approaches to eas-
ing kidney disease impact by exploring host–
pathogen communication, providing a biomedical
visualization perspective, and highlighting the
principles of Angiotensin Converting Enzyme
2 (ACE2) in the context of immunology and
infection to understand the impact on kidney
disease.
3.3 Biomedical Classification
Coronaviruses are more recent discoveries than
adenoviruses; both fall under the same category,
but adenoviruses have more taxonomy
investigated (Wang et al. 2020; Beyerstedt et al.
2021). The first Coronavirus strain (B814) was
discovered in 1965 by scientists Tyrrell and
Bynoe, where biomedical specimens were col-
lected from the respiratory tract of a patient with
a common cold (Mahase 2020). Thereafter,
Hamre and Procknow were then able to grow
isolated virus strains, including B814 and 229E,
which improved early biomedical visualization in
the context of extraordinary viruses (Mahase
2020).
Linked to early biomedical visualization of
common cold and COVID were isolates to virus
strains associated with avian bronchitis and mice
hepatitis; these were originally explored by
Almeida and Tyrrell in 1967 (Mahase 2020).
The same year at the National Institute of Health
in Bethesda, six additional viruses with morpho-
logical similarities were isolated and grown in
organ cultures, instead of the usual cell mono-
layer culture (Mahase 2020). In 1968, a more
in-depth investigation of viruses using electron
microscopy revealed comparable properties
between them, for example, size, lipid layer, and
the presence of surface spikes (i.e., protein),
which resemble similar structures to the Adeno-
virus (Lupala et al. 2022). Figure 3.1 provides an
overview of the progression and discovery of
novel subgroups of viruses/coronaviruses.
Based on taxonomy and pathological features,
a team of eight virologists decided to classify
them as Coronaviruses, due to their characteristic
appearance (Mahase 2020; Beyerstedt et al.
2021). Ongoing research and microscopy
advances surrounding Coronaviruses provided
greater knowledge of viral structure and function,
to discover therapeutic possibilities surrounding
unpredictable outbreaks. Advanced microscopy
and visualization are pertinent throughout scien-
tific practices and more so in exploring links to
COVID-19 virus and the pandemic (Song et al.
2019).
3 A Review of Pathology and Analysis of Approaches to Easing Kidney Disease... 43
Fig. 3.1 The progression and discovery of novel subgroup of viruses/coronaviruses. HCoV human coronavirus, MERS
middle east respiratory syndrome, SARS severe acute respiratory syndrome (Abdul-Fattah et al. 2021)
Regarding pharmaceutics, Angiotensin-
Converting Enzyme 2 (ACE2) has diverse inter-
play, as SARS-CoV-2 impounds respiratory
health and the implications prompt symptoms
that have been highlighted in the literature
relating to the COVID-19 pandemic. The
implications on health and disease have become
more obvious following the SARS outbreak in
Wuhan province, China in 2003 (Mahase 2020;
Gheblawi et al. 2020). In the next section, an
analysis of Coronaviruses in correlation with
renal health, and novel therapeutic strategies
relating to preventing cardiovascular disease
(CVD) and COVID-19 symptoms are considered.
44 K. Pizon et al.
3.4 The Renal Health
and COVID-19 Correlation
It has been highlighted that the first pandemic
caused by Coronavirus SARS-CoV occurred in
2002–2003, in Asia, wherein 8096 patients
evaluated positive for the virus and as a result,
774 deaths had been documented (Sama et al.
2020). Despite common acute respiratory failure
caused by diffuse alveolar damage, multi-organ
failure was also noticeable wherein there were
cases of severe diarrhea, hepatic failure, and
Acute Kidney Injury (AKI). It was in 2005, an
investigatory team from Hong Kong, retrospec-
tively highlighted that 536 SARS cases (6.7%)
developed AKI (Chu et al. 2005). Moreover, the
mortality amongst this group was 91.7%, which is
significantly higher than patients without any
symptoms of AKI, which is 8.8% (Chu et al.
2005).
Gheblawi et al. (2020) and Guo et al. (2020b)
also emphasized the importance of AKI in the
context of SARS and Middle East Respiratory
Coronavirus (MERS-CoV). MERS-CoV induced
two epidemics; one in 2012 surrounding
countries in the Middle East and one in 2015 in
South Korea (Gheblawi et al. 2020; Guo et al.
2020a). The MERS-CoV devastated the lives of
2562 people resulting in 881 deaths. To deter-
mine possible nephrological complications
associated with MERS-CoV, investigators from
South Korea examined 30 patients by monitoring
vital signs, bacterial culture of body fluids and
virus through polymerase chain reaction
investigations. Within a testing group, proteinuria
occurred in 40% of cases, haematuria in 63.3%
and AKI developed in 26.7% of patients, mostly
in the elderly (Gheblawi et al. 2020; Guo et al.
2020b).
The current outbreak of SARS-CoV-2, which
originated from Wuhan province, China, spread
worldwide threatening life. Within the period of
September 1, 2020, to August 31, 2021,
5,642,190 cases of COVID-19 were detected in
England, wherein 94,815 cases led to death
(UKHSA 2022). Despite being uncommon,
renal complications have been correlated to
pathophysiology detrimented by the effects of
COVID-19 infection, mainly because of AKI
(Gheblawi et al. 2020). Moreover, the risk for
individuals who are prone to renal insufficiency
to contract COVID-19 is higher, and thus
interventions have been required to preclude fur-
ther renal complications and CVD (Huang et al.
2020). The next section provides an in-depth
overview of renal health and ACE2 at the micro-
scopic level.
3.5 Renal Cells and COVID-19
Ribonucleic Acid (RNA) sequencing database
assessment had demonstrated high expression of
ACE2 and transmembrane protease serine
2 (TMPRSS2) in proximal tubular cells and
podocytes, which might indicate a higher affinity
for SARS-CoV2 (Murray et al. 2020). Micro-
scopically, the presence of ACE2 within proximal
tubular cells might indicate direct interaction with
Coronavirus, which subsequently reflects kidney
damage. However, it does not exclude the possi-
ble ischemic damage to the proximal tubular cells
from hemodynamic alterations, informing that the
knowledge surrounding direct interactions is
vague and unspecified (Yang et al. 2017; Henry
and Lippi 2020).
Immunobiology data indicate that lower
expression of ACE2 correlates with a severe
effect of disease owing to the downregulation of
ACE2, which leads to a reduced anti-
inflammatory effect (Murray et al. 2020). The
severity of the illness increases with the lower
expression of ACE2 receptors, which might
again contradict the correlation among a direct
interaction between SARS-CoV-2 and renal
cells (Yang et al. 2017; Henry and Lippi 2020).
Figure 3.2 provides an overview of ACE2 recep-
tor expression in human organs.
Several investigations present the theory of
SARS-CoV-2 tropism, which leads to viral infec-
tion of proximal tubular cells (Brake et al. 2020;
Yang et al. 2017; Henry and Lippi 2020). The
argument is based on the presence of viral
particles within urine detected from COVID-19
patients, especially within the second and third
week of infection, and when the shedding of
SARS-CoV-2 occurs (Guruprasad 2021b). How-
ever, histological examination negates the pres-
ence of active immune-mediated
glomerulonephritis due to the absence of common
indicators like electron-dense deposits and mild
proteinuria (Baral et al. 2020). Moreover, the
number of viral particles differs among several
findings due to the lack of standardized sample
collection and appropriate PCR assays conducted.
Data highlight either little or no detection, and
others present a high number of viral particles,
which leads to inconsistent data (V’kovski et al.
2021).
3 A Review of Pathology and Analysis of Approaches to Easing Kidney Disease... 45
Fig. 3.2 Provides an overview of ACE2 receptor expres-
sion in human organs. As the kidney presents a higher
level of ACE2 than the lungs, it leads to speculation of
possible direct infection of HCoV-SARS-19 within kidney
cells (Xu et al. 2020)
A novel infection route was identified for
SARS-CoV-2, which was the spike protein
attachment to transmembrane glycoprotein
CD147 (Guruprasad 2021a). As CD147 is
expressed in various cells all around the body,
including blood cells and proximal tubules of the
kidney, the possible viral entry might affect the
cell cycle, which affects inflammatory responses
and further development of several diseases
(Guruprasad 2021b). Due to the novelty of initial
data across the literature, the idea of direct infec-
tion within the renal cells is still speculative
(Murray et al. 2020; Wang et al. 2020). The
next section provides more depth surrounding
the analysis of COVID-19 in the context of tax-
onomy and genera, accordingly.
3.6 Biomedical Visualization
and Analysis of COVID-19
The Coronavirus is divided into four genera:
(1) Alpha-Coronavirus (HCoV-229E, HCoV-
NL63), (2) Beta-Coronavirus (HCoV-OC43,
HCoVHKU1, SARS-CoV, MERS-CoV,
SARS-CoV2), which originate from bats,
(3) Gamma-Coronavirus, and (4) Delta-
Coronavirus can be transmitted from types
of birds and swine gene pools (Dhama et al.
2021). A SARS-CoV-2 virion contains an unseg-
mented, single-stranded, positive-sense RNA
genome of around 30 kb, which encodes crucial
viral protein used to create progeny viruses and
the four essential structural proteins, called mem-
brane (M), envelope (E), nucleocapsid (N), and
spike (S) (V’kovski et al. 2021). As far as air-
borne viruses are concerned, SARS-CoV-2 is
transmitted between humans due to the entering
of viral particles into the upper respiratory tract
(Dhama et al. 2021). The viral entry occurs by the
binding of the spike glycoproteins, which are
homotrimers present on the surface of the Coro-
navirus to the ACE2 receptor (Guruprasad
2021a).
46 K. Pizon et al.
The spike proteins are cleaved by host
proteases into subunits: S1 subunit for receptor
binding and S2 subunit for membrane fusion
(Guruprasad 2021b). Microscopically, the
infected cells are forced to translate the proteins
required for generating the virus’s progeny
(Mehrbod et al. 2021). The next section provides
context surrounding the renin–angiotensin–aldo-
sterone system (RAAS) pathway and the role of
ACE2 during COVID-19.
3.7 The Cytokine Storm
Perspective
and Understanding Renin–
Angiotensin–Aldosterone
System (RAAS) Pathway
and Role of ACE2 During
COVID-19
The RAAS is a multi-hormonal regulator of blood
volume and systemic vascular resistance.
Angiotensinogen is cleaved by renin forming
inactive decapeptide Angiotensin I (Ang I),
which is next converted by angiotensin-
converting enzyme (ACE) into active octapeptide
Angiotensin II (Ang II). The binding of Ang II
with adequate angiotensin receptor (AT1 or AT2)
leads to hypertension, inflammation, and multi-
organ failure (Beyerstedt et al. 2021). Works by
Gheblawi et al. (2020), Guo et al. (2020a)
highlight common and potent antiviral drugs,
however, before these, ACE2 had been available
to prompt blood flow between renal afferent and
efferent arterioles, thus oxygenating cells
throughout general physiology.
ACE2 performs a more protective role by
degrading Ang II to active peptide, Ang 1–7
through cleavage of the carboxy-terminal phenyl-
alanine in Ang II (Povlsen et al. 2020). Products
of ACE2 action binds with Mitochondrial Assem-
bly Protein-1 (MAP-1) receptor leading to vaso-
dilation, vaso-protection, and cardio-protection,
showing regulatory roles of both receptors
(Povlsen et al. 2020). However, ACE2 receptors
are inhibited during SARS-CoV-2, which
downregulates protective action and leads to
severe development of COVID-19 by hypercoa-
gulation and microangiopathy. The infected cells
are forced to translate proteins required for
generating the virus’s progeny, which also
provokes immune action (Povlsen et al. 2020;
Lupala et al. 2022) (Fig. 3.3).
Innate immune cells and macrophages are
involved to present viral antigens to T-Helper
(TH) cells, which release interleukin-12 to trigger
the TH1 cells (Povlsen et al. 2020). Subsequently,
TH1 stimulate B cells to produce antigen-specific
antibodies and T-Killer cells (CD8+ and TK) to
target cells containing viral antigen (Gheblawi
et al. 2020). Using the Nuclear Factor kappa-
light-chain-enhancer of activated B cells
(NF-kB) signaling pathway, Pro-T-cell activate
inflammatory cytokine production, secreting che-
mokine, and cytokines such as IL-8, TNF-α, IL-6,
IL-1β, CCL-2 (C-C Motif Chemokine Ligand 2),
-3, -5 (Sama et al. 2020; Song et al. 2019;
UKHSA 2022).
Accumulation of immune proteins creates a
cytokine storm, which leads to tissue damage,
resulting in multi-organ failure and death
(Gheblawi et al. 2020; Wang et al. 2020). The
limitations related to post-mortem examinations
of renal cells demonstrate evidence of AKI
(Gheblawi et al. 2020; Guo et al. 2020a,b). At
the same time, early COVID-19 cases have
presented involvement, mainly IL-6 which,
induces renal endothelial cells to prompt
pro-inflammatory cytokines (Gheblawi et al.
2020; Guo et al. 2020a,b; Wang et al. 2020).
3 A Review of Pathology and Analysis of Approaches to Easing Kidney Disease... 47
Fig. 3.3 The visualization of molecular action
undergoing differentiation during COVID-19 Infection.
HCoV-SARS binds to ACE2, which not only leads to its
entry but also irregular balance between Ang molecules,
resulting in the severity of the disease. ACE2 is also
pharmacologically related to Angiotensin Receptor
Blockers (ARBs), ARBs are inhibitors that dilate blood
vessels to treat conditions such as hypertension. Permis-
sion to use figure sought from Guo et al. (2020a)
Additionally, sepsis may be a factor in
COVID-19 patients, due to general physiology
being impacted. Within damaged organs, endo-
toxin overload leads to septic shock, which
induces AKI and renal damage (Henry and
Lippi 2020). Works by Beyerstedt et al. (2021),
Gheblawi et al. (2020), Guo et al. (2020a), Wang
et al. (2020) go into more microscopic detail
regarding ACE1/ACE2 gene polymorphism.
The next section provides more depth
surrounding immunobiology and the complement
system. The next section will consider
immunobiology and the complement system.
3.8 Immunobiology and The
Complement System
Upon recognition of SARS-CoV-2, complement
system becomes active and promotes pathogen
response via lectins and the alternative pathway.
The numerous anaphylatoxins, like C3a and C5a,
bind to specific receptors, leading to stimulation
of histamine, leukotrienes, and prostaglandins,
which results in flushing, hypoxia, vasodilation,
and hypotension (Murray et al. 2020). Addition-
ally, an activated alternative pathway generates
C5b-9 in tubules apical brush border as a
response to the virus, leading to over-
accumulation and tubulointerstitial damage
(Henry and Lippi 2020).
The disruption of lymphocytes and role in the
maintenance of immune hemostasis leads to
lymphopenia, which has been observed in
patients with severe COVID-19 symptoms. As
those cells contain ACE2 receptors, SARS-CoV-
2 might target them, reducing the number of
CD4+ and CD8+ T Cells. This results in unequal
distribution of immune response, hyperactivation
of the innate immune system and a long process
of terminating the virus (Murray et al. 2020).
Another factor of lymphopenia might be induced
inflammatory responses, which prompts lympho-
cyte apoptosis, leading to lymphocyte ratio dis-
proportion (Beyerstedt et al. 2021). Through
analyses, patients with severe COVID-19 have
expressed injury around the spleen and lymph
nodes, which suggests that the virus can damage
lymphatic organs reducing contribution to
immune hemostasis (Mahase 2020).
48 K. Pizon et al.
There may be some overlap between immune
responses, after the detection of a foreign patho-
gen, facilitating hypercoagulability. Initially,
circulating pro-inflammatory chemicals activate
blood monocytes (Chowell et al. 2015). Endothe-
lial cells are activated by cytokines and virus
particles, which create adhesion molecules and
monocyte chemo-attractants, leading to the
recruitment of activated monocytes to endothelial
cells (Beyerstedt et al. 2021). Endothelial cells
also use neutrophils, which conduct coagulation
contact pathway, by realizing neutrophil extracel-
lular traps, which activate platelets. Additionally,
tissue factors might be exposed due to any endo-
thelial damage. The blood viscosity increases as
levels of oxygen decrease due to hypoxia induced
by COVID-19 leading to the stimulation of
thrombosis (Baral et al. 2020). Figure 3.4
provides an overview of the complement system’s
possible contribution to inflammatory response in
severe COVID-19.
Thrombosis laboratory indexes like partial
thromboplastin time, prothrombin time, and inter-
national normalized ratio are elevated, and
D-dimer, which correlates with high mortality
rate in COVID-19 patients (Yang et al. 2017).
Additionally, peripheral blood smears express
low fibrinogen levels and thrombocytopenia
with schistocytes under morphology. Several
factors may prompt microthrombi and
microangiopathy, which elevate the risk of
micro-infarctions across cardiovascular,
respiratory, and renal physiological systems
inducing irreversible damage where COVID-19
symptoms are present (Yang et al. 2017).
Understanding rhabdomyolysis is also impor-
tant because it is caused by muscle breakdown
arising from numerous factors, such as overexer-
tion, trauma, toxic substances, or healthcare
complications over time. Autopsy data of
COVID-19 patients present acute proximal tubu-
lar damage and glomerular fibrin thrombi with
ischaemic collapse (Henry and Lippi 2020).
There are several theories suggesting viral-
induced rhabdomyolysis. It might be induced by
a cytokine storm damaging muscles, circulating
toxins, muscle degeneration, or direct virus inva-
sion. Due to the novelty of COVID-19, there is
little transparency between a correlation
surrounding rhabdomyolysis and AKI in symp-
tomatic COVID-19 patients (Yang et al. 2017;
Henry and Lippi 2020). The next section provides
an overview of organ crosstalk and biomedical
communication.
3.9 Organ Crosstalk
and Biomedical
Communication
Linked to COVID-19 is acute respiratory distress
syndrome (ARDS). ARDS are life-threatening
disorders wherein the lungs cannot take in oxygen
for the body to maintain physiologically, leading
to incapacities surrounding crosstalk between
respiratory, cardiovascular, and renal systems
(Povlsen et al. 2020; Park and Faubel 2021). As
the COVID-19 pathology shares similar
symptoms to ARDS, and within both groups of
patients where AKI has been detected, it is
postulated that AKI develops from organ
crosstalk between the lung–kidney axis (Murray
et al. 2020).
Several factors, including an inflammatory/
immune response and the secretion of circulating
compounds, can interact with kidney cells and
cause harm to ARDS patients. The reduction of
oxygen transport within organs also contributes to
the development of AKI (Park and Faubel 2021).
A study in 2019 showed, that 70% of patients
with healthy kidneys and ARDS developed AKI,
confirming lung involvement in the development
of AKI, and suggesting comparable results for
COVID-19 infection (Park and Faubel 2021).
50 K. Pizon et al.
3.10 Current Treatments
and COVID-19
3.10.1 Reduction of Accessibility
of SARS-CoV2 to ACE2
Receptors
The severity of COVID-19 has led to an increased
focus on developing appropriate treatment against
SARS-CoV-2 to decrease the impact of the pan-
demic and protect the most vulnerable patients
(Florindo et al. 2020). The main aims of treatment
focus on blocking the virus from attaching itself
to the ACE2 receptor, which would stop the viral
entry (Ni et al. 2020). Knowledge about
receptors, action, and the reaction of each sub-
stance within the cells during SARS-COV-
2 infection would contribute to the development
of appropriate COVID-19 treatment (Ni et al.
2020).
One way to block the spread of SARS-COV-
2 is to introduce genetically modified ACE2,
called Human Recombinant Soluble (HRS)
ACE2, which would reduce the number of viral
attachments to the actual cells. The drug APN01
contains HRS ACE2 and is currently in Phase II
trial testing for lung disease (Abd El-Aziz et al.
2020). Previously, Arbidol 20 has been used in
treatment against influenza virus, which impairs
viral entry (Li et al. 2021). It works as a virus-host
cell fusion inhibitor and due to its broad-spectrum
antiviral application is currently clinically tested
against SARS-CoV-2 (Li et al. 2021).
A similar effect can be observed with the use
of a soluble form of ACE2 (Krishnamurthy et al.
2021). Soluble ACE2 is naturally found within
plasma (Yeung et al. 2021). Increasing its con-
centration in plasma would promote the attach-
ment of SARS-CoV-2, reducing the number of
pathogens entering the cells (Beyerstedt et al.
2021). This approach not only reduces severity
of disease but also preserves tissue ACE2 (Yeung
et al. 2021).
3.11 Anti-Virals on COVID-19
Antivirals, which are used for different viral
infections, are currently being tested for SARS-
Cov-19. As some of them have a broad range
application, this also allows them to be
investigated in suppressing the infection. Some
Antivirals include:
3.11.1 Lopinavir
After the SARS-CoV epidemic, the drug
Lopinavir was approved as an effective antiviral
due to its ability to inhibit viral action in in-vitro
environments (Tripathy et al. 2020). Lopinavir is
a protease inhibitor, which blocks protease’s
action, preventing the virus from creating prog-
eny within the cell. Originally, this treatment was
dedicated to HIV patients but due to a positive
decrease in mortality among patients with SARS-
CoV, it has been suggested that it might have
potential against SARS-CoV2 as well. Unfortu-
nately, there is no significant decrease in the
mortality of COVID-19 patients (Yeung et al.
2021).
3.11.2 Hydroxychloroquine
Hydroxychloroquine is treatment with a safe pro-
file used for several ailments, mainly malaria and
due to anti-inflammatory properties for rheumatic
diseases (Ben-Zvi et al. 2011). This pharmaco-
therapy affects viral entry by changing the pH of
the vesicle, resulting in inhibition of several
enzymes, and finally disabling endocytosis, if it
is pH-dependent (Sinha and Balayla 2022). Addi-
tionally, glycosyltransferases are inhibited as
well, stopping post-translational modifications of
several viruses (Tripathy et al. 2020). Lack of
viral replication would lead to reduced immune
response, which would reduce the activation of
cytokine storm, and side effects of its action
(Ye et al. 2020).
3 A Review of Pathology and Analysis of Approaches to Easing Kidney Disease... 51
Theoretically, Hydroxychloroquine should be
an essential treatment for COVID-19 disease.
However, the examination of COVID-19 patients
treated with hydroxychloroquine leads to incon-
sistent data showing both a significant decrease in
mortality among COVID-19 patients and little
effect in reducing mortality (Geleris et al. 2020).
Additionally, hydroxychloroquine is associated
with QT prolongation, which might cause
arrhythmia, so it is not an ideal treatment for a
patient who is taking other treatments for chronic
diseases, such as chronic kidney disease (CKD)
(Hooks et al. 2020).
3.11.3 Favipiravir
In China, a drug called Favipiravir is currently
used to treat severe influenza (Shiraki and
Daikoku 2020). It inhibits the action of the RNA
polymerase enzyme, which disables transcription
of the viral genome. This results in the prevention
of translating essential viral proteins
(Hassanipour et al. 2021). Preliminary data
obtained from the examination of Favipiravir
among patients with COVID-19 provided a
promising solution for the current pandemic
(Hassanipour et al. 2021). However, a review of
over 2700 studies concluded that there was no
evidence of reduced mortality among patients
with COVID-19 (Özlüşen et al. 2021).
3.11.4 Remdesivir
Remdesivir, developed by Gilead Sciences, was
developed to treat RNA-based viruses, which are
most likely to induce a global pandemic, such as
the Ebola virus, MERS, and SARS (Eastman
et al. 2020). The activity against SARS and
MERS led to suggest Remdesivir as a potential
candidate for COVID-19 due to the similarity
between those viruses (Eastman et al. 2020). It
is a mutagenic nucleoside, which terminates
pre-mature viral RNA (Snell 2001).
Within the presence of Remdesivir, a poliovi-
rus was constantly mutating to create a defence
mechanism against it (Crotty et al. 2001). Contin-
ually, the virus exposure to a high concentration
of Remdesivir can lead to a 9.7-fold increase in
mutations, which results in a genetic error of the
virus and its infectivity reduced by 99.3% (Crotty
et al. 2001).
Additionally, Remdesivir affects the DNA
synthesis process by reducing the reactive
hydroxyl group at the end chain terminators
(Mitsuya et al. 1990). Figure 3.5 provides an
overview of current treatments and COVID-19,
and Fig. 3.6 provides a specific overview
surrounding the inhibition of viral genome repli-
cation by Remdesivir.
Preliminary data presented informs that
patients treated with Remdesivir recover quicker
than those treated with a placebo (Beigel et al.
2020). It was also observed that Remdesivir
improved patients’well-being during the infec-
tion comparing them to a group treated with a
placebo (Beigel et al. 2020). Thanks to those
results, the Food and Drug Administration
(FDA) permitted the use of Remdesivir against
COVID-19. Despite positive outcomes of
Remdesivir usage, the mortality among patients
treated with it is still high, and the drug alone is
Fig. 3.5 An overview of Current Treatments and
COVID-19. The standard mode of action, in which
SARS-CoV-2 attaches to the membrane’s ACE2 and
enters the cell is presented on left. In the presence of
soluble ACE2, SARS-CoV-2 attaches to those units,
resulting in no membrane fusion (Kuba et al. 2021)
not sufficient in curing COVID-19 disease
(Beigel et al. 2020).
52 K. Pizon et al.
Fig. 3.6 Inhibition of viral genome replication by Remdesivir (Al-Tannak et al. 2020)
3.12 Anti-Inflammatory Agents
on COVID-19 Recipient
As mentioned before, many factors might induce
organ dysfunction syndrome. Circulating cytoki-
nesis storm, which might be induced by
superimposed septic syndrome or directly by a
virus, causes severe damage to the body (Beigel
et al. 2020). To ease organ damage, the usage of
anti-inflammatory drugs was suggested to ame-
liorate COVID-19 infections (Beigel et al. 2020).
3.12.1 Steroids
During the SARS-CoV outbreak in 2002–2003,
the use of steroids was restricted due to the lack of
beneficial results, and possibly harmful side
effects like delayed viral clearance, avascular
necrosis, diabetes, and psychosis (Russell et al.
2020). Corticosteroids were observed to increase
mortality among SARS patients, which indicates
the danger of using steroids to ease COVID-19
symptoms (Russell et al. 2020).
3.12.2 JAK-STAT Inhibitors
The JAK/STAT signaling pathway is present
within various cells and has been associated
with various roles in immune responses like
IL-2, IL-4, IL-6, IL-12 signaling, TH (T-Helper)
1, TH2, Treg cell and Th9, Th 17 cell differentia-
tion, the proliferation of viral selective CD8+ T
cells and B cell lymphoma (Satarker et al. 2020).
The presence of cytokine storm is essential for
dealing with a viral infection, however as men-
tioned before, cytokine overload might induce
organ damage or severe conditions like ARDS
(Luo et al. 2020). A solution has been suggested
that JAK-STAT inhibitors might decrease the
level of the pro-inflammatory cytokine, resulting
in general improvement of health among COVID-
19 patients (Luo et al. 2021). However, a lack of
an appropriate titer of cytokines might lead to
compromised immune responses and prolifera-
tion of SARS-CoV-2. Currently, studies of
JAK-STAT inhibitor medication called
Baricitinib, provide promising data, showing a
reduction in the number of deaths among
COVID-19 patients (Mahase 2022).
3 A Review of Pathology and Analysis of Approaches to Easing Kidney Disease... 53
While it is known that COVID-19 impacts
renal function, leading to increased mortality,
cytokine response of renal epithelium has not
been studied in detail. One team reported on the
genetic programs that activate human primary
proximal tubule (HPPT) cells by interferons and
suppression by Ruxolitinib, a Janus kinase (JAK)
inhibitor used in COVID-19 treatment
(Jankowski et al. 2021). Integration of future
research linked to AKI and COVID-19, as well
as other tissues, permit the avenue of kidney-
specific interferon responses. Additionally, new
drugs such as Ruxolitinib (dACE2) are being
trialed; recently discovered isoform (dACE2)
informs that initial data show promising results
linked to HPPT cells of the kidneys aligned to
ACE2, the SARS-CoV-2 receptor (Jankowski
et al. 2021).
3.12.3 Mesenchymal Stem Cell
Therapy
Cell-based therapy, particularly stem cell therapy,
has emerged as a potential therapeutic, with many
seeing prospects to heal incurable illnesses
(Lopes-Pacheco et al. 2019). The research
surrounding stem cells continues to generate
intrigue due to the potential including a high
proliferation rate, low invasive procedure, and
are free of ethical issues (Turner et al. 2021).
Among COVID-19 patients, stem cells focus on
modifying immune cell function, immune
responses and reducing inflammation-induced
lung injury (Golchin et al. 2019). Those stem
cells also produce growth factors, which promote
cell proliferation and prevent apoptosis (Adas
et al. 2021). Figure 3.7 provides an overview
surrounding visualization and mode of action
during mesenchymal stem cell therapy in
COVID-19 patients.
The decrease in mortality has been observed in
several studies, which focused on the usage of
Mesenchymal Stromal (stem) Cell (MSC) therapy
among COVID-19 patients (Metcalfe 2022).
Additionally, mesenchymal stem cells
significantly shorten the time to clinical symptom
improvement in COVID-19 patients (Lanzoni
et al. 2021). Several clinical trials have shown
that MSCs are effective and safe for the treatment
of COVID-19 patients, particularly critically ill
patients, reducing clinical symptoms, hospital
stay, cytokine release, and mortality (Zumla
et al. 2020).
3.13 Conclusion
There has been a surge in the literature
surrounding mechanisms attributing to SARS-
CoV and SARS-CoV-2 action on the immune
response to a pathogen. SARS-CoV-2 patients
present an increased level of blood coagulation
factors and blood clotting complexities; the main
mediators include thrombin, tissue factor, and
fibrinogen (Beyerstedt et al. 2021). SARS-CoV-
2 infection impairs the function of vascular endo-
thelial function, resulting in increased production
of thrombin and reduced fibrinolysin, which
impacts clotting ability (Gheblawi et al. 2020).
While it is known that COVID-19 impacts kidney
function, leading to increased mortality, research
surrounding interrogation of cytokine response
on renal epithelium has not been substantiated.
3.14 Summary
There is an advantage to implementing ACE2
treatment to improve immune response against
infection; ACE2 may also offer appropriate
strategies for the management of symptoms that
relate to SARS-CoV and SARS-CoV-2 in most
immunocompromised or immunosuppressed
patients (Murray et al. 2020). However, what is
still not known is whether ACE2 should be
assigned at a population level to totally prevent
COVID-19 symptoms. That notwithstanding,
advances in laboratory practice, allow the imple-
mentation of pathology assays and techniques
including microscopy advances for visualization
and analysis to understand host–pathogen com-
munication to preclude kidney disease impact
(Gheblawi et al. 2020; Beyerstedt et al. 2021).
54 K. Pizon et al.
Fig. 3.7 Overview surrounding visualization and mode of action during mesenchymal stem cell therapy in COVID-19
patients (Câmara et al. 2021)
References
Abd El-Aziz T, Al-Sabi A, Stockand J (2020) Human
recombinant soluble ACE2 (hrsACE2) shows promise
for treating severe COVID19. Signal Transducti Target
Ther. Available at https://www.nature.com/articles/
s41392-020-00374-6.pdf. Accessed April 2022
Abdul-Fattah S, Pal A, Kaka N, Kakodkar P (2021) His-
tory and recent advances in coronavirus discovery.
Methods Pharmacol Toxicol. doi: https://doi.org/10.
1007/7653_2020_47. Accessed March 2022
Adas G, Cukurova Z, Yasar K, Yilmaz R, Isiksacan N,
Kasapoglu P, Yesilbag Z, Koyuncu I, Karaoz E (2021)
The systematic effect of mesenchymal stem cell ther-
apy in critical COVID-19 patients: a prospective dou-
ble controlled trial. Cell Transplant. https://doi.org/10.
1177/09636897211024942. Accessed April 2022
Al-Tannak N, Novotny L, Alhunayan A (2020)
Remdesivir—bringing hope for COVID-19 treatment.
Sci Pharm 88(2):29. Accessed April 2022
Baral R, White M, Vassiliou VS (2020) Effect of renin-
angiotensin-aldosterone system inhibitors in patients
with COVID-19: a systematic review and meta-
analysis of 28,872 patients. Curr Atheroscler Rep
22(10):61
Beigel J, Tomashek K, Dodd L, Mehta A, Zingman B,
Kalil A, Hohmann E, Chu H, Luetkemeyer A, Kline S,
Lopez de Castilla D, Finberg R, Dierberg K, Tapson V,
Hsieh L, Patterson T, Paredes R, Sweeney D, Short W,
Touloumi G, Lye D, Ohmagari N, Oh M, Ruiz-
Palacios G, Benfield T, Fätkenheuer G, Kortepeter M,
Atmar R, Creech C, Lundgren J, Babiker A, Pett S,
Neaton J, Burgess T, Bonnett T, Green M,
Makowski M, Osinusi A, Nayak S, Lane H (2020)
Remdesivir for the treatment of Covid-19 –final
report. N Engl J Med:1813–1826. Accessed April 2022
Ben-Zvi I, Kivity S, Langevitz P, Shoenfeld Y (2011)
Hydroxychloroquine: from malaria to autoimmunity.
Clin Rev Allergy Immunol 42(2):145–153. https://doi.
org/10.1007/s12016-010-8243-x. Accessed April 2022
Beyerstedt S, Casaro EB, Rangel ÉB (2021) COVID-19:
angiotensin-converting enzyme 2 (ACE2) expression
and tissue susceptibility to SARS-CoV-2 infection. Eur
J Clin Microbiol Infect Dis 40(5):905–919
Brake SJ, Barnsley K, Lu W, McAlinden KD, Eapen MS,
Sohal SS (2020) Smoking upregulates angiotensin-
converting enzyme-2 receptor: a potential adhesion
site for novel coronavirus SARS-CoV-2 (COVID-19).
J Clin Med 9:841
Câmara D, Porcacchia A, Lizier N, De-Sá-Júnior P (2021)
A COVID-19 overview and potential applications of
cell therapy. Biologics 1(2):177–188. Accessed
May 2022
Chowell G, Abdirizak F, Lee S, Lee J, Jung E, Nishiura H
et al (2015) Transmission characteristics of MERS and
SARS in the healthcare setting: a comparative study.
BMC Med 13:210
3 A Review of Pathology and Analysis of Approaches to Easing Kidney Disease... 55
Chu KH, Tsang WK, Tang CS, Lam MF, Lai FM, To KF,
Fung KS, Tang HL, Yan WW, Chan HW, Lai TS,
Tong KL, Lai KN (2005) Acute renal impairment in
coronavirus-associated severe acute respiratory syn-
drome. Kidney Int 67(2):698–705
Crotty S, Cameron C, Andino R (2001) RNA virus error
catastrophe: direct molecular test by using ribavirin.
Proc Natl Acad Sci U S A 98(12):6895–6900.
Accessed April 2022
Dhama K, Sharun K, Tiwari R, Dhawan M, Emran TB,
Rabaan AA, Alhumaid S (2021) COVID-19 vaccine
hesitancy - reasons and solutions to achieve a success-
ful global vaccination campaign to tackle the ongoing
pandemic. Hum Vaccin Immunother
Eastman R, Roth J, Brimacombe K, Simeonov A, Shen M,
Patnaik S, Hall M (2020) Remdesivir: a review of its
discovery and development leading to emergency use
authorization for treatment of COVID-19. ACS Central
Sci 6(5):672–683. Accessed April 2022
Florindo H, Kleiner R, Vaskovich-Koubi D, Acúrcio R,
Carreira B, Yeini E, Tiram G, Liubomirski Y, Satchi-
Fainaro R (2020) Immune-mediated approaches
against COVID-19. Nat Nanotechnol 15(8):630–645
Geleris J, Sun Y, Platt J, Zucker J, Baldwin M,
Hripcsak G, Labella A, Manson D, Kubin C, Barr R,
Sobieszczyk M, Schluger N (2020) Observational
study of hydroxychloroquine in hospitalized patients
with Covid-19. N Engl J Med 382(25):2411–2418.
https://doi.org/10.1056/nejmoa2012410. Accessed
April 2022
Gheblawi M, Wang K, Viveiros A, Nguyen Q, Zhong JC,
Turner AJ, Raizada MK, Grant MB, Oudit GY (2020)
Angiotensin-converting enzyme 2: SARS-CoV-
2 receptor and regulator of the renin-angiotensin sys-
tem: celebrating the 20th anniversary of the discovery
of ACE2. Circ Res 126(10):1456–1474
Golchin A, Farahany T, Khojasteh A, Soleimanifar F,
Ardeshirylajimi A (2019) The clinical trials of mesen-
chymal stem cell therapy in skin diseases: an update
and concise review. Curr Stem Cell Res Therapy 14(1):
22–33. Accessed April 2022
Guo J, Huang Z, Lin L, Lv J (2020a) Coronavirus disease
2019 (COVID-19) and cardiovascular disease: a view-
point on the potential influence of angiotensin-
converting enzyme inhibitors/angiotensin receptor
blockers on onset and severity of severe acute respira-
tory syndrome coronavirus 2 infection. J Am Heart
Assoc 9(7):e016219
Guo YR, Cao QD, Hong ZS, Tan YY, Chen SD, Jin HJ,
Tan KS, Wang DY, Yan Y (2020b) The origin, trans-
mission, and clinical therapies on coronavirus disease
2019 (COVID-19) outbreak - an update on the status.
Mil Med Res 7(1):11
Guruprasad L (2021a) Human coronavirus spike protein-
host receptor recognition. Prog Biophys Mol Biol 161:
39–53
Guruprasad L (2021b) Human SARS CoV-2 spike protein
mutations. Proteins 89(5):569–576
Hassanipour S, Arab-Zozani M, Amani B, Heidarzad F,
Fathalipour M, Martinez-de-Hoyo R (2021) The effi-
cacy and safety of Favipiravir in treatment of COVID-
19: a systematic review and meta-analysis of clinical
trials. Sci Rep 11(1):11022. Accessed April 2022
Henry BM, Lippi G (2020) Chronic kidney disease is
associated with severe coronavirus disease 2019
(COVID-19) infection. Int Urol Nephrol 52:1193–
1194
Hooks M, Bart B, Vardeny O, Westanmo A, Adabag S
(2020) Effects of hydroxychloroquine treatment on QT
interval. Heart Rhythm 17(11):1930–1935. Accessed
April 2022
Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y et al (2020)
Clinical features of patients infected with 2019 novel
coronavirus in Wuhan, China. Lancet 395(10223):
497–506
Jankowski J, Lee HK, Wilflingseder J, Hennighausen L
(2021) JAK inhibitors dampen activation of interferon-
activated transcriptomes and the SARS-CoV-2 receptor
ACE2 in human renal proximal tubules. iScience
24(8):102928
Krishnamurthy S, Lockey R, Kolliputi N (2021) Soluble
ACE2 as a potential therapy for COVID-19. Am J Phys
Cell Phys 320(3):C279–C281
Kuba K, Yamaguchi T, Penninger J (2021) Angiotensin-
converting enzyme 2 (ACE2) in the pathogenesis of
ARDS in COVID-19. Front Immunol 12:732690.
Accessed April 2022
Lanzoni G, Linetsky E, Correa D, Messinger Cayetano S,
Alvarez R, Kouroupis D, Alvarez Gil A, Poggioli R,
Ruiz P, Marttos A, Hirani K, Bell C, Kusack H,
Rafkin L, Baidal D, Pastewski A, Gawri K,
Leñero C, Mantero A, Metalonis S, Wang X,
Roque L, Masters B, Kenyon N, Ginzburg E, Xu X,
Tan J, Caplan A, Glassberg M, Alejandro R, Ricordi C
(2021) Umbilical cord mesenchymal stem cells for
COVID-19 acute respiratory distress syndrome: A
double-blind, phase 1/2a, randomized controlled trial.
Stem Cells Transl Med 10(5):660–673. Accessed
April 2022
Li M, Yu T, Zhu J, Wang Y, Yang Y, Zhao K, Yi Y, He J,
Li C, He J (2021) Comparison of the antiviral effect of
arbidol and chloroquine in treating COVID-19. Ann
Palliat Med 10(3):3307–3312
Lopes-Pacheco M, Robba C, Rocco P, Pelosi P (2019)
Current understanding of the therapeutic benefits of
mesenchymal stem cells in acute respiratory distress
syndrome. Cell Biol Toxicol 36(1):83–102. Accessed
April 2022
Luo W, Li Y, Jiang L, Chen Q, Wang T, Ye D (2020)
Targeting JAK-STAT signaling to control cytokine
release syndrome in COVID-19. Trends Pharmacol
Sci 41(8):531–543. Accessed April 2022
Luo J, Lu S, Yu M, Zhu L, Zhu C, Li C, Fang J, Zhu X,
Wang X (2021) The potential involvement of
JAK-STAT signalling pathway in the COVID-19
infection assisted by ACE2. Gene 768:145325.
Accessed April 2022
56 K. Pizon et al.
Lupala CS, Ye Y, Chen H, Su XD, Liu H (2022)
Mutations on RBD of SARS-CoV-2 Omicron variant
result in stronger binding to human ACE2 receptor.
Biochem Biophys Res Commun 29(590):34–41
Mahase E (2020) Covid-19: Coronavirus was first
described in The BMJ in 1965. BMJ 369:m1547
Mahase E (2022) Covid-19: anti-inflammatory treatment
baricitinib reduces deaths in patients admitted to hos-
pital, finds trial. BMJ 376:o573. Accessed April 2022
Mehrbod P, Eybpoosh S, Farahmand B, Fotouhi F,
Khanzadeh Alishahi M (2021) Association of the host
genetic factors, hypercholesterolemia, and diabetes
with mild influenza in an Iranian population. Virol J
18(1):64
Metcalfe S (2022) Mesenchymal stem cells and manage-
ment of COVID-19 pneumonia. Medicine in Drug
Discovery, [online] 5, p. 100019. Available at https://
pubmed.ncbi.nlm.nih.gov/32296777/. Accessed April
2022
Mitsuya H, Yarchoan R, Broder S (1990) Molecular
targets for AIDS therapy. Science 249(4976):
1533–1544. Accessed April 2022
Murray E, Tomaszewski M, Guzik TJ (2020) Binding of
SARS-CoV-2 and angiotensin-converting enzyme 2:
clinical implications. Cardiovasc Res 116:e87–e89
Ni W, Yang X, Yang D, Bao J, Li R, Xiao Y, Hou C,
Wang H, Liu J, Yang D, Xu Y, Cao Z, Gao Z (2020)
Role of angiotensin-converting enzyme 2 (ACE2) in
COVID-19. Crit Care 24(1):422
Özlüşen B, Kozan Ş, Akcan R, Kalender M, Yaprak D,
Peltek İ, Keske Ş, Gönen M, Ergönül Ö (2021) Effec-
tiveness of favipiravir in COVID-19: a live systematic
review. Eur J Clin Microbiol Infect Dis 40(12):
2575–2583. Accessed April 2022
Park BD, Faubel S (2021) Acute kidney injury and acute
respiratory distress syndrome. Crit Care Clin 37(4):
835–849
Povlsen AL, Grimm D, Wehland M, Infanger M, Krüger
M (2020) The vasoactive mas receptor in essential
hypertension. J Clin Med 9(1):267
Risitano A, Mastellos D, Huber-Lang M, Yancopoulou D,
Garlanda C, Ciceri F, Lambris J (2020) Complement as
a target in COVID-19? Nat Rev Immunol 20(6):
343–344
Russell C, Millar J, Baillie J (2020) Clinical evidence does
not support corticosteroid treatment for 2019-nCoV
lung injury. The Lancet 395(10223):473–475.
Accessed April 2022
Sama IE, Ravera A, Santema BT, van Goor H, ter Maaten
JM, Cleland JGF, Rienstra M, Friedrich AW, Samani
NJ, Ng LL, Dickstein K, Lang CC, Filippatos G, Anker
SD, Ponikowski P, Metra M, van Veldhuisen DJ,
Voors AA (2020) Circulating plasma concentrations
of angiotensin-converting enzyme 2 in men and
women with heart failure and effects of renin–
angiotensin–aldosterone inhibitors. Eur Heart J 41:
1810–1817
Satarker S, Tom A, Shaji R, Alosious A, Luvis M,
Nampoothiri M (2020) JAK-STAT pathway inhibition
and their implications in COVID-19 therapy. Postgrad
Med 133(5):489–507. Accessed April 2022
Shiraki K, Daikoku T (2020) Favipiravir, an anti-influenza
drug against life-threatening RNA virus infections.
Pharmacol Ther 209:107512. Accessed April 2022
Sinha N, Balayla G (2022) Hydroxychloroquine and
COVID-19. [online]. Available at https://pmj.bmj.
com/content/postgradmedj/96/1139/550.full.pdf.
Accessed April 2022
Snell N (2001) Ribavirin - current status of a broad spec-
trum antiviral agent. Expert Opin Pharmacother 2(8):
1317–1324. Accessed April 2022
Song Z, Xu Y, Bao L, Zhang L, Yu P, Qu Y et al (2019)
From SARS to MERS, thrusting coronaviruses into the
spotlight. Viruses 11(1):E59. https://doi.org/10.3390/
v11010059. Accessed March 2022
Tripathy S, Dassarma B, Roy S, Chabalala H, Matsabisa
M (2020) A review on possible modes of action of
chloroquine/hydroxychloroquine: repurposing against
SAR-CoV-2 (COVID-19) pandemic. Int J Antimicrob
Agents 56(2):106028. Accessed April 2022
Turner L, Munsie M, Levine A, Ikonomou L (2021) Ethi-
cal issues and public communication in the develop-
ment of cell-based treatments for COVID-19: lessons
from the pandemic. Stem Cell Rep 16(11):2567–2576.
Accessed April 2022
UK Health Security Agency (UKHSA) (2022.) Data series
on deaths in people with Covid-19 –Technical sum-
mary - UK Heath Security Agency data series on
deaths in people with COVID-19 (available at UK
Heath Security Agency data series on deaths in people
with COVID-19 publishing.service.gov.uk). Accessed
March 2022
V’kovski P, Gultom M, Kelly JN, Steiner S, Russeil J,
Mangeat B, Cora E, Pezoldt J, Holwerda M, Kratzel A,
Laloli L, Wider M, Portmann J, Tran T, Ebert N,
Stalder H, Hartmann R, Gardeux V, Alpern D,
Deplancke B, Thiel V, Dijkman R (2021) Disparate
temperature-dependent virus-host dynamics for SARS-
CoV-2 and SARS-CoV in the human respiratory epi-
thelium. PLoS Biol 19(3):e3001158
Wang K, Gheblawi M, Oudit GY (2020) Angiotensin
converting enzyme 2: a double-edged sword. Circula-
tion 142(5):426–428
Xu H, Zhong L, Deng J, Peng J, Dan H, Zeng X, Li T,
Chen Q (2020) High expression of ACE2 receptor of
2019-nCoV on the epithelial cells of oral mucosa. Int J
Oral Sci 12(1):8
Yang CW, Lu LC, Chang CC, Cho CC, Hsieh WY, Tsai
CH, Lin YC, Lin CS (2017) Imbalanced plasma ACE
and ACE2 level in the uremic patients with cardiovas-
cular diseases and its change during a single hemodial-
ysis session. Ren Fail 39(1):719–728
Ye Q, Wang B, Mao J (2020) The pathogenesis and
treatment of the ‘Cytokine Storm’in COVID-19. J
Infect 80(6):607–613. Accessed April 2022
3 A Review of Pathology and Analysis of Approaches to Easing Kidney Disease... 57
Yeung M, Teng J, Jia L, Zhang C, Huang C, Cai J, Zhou R,
Chan K, Zhao H, Zhu L, Siu K, Fung S, Yung S,
Chan T, To, K, Chan J, Cai Z, Lau S, Chen Z, Jin D,
Woo P, Yuen K (2021) Soluble ACE2-mediated cell
entry of SARS-CoV-2 via interaction with proteins
related to the renin-angiotensin system. Cell 184(8):
2212–2228.e12
Zumla A, Wang F, Ippolito G, Petrosillo N, Agrati C,
Azhar E, Chang C, El-Kafrawy S, Osman M,
Zitvogel L, Galle P, Locatelli F, Gorman E, Cordon-
Cardo C, O’Kane C, McAuley D, Maeurer M (2020)
Reducing mortality and morbidity in patients with
severe COVID-19 disease by advancing ongoing trials
of Mesenchymal Stromal (stem) Cell (MSC) therapy –
achieving global consensus and visibility for cellular
host-directed therapies. Int J Infect Dis 96:431–439.
Accessed April 2022
Part II
Radiology and Patient Care
The Evolution of Equipment
and Technology for Visualising
the Larynx and Airway
4
Duncan King and Alison Blair
Abstract
Laryngoscopy and endotracheal intubation are
the core skills of an anaesthetist. The tools and
equipment used today are unrecognisable from
the methods used in the first recorded attempts
at laryngoscopy over 200 years ago. The evo-
lution of the modern-day laryngoscopes has
mirrored advancements in technology within
general society, and particularly with regard to
computer and fibreoptic technology over the
last 30 years. The development of these mod-
ern visualisation devices would not have been
possible without those that went before it, as
each new device has been influenced by the
previous. Video laryngoscopes have quickly
gained popularity as the primary intubating
device in many scenarios, driven by ease of
use as well as positive patient outcomes. While
it is still debated whether videolaryngoscopes
can replace direct laryngoscopy for routine
intubations, their effectiveness in difficult
airways is unquestioned. This chapter will
cover the anatomy of the airway and the devel-
opment of technology from the rudimentary
creations in the early 1700s to the modern
larynsgocopes created in the twenty-second
century which allow the user to view the air-
way in more detail in order to secure endotra-
cheal intubation even in an airway where
intubation would be difficult.
D. King
Northern Irish Medical and Dental Agency, Belfast,
Northern Ireland
A. Blair (✉)
Craigavon Hospital, Southern Health and Social Care
Trust, Craigavon, UK
e-mail: alison.blair@southerntrust.hscni.net
#The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
E. Abdel Meguid et al. (eds.), Biomedical Visualisation, Advances in Experimental Medicine and
Biology 1406, https://doi.org/10.1007/978-3-031-26462-7_4
61
Keywords
Airway · Intubation · Larynx · Laryngoscope ·
Laryngoscopy
4.1 Airway
The larynx is located in the anterior aspect of the
neck at the level of the third to sixth cervical
vertebral bodies and lies at the junction between
the oesophagus and trachea. It is bordered by the
hyoid bone superiorly and the cricoid cartilage
inferiorly (Strandring et al. 2015). The primary
function of the larynx is to protect the trachea
from the aspiration of substances, by closing, in
a sphincter valve-like mechanism, upon mechan-
ical stimulation, typically during swallowing of
food or liquid. The larynx also plays a crucial role
in phonation and the regulation of breathing
(Pohunek 2004; Isaacs and Sykes 2002).
The anatomy of the larynx can be described by
its external anatomy and its internal anatomy.
It is composed of a rigid cartilaginous skele-
ton, and an inner lining of muscles. The skeleton
consists of three large unpaired cartilages (epi-
glottis, thyroid, and cricoid) and three smaller
paired sets of cartilages (arytenoids, corniculate,
cuneiform) (Strandring et al. 2015).
62 D. King and A. Blair
Epiglottis It is a leaf-shaped cartilage that
flattens and moves down to cover the superior
opening of the larynx, preventing aspiration dur-
ing swallowing. It is attached by a “stalk”to the
anterior aspect of the thyroid cartilage. A clini-
cally important pair of pouch-like areas situated
between the epiglottis and the base of the tongue
are known as the valleculae. A Macintosh-style
laryngoscope is placed into this space to allow a
good view of the laryngeal inlet while intubating.
Thyroid Cartilage It is the biggest of the
cartilages of the larynx. It is composed of two
lamina and the anterior conjoint region between
the two is known as the laryngeal prominence
(colloquially known as the Adams apple)
(Strandring et al. 2015). Superiorly, the lamina
project to form superior horns, which attach to the
hyoid bone via the thyrohyoid membrane. Inferi-
orly the lamina forms inferior horns which attach
to the cricoid cartilage via the cricothyroid mem-
brane (Isaacs and Sykes 2002).
Cricoid Cartilage It is a signet ring-shaped car-
tilage that encircles the airway. The cricoid ring
consists of a tall posterior sheet or lamina and a
much narrower anterior arch. The cricoid carti-
lage itself signifies the inferior border of the lar-
ynx and is found at the level of sixth cervical
vertebra. It articulates with the thyroid cartilage
as well as the arytenoids (Pohunek 2004). The
cricoid is the only laryngeal cartilage that is a
complete ring, a fact that is utilised clinically
during emergency intubation or non-fasted
patients. External pressure anteriorly over the cri-
coid cartilage causes compression of the oesoph-
agus and theoretically reduces the risk of
regurgitation and aspiration of stomach contents
(Roberts et al. 1994).
The paired arytenoids cartilages are three-
sided pyramidal shaped and they articulate with
the border of the lamina of the cricoid. The apex
of the arytenoids is where the corniculate
cartilages articulate. The lateral extension of the
arytenoids is known as the muscular process and
serves as an attachment point for the
cricoarytenoid muscles. The medial aspect of the
base is known as the vocal process. The vocal
ligament (part of the vocal cord) attaches at the
vocal process and extends across to the thyroid
cartilage (Strandring et al. 2015).
The epiglottis is attached to the arytenoids by
the aryepiglottic ligament.
The cuniform and corniculate cartilages are
embedded within these vocal folds. The
corniculate cartilages attach to the apex of the
arytenoids. They serve to reinforce and support
the aryepiglottic folds.
There are several membranes and ligaments of
the larynx that serve as support for the cartilagi-
nous skeleton. These can be described as extrinsic
if they attach the larynx to surrounding structures,
or intrinsic, when they connect the various laryn-
geal cartilages together and hold it as one single
functioning unit (Strandring et al. 2015).
4.1.1 Extrinsic
•Thyrohyoid membrane—connects the thyroid
cartilage to the hyoid bone (which is not tech-
nically part of the larynx)
•Hyoepiglottic ligament—attaches the hyoid
bone to the epiglottis
•Cricotracheal ligament—attaches the cricoid
cartilage to the first tracheal ring.
4.1.2 Intrinsic
•Cricothyroid membrane—connects the cricoid
and thyroid cartilages. It is composed of two
parts; a single thickened median cricothyroid
ligament and two lateral cricothyroid
ligaments (also known as conus elasticus).
The cricothyroid membrane is clinically
important as the site of insertion of an emer-
gency airway in a “Can’t Intubate Can’t Ven-
tilate”scenario (Roberts et al. 1994).
•Quadrangular membrane—a relatively large
membrane that stretches between the lateral
aspect of the epiglottis and the arytenoid
4 The Evolution of Equipment and Technology for Visualising the Larynx and Airway 63
cartilages. The lower margin is thickened to
form the vestibular ligament, while the upper
margin forms the aryepiglottic folds
(Strandring et al. 2015).
The laryngeal cavity is the internal space between
the laryngeal cartilages and extends from just
below the epiglottis to the base of the cricoid
cartilage. When viewed during laryngoscopy
from above, there are two paired protrusions of
soft tissue into the laryngeal cavity. The superior
vestibular folds (or false vocal cords), and inferior
to that the white vocal folds (or true vocal cords).
The two-dimensional space in between the true
vocal cords is known as the rima glottidis.
4.1.3 Laryngeal Muscles
The complex range of functions performed by the
larynx is made possible by numerous sets of
muscles. These again can be classified into intrin-
sic (which are involved in phonation) and extrin-
sic muscles (which move the whole larynx
superiorly and inferiorly) (Roberts et al. 1994).
Extrinsic Muscles are compromised of the
suprahyoid groups (which generally elevate the
larynx) and the infrahyoid groups (which gener-
ally lower the larynx).
The Intrinsic Muscles together have three
distinct functions
•To close the vocal cords and inlet during
swallowing
•To open and relax the vocal cords during
inspiration
•To tense the vocal cords during phonation
The cricothyroid muscle acts to tense and
stretch the vocal cords and helps to create forceful
speech. The thyroarytenoid muscle relaxes the
vocal cords. The posterior cricoarytenoids abduct
the vocal cords, while the lateral cricoarytenoids
and the transverse arytenoid muscles adduct the
arytenoids, closing the glottis. The oblique
arytenoids and the aryepiglottic muscles adduct
the arytenoids, closing the glottis (Pohunek 2004;
Roberts et al. 1994).
4.1.4 Innervation of the Larynx
Laryngeal innervation is provided by two nerves,
the recurrent laryngeal nerve and branches of the
superior laryngeal nerve. Both are themselves
branches of the vagus nerve. The superior laryn-
geal nerve has two important branches—the inter-
nal and the external branches. The internal
receives sensory information from the glottis,
the supraglottis and the inferior aspect of the
epiglottis. The external branch provides motor
innervation to the cricothyroid muscle only.
The recurrent laryngeal nerve has sensory and
motor function. It receives sensory information
from the subglottis and provides motor innerva-
tion to all of the other intrinsic muscles of
the larynx. Of important clinical note, the
glossopharyngeal nerve provides sensory inner-
vation to the tongue base and the vallecula. It is
this that is stimulated during the process of laryn-
goscopy and endotracheal intubation (Strandring
et al. 2015).
4.2 Endotracheal Intubation
Endotracheal intubation is the process of inserting
a tube through the vocal cords and into the tra-
chea. It is a common, and essential skill in anaes-
thesia and done to protect and control the
patient’s airway (Collins 2014). There are in
effect an immeasurable number of indications
for endotracheal intubation. These indications
can be categorised into:
1. Protection of regurgitation of stomach
contents—e.g. in patients with low conscious
level.
2. Allow for mechanical ventilation during sur-
gery where spontaneous ventilation is not pos-
sible or adequate such as when muscle
relaxation is required.
3. Respiratory failure—due to any cause, such as
low conscious level, severe infection or mus-
cle weakness.
4. Partial or complete airway obstruction—which
again can be due to any cause (low conscious
level, infections, tumours).
64 D. King and A. Blair
5. To aid safe diagnostic procedures or
management—e.g. in patients who are intoxi-
cated or poorly co-operative, putting them-
selves or others at risk.
6. Shock syndrome of any cause—to allow tight
control of gas exchange in ICU (Hagberg
2018).
Controlling a patient’s airway is required in
the case of airway obstruction, often because the
patient has a low conscious level (through induc-
tion of anaesthesia, or other causes), resulting in
tissues around the upper airway losing their tone
and obstructing. Endotracheal tubes, when placed
within the trachea, result in a sealed circuit once
connected to a ventilator. This is achieved using a
balloon “cuff”in the distal aspect of the tube.
Inflating this cuff with air when placed in the
trachea creates this seal, therefore protecting the
airway from aspiration and allowing for positive
pressure ventilation (Hagberg 2018).
4.2.1 Laryngoscopy
Laryngoscopy is the broad term used for
visualisation of the larynx. It is a key practical
skill involved in anaesthetics, as it allows for
insertion of endotracheal tubes and is one of the
earliest key skills developed in anaesthetic
training.
Historically, humans have been obsessed with
developing means to visualise the internal body
structures, and the larynx is no different.
Physicians interest in visualising the larynx can
be traced to as early as mid-1700s (Burke 2004).
However, the historical credit for whom created
the laryngoscope as we know it is debated and
serves its roots in some related inventions from
the 1800s.
4.2.2 Early Devices
Despite the laryngoscope being the key tool of the
modern-day anaesthetist, early devices were in
fact created and used by surgeons. These early
creations were fairly rudimentary, and alterations
and adaptions have been made over the years by
successive scientists and resulting in the laryngo-
scope we know today (Burke 2004). In 1743 a
French surgeon named Leveret documented using
a highly polished metal spatula to visualise the
nasopharynx. He combined this with a snare-like
device to remove nasal polyps.
In 1807 German Physician Philipp von
Bozzini published a report on his device he called
his “light conductor”or “Lichtleiter”(Roth
2008). He described his device as “a simple appa-
ratus for the illumination of the internal cavities
and spaces in the living animal body”(Roth
2008). Von Bozzini’s device comprised a specu-
lum with a set of parallel tubes inside it. He
utilised light from a candle which is placed in
one of the tubes. This light is reflected down the
tube into the viewed body cavity, and the second
metal tube is used for viewing. This use of an
external light source differentiated his device
from earlier reflective devices. While von Bozzini
described using his device to visualise the naso-
pharynx and hypopharynx (among other
cavities), he never described visualisation of the
larynx (Bailey 1996; Pieters et al. 2015).
Benjamin Guy Babington in 1829 published a
report to the Hunterian society on his invention
the “glottoscope”which he used to view the lar-
ynx (Roth 2008). The “glottoscope”used sunlight
for illumination and consisted of a system of
mirrors as well as a separate tongue depressor
which he successfully used to visualise the larynx
(Pieters et al. 2015). The patient would be sitting
with their back to the sun and the user would then
hold a hand mirror, reflecting the sun’s light to the
back of the patient’s throat. A small mirror, which
was attached to a spatula, was then used to visu-
alise the larynx. Although there was documenta-
tion of Babington being able to view the larynx,
there was no reference made to the vocal cords
and their function (Burke 2004).
Despite all these earlier examples and
inventions, it is Manuel García who is generally
credited with the rather dubious title of “father of
Laryngology”. It is he who is considered to have
viewed the functioning glottis and vocal cords in
their entirety. García was a singer by trade, and in
a quest to improve his singing and teaching, he
wanted to learn how the vocal cords functioned.
Again, using the sun as an external light source,
García’s device used two mirrors, and was able to
observe his own functioning vocal cords and the
upper segments of his trachea (Burke 2004). In
his paper in 1855, García described the action of
the vocal cords during inspiration and
vocalisation and production of sound in the lar-
ynx (Bailey 1996).
4 The Evolution of Equipment and Technology for Visualising the Larynx and Airway 65
Laryngoscopy in this period was greatly hin-
dered by the requirement of an external light
source. This was restricted to using the sun, or a
candle, both of which were extremely impractical.
It was not until Thomas Edison invented the
lightbulb in 1878 that significant advances could
be made.
4.2.3 From Indirect to Direct
All devices and methods used for visualising the
larynx and vocal cords had been under indirect
vision, i.e. through reflection using mirrors, that is
until Alfred Kristein first described his device the
“Autoscope”in 1895 (Hirsch et al. 1986). His
device consisted of an electrical light source
termed the “electroscope”, which formed the han-
dle of the Autoscope. The light rays were focused
by a lens, and then reflected through 90 degrees
by a prism. A thick, rounded blade was attached
to the bottom of the handle, through which the
light was transmitted. The blade was used to
displace the tongue and epiglottis anteriorly,
therefore allowing direct visualisation of the
laryngeal inlet. Further developments by Kristein
produced two distinct blades for his Autoscope.
One which was placed into the vallecula, with
anterior pressure elevating the epiglottis allowing
visualisation of the larynx. The other, known as
the “intralaryngeal blade”, was placed beneath the
laryngeal surface of the epiglottis (Fig. 4.1). For-
ward and upward pressure lifted the epiglottis,
revealing the larynx below (Hirsch et al. 1986).
These two blades are clear predecessors to the
Macintosh and Miller blades. Kristein not only
pioneered the predecessor to the modern-day
direct laryngoscope, but he also understood the
importance of patient positioning for successful
laryngoscopy. He described “the body must be
placed in such a position that an imaginary con-
tinuation of the laryngotracheal tube would fall
within the opening of the mouth”(Hirsch et al.
1986). He understood that extension of the
atlanto-occipital joint is required, in what is now
colloquially termed the “sniffing the morning air”
position (Pieters et al. 2015).
Fig. 4.1 Kirstein’s modified autoscope. The standard
blade is shown attached to the handle, with the
intralaryngeal blade shown below. Medical Historical
Library, Harvey Cushing/John Hay Whitney Medical
Library. Reprinted with permission
Chevalier Jackson was the first to combine
direct laryngoscopy with endotracheal intubation.
He invented a U-shaped laryngoscope with a
handle and a blade with an incorporated distal
light (Fig. 4.2). This differentiated his device
from Kristein’s earlier one, which used a proxi-
mal light source. Jackson’s laryngoscope also
incorporated a sliding base on the blade to allow
easy passage of an endotracheal tube (Moon et al.
2021). He was also the first to introduce laryngos-
copy in the supine position, rather than the sitting
position that all previous methods had utilised.
Jackson also further emphasised the importance
of c-spine flexion with head extension for laryn-
goscopy (Pieters et al. 2015).
Up until this time, the laryngoscope (or earlier
devices), were tools used by surgeons, primarily
for diagnostic purposes. It was clear that direct
laryngoscopy showed potential benefits for
anaesthesia, and it was an American anaesthetist,
Henry Janeway, who was influential in
popularising the use of direct laryngoscopy in
anaesthetics. Surgery at the time was primarily
performed using inhalation anaesthesia, by plac-
ing a cone over the patient’s mouth and nose.
There was no protection against collapse of the
patient’s upper airway and obstruction by the
tongue, and there was also a high risk of aspira-
tion of blood, mucus, or vomit during surgery.
Janeway recognised these risks, and the potential
for tracheal intubation to alleviate these and
showed improved success of these surgeries by
achieving this (Burke 2004). He noted the diffi-
culty in achieving reliable and safe tracheal
intubation, and so developed a laryngoscope
with the sole purpose of aiding this (Pieters
et al. 2015). His device, known as the “specu-
lum”, incorporated a battery-powered distal light
source situated within the handle itself allowing
more manoeuvrability of the device. He also
added a central notch to the blade to guide the
tube during placement, as well as a slight curva-
ture to the distal tip to help direct the tip through
the vocal cords (Burke 2004).
66 D. King and A. Blair
Fig. 4.2 Jackson’s laryngoscope. Wood library-Museum
of Anesthesiology Reprinted with permission
The horrifically disfiguring injuries sustained
in World War 1, resulted in further advancements
within the field of airway management in
anaesthetics. Two British Anaesthetists, Sir
Ivan W. Macgill and Edward S. Rowbotham,
described anaesthesia for reconstructive facial
surgery for British soldiers. They realised that
surgery for these soldiers was easier with the
airway secured with an endotracheal tube. From
the early 1920s, they described several alterations
and advancements to laryngoscopy, each of
which aimed at providing safe means to secure
the patients airway for facial surgery (Magill
1930; Rowbotham and Magill 1921).
Rowbotham and Magill (1921) described
using a laryngoscope developed similar to
Janeway’s earlier device, whilst incorporating a
“guiding rod”. This was a metal rod used to grasp
the end of the endotracheal tube and direct it into
the trachea under direct vision (Rowbotham
1920). Magill designed a U-shaped laryngoscope
in 1926, which itself was a modification of the
earlier Jackson laryngoscope (Magill 1926).
Magill also altered his laryngoscope to be
“folding”—similar to a modern direct laryngo-
scope device. He suggested an intubation tech-
nique of inserting the blade in a “paraglossal
approach”, i.e. inserting the blade at the side of
the mouth rather than the midline, which helped
improve the view. He also put batteries into the
handle, continuing from Janeway’s earlier
advancement. Magill also introduced his now
ubiquitous “Magill forceps”, heavily based on
Rowbotham’s“guiding rod”, which help to direct
the tube into the trachea during endotracheal intu-
bation (Magill 1930).
A wide range of ultimately very similar laryn-
goscopy blades were being described at this time.
Robert Miller described his “straight”laryngos-
copy blade, (the so-called “Miller Blade”) in 1941
(Pieters et al. 2015; Miller 1941). While so-called
“straight”, there was still a slight curve to the
blade two inches from the tip. The blade was
designed to be placed under the epiglottis and
directly lift it onto the anterior wall of the larynx,
allowing a view of the vocal cords. In 1946 Miller
produced an infant version, which proved
extremely successful, and is still used today.
Infant anatomy is still considered by many to be
more suited to the use of a straight blade when
performing laryngoscopy.
Probably the most significant and enduring
advancement in the field of direct laryngoscopy
was made by Robert Macintosh. He described the
endotracheal intubation prior to the advent of
muscle relaxants as a “tour de force”, and
believed that the hallmark of a successful anaes-
thetist was “the ability to pass an endotracheal
tube under direct vision”(Scott 2009; Macintosh
1943). The majority of anaesthetists at the time
would often struggle to expose the vocal cords of
their unparalysed patients. The ground-breaking
1942 paper on the first use of muscle relaxation
(Griffith and Johnson 1942) was yet to be
published, and it was necessary to deepen the
patient with large doses of general anaesthesia
before attempting intubation (Scott 2009). The
invention of muscle relaxation allowed much eas-
ier exposure of the vocal cords, as well as easier
passing of endotracheal tubes through relaxed
cords. It also significantly reduced the rate of
laryngospasm, the potentially life-threatening
condition where the vocal cords spasm and
clamp shut, preventing any air getting into the
lungs (Hagberg 2018).
4 The Evolution of Equipment and Technology for Visualising the Larynx and Airway 67
Macintosh felt that many anaesthetists were
struggling to consistently intubate patients due
to issues with poor technique. During direct lar-
yngoscopy, the standard practice at the time
involved passing a straight blade in the midline
and lifting the epiglottis, even though Magill had
clearly described the technique of paraglossal
straight-blade laryngoscopy (Scott 2009). Macin-
tosh disagreed with the midline approach. In his
1943 textbook, he wrote that using a straight
blade in the midline could “make the tongue
bulge over the blade and obscure the view”(Mac-
intosh 1943). Poor straight-blade technique hin-
dered laryngoscopy and set the stage for
Macintosh to develop his famous laryngoscope
(Scott 2009).
Macintosh experimented with different
devices and found one day during tonsillectomy
surgery, “Opening the mouth with the Boyle-
Davis gag, I found the cords perfectly displayed
...before the morning had finished”(Scott 2009),
The “Boyle-Davis gag”was a curved metal
device placed in the mouth and used to visualise
the oropharynx and stabilise the tonsils for
surgery. He got his assistant to solder this
“Boyle-Davis gag”onto a laryngoscope
blade, and thus the Macintosh blade was born.
Macintosh discovered that the key to achiev-
ing this “perfect display”of the laryngeal inlet
was his new method of indirectly elevating the
epiglottis: “the important point being that (with a
blade shorter than other laryngoscopes) the tip
finishes up proximal to the epiglottis”(Jephcott
1984). Macintosh was not the first to observe that
the blade did not need to go beyond the epiglottis,
he was however the first to suggest the standard of
placing the blade tip within the vallecula (Scott
2009). He illustrated the fact that when the laryn-
goscope tip is placed in the vallecula and is “lifted
... the epiglottis, because of its attachment to the
base of the tongue, is drawn upwards and the
(entire) larynx comes into view”(Macintosh and
Bannister 1943) This new technique of indirectly
elevating the epiglottis still remains the preferred
method of direct laryngoscopy worldwide (Scott
2009).
Despite acknowledging the obvious curve of
his own laryngoscope, Macintosh believed that
people focused too much on the curve of the
blade. He stated that “The precise shape or
curve of the blade does not seem to matter much
provided the tip does not go beyond the epiglot-
tis”and providing the technique of the user was
adequate (Macintosh 1944). Macintosh eventu-
ally settled on a curve that mimicked that of the,
then-popular, Magill’s endotracheal tube. In fact,
in the early days Macintosh laryngoscopes could
be bought with various curves, or even straight,
illustrating that the point was not the curve, but
rather the method of indirectly lifting the epiglot-
tis with a shorter blade (Scott 2009).
The Macintosh and the Miller laryngoscope
formed the cornerstone of anaesthetic airway
management until modern times, and indeed are
still the predominant laryngoscopes used in much
of the world today (Fig. 4.3). There are a small,
but significant number of people whom obtaining
an adequate view of the glottis is either extremely
difficult or impossible with the Macintosh and
Miller laryngoscopes. As a result, there have
been several attempts to modify these in order to
overcome these situations (Hagberg 2018).
68 D. King and A. Blair
Fig. 4.3 Modern Miller (top) and Macintosh (bottom)
laryngoscope blades
Before considering the modifications, it is use-
ful to understand the components of the modern
laryngoscope.
4.2.4 Modern Laryngoscope
The basic structure of a laryngoscope consists of a
blade, a handle and a light source (Hagberg
2018). The main shaft of the blade is known as
the spatula. Its function is to displace and com-
press the tongue and soft tissues. This allows the
oral and pharyngeal axis to be aligned, providing
a direct line of site between the laryngeal inlet and
the operators eye (Figs. 4.4,4.5, and 4.6). The
blade can be straight or curved as previously
discussed. The blade also comes in different
sizes, from size 0 (used in neonates) to size
4 (used in large adults) (Fig. 4.7).
The upward projection on the top of the blade
is known as the flange (Figs. 4.4,4.5, and 4.6). On
the Macintosh laryngoscope the flange is a
reverse-Z shape, and functions to help displace
and hold the tongue out of the field of vision. The
tip of the laryngoscope (sometimes called the
beak) is blunt and thickened in order to prevent
any trauma to the soft tissues. The light source is
located in close proximity to the tip, and is
provided either directly by a lightbulb, or indi-
rectly via fibreoptics from a light source at a
distance. The handle of the laryngoscope contains
the batteries for the light source and comes in
various sizes. These are standard, paediatric
(which is thinner to improve the balance with
small paediatric blade) and a short handle
(to improve ease of intubating obese patients or
those with large breasts). The blade attaches onto
the handle via a hook at the base of the blade. This
base also contains an electrical contact that
provides power from the battery to the light
(Figs. 4.4,4.5,and4.6).
Fig. 4.4 Modern Macintosh blade and handle lateral view
Despite the enduring popularity and success,
even until present day, of the Macintosh and
Miller largyngoscopes, there was a small but sig-
nificant proportion of the population upon whom
Fig. 4.5 Modern Macintosh blade and handle
obtaining an adequate view of the vocal cords
was either extremely difficult or impossible
using these devices. There has over the years
been numerous attempts, through functional
adaptions to the “basic”Macintosh or Miller
laryngoscope to try and rectify this.
4 The Evolution of Equipment and Technology for Visualising the Larynx and Airway 69
Fig. 4.6 Modern Macintosh blade (posterior view). Note
reverse z-shaped flange
Fig. 4.7 Modern Macintosh blade size (from top to bot-
tom) 4, 3, 1, and 0
4.2.5 Macintosh Related Curved
Blades
One of the first adaptions to Macintosh’s blade
was by Dr. Parrott in 1951. He lengthened the
blade by around 2.5 cm and created a more grad-
ual curve. This was in an attempt to facilitate
intubating patients with prominent teeth or a
receding jaw, while the additional length was
useful in larger patients (Parrott 1951). The
Parrott laryngoscope was otherwise identical to
the Macintosh.
While it was recognised that the straight and
curved blades each had their own specific
advantages, Drs. Bowen and Jackson created a
laryngoscopy blade in 1958 that they hoped could
be successful in all difficult scenarios. The blade
was almost straight with a significant curve to the
distal aspect, and the tip was split. This split
allowed it to be placed deep into the vallecula,
and in theory more effectively lift the epiglottis
(Bowen and Jackson 1952).
A mirror-imaged version of the Macintosh
laryngoscope exists, fairly oddly named the
“left-handed laryngoscope”, as it is conversely
held in the user’s right hand. It is identical in
blade shape as the regular Macintosh laryngo-
scope, however the flange is orientated in the
opposite direction. This could be used in patients
with oropharyngeal abnormalities necessitating
placement of the endotracheal tube in the left
side of the patients’mouth (Pope 1960).
The distal spatula of a few blades has been
reported as having a sharper curve than the Mac-
intosh. Most noteworthy was one produced by
Gubuya-Orkin, which was first described in
1959. This was distinctive for having an
S-shaped blade and a 3 cm bendable distal portion
which they described bending it through a range
of 15–45°. The ideal intubating angle, according
to the authors, is 35°from horizontal, which
enables the instrument to lift the epiglottis indi-
rectly (Gabuya and Orkin 1959). The blade,
which was discovered to be particularly success-
ful in some cases when laryngoscopy using the
Macintosh blade had failed, may have been the
prototype for other blades having a distinct set or
adjustable distal curvature (Hagberg 2018).
70 D. King and A. Blair
A significant improvement was made to the
original Macintosh laryngoscope by Raez
(1984). He altered the mid-blade by flattening
the curve slightly and made slightly concave.
These combined alterations should lessen the
“crest-of-hill”effect, in which the convexity at
the midblade can obstruct the direct line of vision
between the user and the laryngeal inlet. This
blade is known as the Improved view Macintosh
(Raez 1984).
4.2.6 Miller Related Straight Blades
There have been numerous attempts at alterations
to the classic Miller straight blade. Most notably
are the Soper, the Wisconsin and the Phillips
blades. The Soper was introduced in 1947,
which was largely straight. It was produced in
response to difficulty in lifting a long “flabby”
epiglottis by the Macintosh blade (Soper 1947). It
had a small transverse slot cut into the distal blade
in order to prevent the epiglottis from slipping off
the blade. The Wisconsin is entirely straight with
a C-shaped flange that gradually increases in size
from proximal to distal (Hagberg 2018). The
Phillips blade was released in 1973 and is a com-
bination of the slightly curved tip of the Miller
and the shaft of the Jackson blade (Phillips and
Duerksen 1973). The Soper, the Winsonsin and
Phillips blades are all still in commercial use
today.
4.2.7 Levering Tip Laryngoscope
The levered tip laryngoscope (Corazzel-
li-London-McCoy or CLM blade) was initially
produced as an adaption to the Macintosh curved
blade in 1993, although it is now readily available
in both curved and straight blade configurations.
These blades have a distal hinging tip that can be
activated by a spring-loaded lever attached to the
laryngoscopes handle. Pressing the lever elevates
the tip, which is the final 2.5 cm of the blade, by
around 70°(Figs. 4.8 and 4.9). This tip can act in
the vallecula, providing good contact with the
hyoepiglottic ligament, allowing lifting of the
epiglottis. This can be particularly useful in
situations of limited neck movement, where
force through the blade could be detrimental, or
situations of limited mouth opening (McCoy and
Mirakhur 1993). In theory less force is required
when using a CLM blade, and therefore less sym-
pathetic stimulation is seen (increasing heart rate
or mean arterial pressure) (McCoy and Mirakhur
1995). Some recent studies have shown using the
CLM blade and engaging the tip may in fact
worsen an otherwise easy view (Tuckey et al.
1996). This is thought to be due to the fact that
in these “easy views”the tip would easily and
fully engage the vallecula and lift the
hyoepiglottic ligament. Further activation of the
handle and tip in fact causes posterior displace-
ment of the blade, as there is no further anterior
displacement of the hyoepiglottic ligament possi-
ble, which causes worsening of the view (Levitan
and Ochroch 1999). The CLM blade has been the
most recent significant adaption to the classical
indirect laryngoscopes.
Fig. 4.8 CLM laryngoscope
4 The Evolution of Equipment and Technology for Visualising the Larynx and Airway 71
Fig. 4.9 CLM laryngoscope with hinging tip activated
4.2.8 Return to Indirect
Laryngoscopy
While the Macintosh and Miller blades ensured
that direct laryngoscopy was by far and away the
most common method of endotracheal intubation,
there have been numerous rigid indirect
laryngoscopes introduced over the last 60 years.
These rigid indirect laryngoscopes allow a view
of the laryngeal inlet and vocal cords indirectly
through the use of mirrors, fibreoptic cables, or
video cameras (Hagberg 2018). They provide an
advantage as they can “look round the corner”,
therefore potentially improving an otherwise dif-
ficult intubation. The structure of these indirect
laryngoscopes can vary from a slightly adapted
Macintosh blade to an entirely distinctive design
altogether.
While the impression of these indirect
laryngoscopes is that they are modern inventions,
in fact the first widely available device was pro-
duced by Siker in 1959. He produced a blade with
an incorporated mirror, which can be used to
identify the epiglottis and laryngeal inlet if they
cannot be directly visualised. Copper wiring
attaches the mirror to the blade, allowing heat
conduction in an attempt to prevent the mirror
from steaming up. The mirror inverts the image,
meaning that the process of tracheal intubation
takes a large amount of specific practice with the
Siker device (Siker 1956).
McMorrow and Mirakhur developed a similar
mirrored device. It was an adaption of the regular
CLM laryngoscope but was unique in that
activating the lever not only elevated the tip, but
deployed a mirror posteriorly and inferiorly to the
blade (McMorrow and Mirakhur 2003).
4.2.9 Prisms in Laryngoscopes
The use of prisms in laryngoscopes was not a new
concept, as Kristen had done in the late nineteenth
century, however Huffman (1968) re-introduced
the concept. He attached a triangular prism to a
Macintosh blade, allowing refraction of the light
through 30 degrees, and allowing the user to “see
round the corner”(Huffman 1968). This allowed
improvement in obtainable view in particularly
challenging intubations, and also allowed less
force to be used when trying to obtain a view.
He subsequently attached a second prism more
proximally, creating a second device that allowed
refraction of light through 80°.
The Airtraq device was the most commercially
and clinically available Prism-assisted device.
The blade of the Airtraq is designed to be
“anatomically shaped”, and thus at a more acute
angle than the Macintosh blade. The concept was
aimed at creating a device that would provide a
view of the laryngeal inlet while not requiring
alignment of the oral, pharyngeal, and tracheal
axes (Hagberg 2018). This allows easy
visualisation of the glottis while intubating. As
the Airtraq is able to “look around the corner”of
the tongue to obtain a laryngeal view while using
minimal “lifting force”, it is suggested it provides
a clinical advantage in certain scenarios. These
include patients with an anterior larynx (a term
used within to describe the phenomenon of the
laryngeal inlet appearing more anterior to the line
of sight during laryngoscopy) or restricted neck
movements from any cause (fractures and
immobilisation collars, radiotherapy, burns etc.).
The Airtraq consists of two adjacent channels.
The “viewing channel”consists of various lenses
and prisms and terminates at the proximal eye
piece on the laryngoscope handle. The adjacent
channel acts as a “housing channel”for the endo-
tracheal tube and allows easy advancement of the
tube down the channel and through the vocal
cords, under vision via the eyepiece. With the
tube in position, it can be separated from the
Airtraq device by “peeling”. The battery-powered
light source is found at the tip of the blade, as is a
small heater, which heats and prevents fogging of
the distal lens (Hagberg 2018).
72 D. King and A. Blair
4.2.10 Fibreoptics
The largest and most significant development
with regard to laryngoscopy and intubation over
the last 70 years has without doubt been the
introduction of fibreoptics. Fibreoptic scopes
were initially developed in the 1950s for use as
endoscopes. Over time, bronchoscopes became
more readily used, but it was not until the 1980s
when fibre-optics were utilised in anaesthetic
practice as part of rigid indirect laryngoscopes
(Hagberg 2018).
Fibre-optic cables transmit their light by
means of total internal reflection. This is the pro-
cess by which light in a medium is completely
reflected back into the medium by its surround-
ings. All light is refracted (or “bent”) to a degree
when it passes between two differing substances.
This is because the substances have a different
refractive index. A commonly seen example of
this is viewing an object that is half submerged in
water. Water and air have different refractive
indices so the object will appear bent at the
point it enters the water. Total internal reflection
occurs when refraction is so great that the whole
beam is bent (or reflected) back into the original
material. This occurs when the angle between the
light source and the boundary is greater than the
critical angle.
Afibre-optic cable transmits information as
light (photons) via incredibly thin (around
20 μm in diameter) strands of glass or plastic
known as optical fibres. There are around
15,000 of these glass fibres in a fibre-optic
scope. Fibreoptic devices have bundles of around
15,000 glass fibres, each about 20 μm in diameter.
These strands make up the core of the fibre-optic
cable. The core is surrounded and encased by a
layer of a different type of glass known as the
cladding. It is the boundary between the core and
the cladding that allows for total internal reflec-
tion. The cladding is surrounded by a protective
coating, as well as strengthening and supportive
Kevlar fibres in modern devices.
These fibre-optic scopes allow rapid and
clear transmission of pictures, which has
revolutionised medical practice, from endoscopes
to view the gastrointestinal tract to bronchoscopes
which allow fibre-optic intubations.
Rigid indirect fibre-optic laryngoscopes were
the biggest evolutionary change in anaesthetics
since Mactinosh’s creation. While the popularity
of the laryngoscopes individually was never
great, they signalled a significant advancement
in the technology in anaesthetic practice. They
were introduced in the late 1980s in the form of
the Bullard Laryngoscope. It features a rigid
L-shaped blade and incorporates fibre-optic
bundles that transmit the image to the proximal
eye piece (Kastnelson and Straker 1996). The
blade of the Bullard laryngoscope is anatomically
shaped, allowing for indirect visualisation of the
laryngeal inlet, without alignment of the oral,
pharyngeal, and laryngeal orifices. It was
conceived as a laryngoscope that is useful in
patients who are difficult to intubate, particularly
with minimal neck movement. It can also be used
for awake intubation in patients as minimal
“lifting force”is required for intubation. The
Bullard laryngoscope features a “work channel”
which lies posterior to the blade and can be used
for suction as well as local anaesthetic or oxygen
administration during laryngoscopy. The Bullard
laryngoscope also features an attachable metal
stylet, which can be used with a pre-loaded endo-
tracheal tube to facilitate intubation. The eyepiece
can either be used directly by the user or can be
attached to a video camera for display on a large
screen (Borland and Casselbrant 1990).
The UpsherScope is similar in design to the
Bullard Laryngoscope, however, consists of a
J-shaped rather than L-shaped blade (the blade
has less of an acute angle to it), which is also
thinner and flatter. Instead of an attached stylet,
the UpsherScope has a C-shaped channel poste-
rior to the blade which is designed to help guide
the endotracheal tube through the cords when
intubating. It is simpler in design when compared
to the Bullard laryngoscope, as it has no acces-
sory channel for suctioning or administration of
drugs. It is otherwise similar to a handle and fibre-
optic viewing fibres that connect to an eye piece
(Pearce and Shaw 1996).
4 The Evolution of Equipment and Technology for Visualising the Larynx and Airway 73
The WuScope is the third of the common rigid
fibreoptic scopes that were seen in clinical prac-
tice. It is similar in concept to the UpsherScope
and the Bullard Laryngoscope, however differs in
its design. It consists of two components: a
removable flexible fibreoptic scope and a rigid
blade laryngoscope structure. The blade itself
consists of a handle, and a hollow tubular blade
that contains two internal channels. One of these
channels is the guiding passage for the endotra-
cheal tube, while the other houses the fibreoptic
endoscope. The tubular structure was designed in
order to protect the endoscopic fibres from
secretions or blood, as well as hold soft tissue
structures of the airway out of the way. The
WuScope also incorporates an oxygen channel
next to the endoscopic fibres. The blade attaches
to the handle of the device at 110°which was to
allow for easy entry into the oropharynx (Wu and
Chou 1994).
4.2.11 Flexible Fibre-Optic Scope
Intubation
While rigid fibre-optic laryngoscopes are still a
relatively recent invention, fibre-optic intubating
bronchoscopes have been around since 1967
when Dr. Peter Murphy first demonstrated the
procedure using a surgical choledochoscope.
Quickly the practice of fibreoptic intubating
bronchoscopes became more widespread, initially
for normal intubations, but soon for difficult
airways. Due to its obvious advantages compared
to rigid devices, the flexible intubating broncho-
scope became the gold standard throughout
anaesthetic practice for intubating patients with
difficult airways and cervical spine high-risk
patients. It also became an extremely useful
diagnostic tool for assessing potentially difficult
airways, confirming endotracheal tube placement
(in particular double lumen tubes), as well as
therapeutic management of foreign bodies/
secretions (Hagberg 2018).
The obvious main advantage of the flexible
intubating bronchoscope is the minimally inva-
sive nature, so the intubation can therefore be
done awake with no muscle relaxants.
All flexible fibre-optic bronchoscopes have the
same basic components: the body, the insertion
cord and the flexible tip.
The body consists of the handle of the device
on which is attached several key features. It
contains an eyepiece and lens, or on more modern
devices, a video output adapter or actual video
screen. The handle also contains a light source
which is either battery operated for portability or a
connection cable for an external light source. The
handle also contains a single plane control lever
for controlling the direction of the tip (either up or
down), as well as an attachment point for a suc-
tion channel (Hagberg 2018).
The body handle is attached to the insertion
cord which is the part that enters into the patient.
It is a thin flexible cord that passes into the
patients’airway and be inserted orally or nasally.
It contains several components that allow
visualisation of the structures of the airway. The
fibreoptic light bundle transmits light down to the
tip from the light source, while the fibreoptic
image bundle transmits the image in the form of
light from the tip to the eye piece. The light
bundles are made up of anywhere between
10,000 and 50,000 glass fibres, each 8 or 9 μm
in diameter. Each of these strands is surrounded
by a layer of cladding, as discussed earlier. Also
contained withing the insertion tube are angula-
tion wires. These run the length of the insertion
tube and connect the control lever to the tip of the
fibreoptic device. On flexing the control lever,
these move the tip through a vertical plane
allowing the user to direct the fibre scope. The
final component of the insertion tube is a suction
channel that runs from the tip to the suction port
on the handle. This channel can alternatively be
used to administer medications (such as local
anaesthetics) or used as a biopsy port.
74 D. King and A. Blair
The final aspect of a fibre-optic scope is the
flexible tip which contains a lens for focusing the
light entering the scope.
Fibre-optic intubations can either be done
orally or nasally. Oral fibreoptic intubation is
generally seen to be a more challenging proce-
dure as the tongue tends to collapse to the back of
the oropharynx, even in an awake patient, making
navigation with the fibreoptic scope more diffi-
cult. Several airway accessory devices have been
introduced to assist with oral fibreoptic
intubations. These devices, which include the
Berman Intubating Airway (Figs. 4.10 and 4.11)
and the Williams Airway Intubator, sit in the
oropharynx and help guide the fibreoptic scope
down towards the larynx and vocal cords. They
also function to hold the tongue and soft tissues
out the way to allow passage of the scope and
have a “breakaway slit”to allow them to be
peeled off the scope once it has passed through
the vocal cords. Once this accessory device has
been removed, the endotracheal tube, which had
been pre-loaded onto the fibreoptic scope before
starting, is then railroaded down the scope and
through the cords.
Fig. 4.10 McGrath videolaryngoscope right lateral view
Fig. 4.11 McGrath videolaryngoscope, left lateral view
Nasal fibreoptic intubation is often seen as
simpler as the nasal passage helps guide the
scope towards the vocal cords. The size of endo-
tracheal tube that is used is restricted, however,
generally to a size 6, due to the relatively small
size of the nostrils. This has implications for
ventilation, and particularly with ongoing man-
agement in intensive care afterwards, if applica-
ble. For this reason, the user may often the elect to
afterwards do an airway exchange for an oral
endotracheal tube once nasal fibreoptic intubation
has been achieved.
Fibreoptic intubations can be done either
awake or unconscious. They major use benefit
of fibreoptic intubations is in those patients with
known or suspected difficult airways, most
practitioners will elect to use awake fibreoptic
intubations to keep the patient spontaneously
breathing throughout should any difficulties arise.
Due to this ability to “bail out”from the intu-
bation, awake fibreoptic intubation (AFOI) is the
most risk-free method of intubation, so there does
not in fact need to be a specific indication to use
it. There are specific situations where AFOI is
specifically indicated.
4 The Evolution of Equipment and Technology for Visualising the Larynx and Airway 75
•It remains the gold standard for any patient
with a known or expected difficult airway as
mentioned, specifically for patients with oro-
pharyngeal malignancies. It is not particularly
effective for patients with tumours or strictures
of the glottic or subglottic regions, however.
•Any patients with cervical spine instability.
•Those at risk of intubation trauma, e.g. loose
teeth.
•Avoidance of aspiration in very high-risk
patients.
•Allergy to muscle relaxant.
•Placement of double lumen tubes and
tracheostomies.
•For cardiovascular stability—as induction
once endotracheal tube is in situ is generally
inhalational.
One of the biggest restrictions to the use of
fibreoptic scopes is cost. Re-usable fibreoptic
scopes produced by Olympus with accompanying
screen and equipment costs upwards of £20,000
which is prohibitively expensive for many
departments (Hagberg 2018). A cheaper alterna-
tive is the Ambu aScope, which is a disposable
flexible scope utilising a camera and LED light
source. The images are electronically transmitted
to a screen rather than through the use of
fibreoptics. However, it is a single use device, so
waste is increased and the image quality is infe-
rior to a fibreoptic scope.
There are few absolute contraindications to
AFOI, however a uncooperative patient will
make attempts at that method pointless. As it is
a more specialised method of intubating,
untrained staff also precludes AFOI. Near total
airway obstruction (unless used for diagnostic
purposes) is also a contra-indication, as would
an allergy to local anaesthetics (Hagberg 2018).
4.2.12 Videolaryngoscopes
While rigid fibreoptic laryngoscopes were
initially considered a niche development, they
introduced the world of anaesthetics to the
concept of videolaryngoscopes. These devices,
however, remained fairly peripheral following
their invention, as flexible fibreoptic
bronchoscopes were by far the most popular
devices for difficult airways. The trusted Macin-
tosh laryngoscope was used for patients with
“regular”airways.
The popularity and availability of the videolar-
yngoscope increased significantly from the early
2000s due to yet more technological
advancements. The significant draw backs of the
rigid indirect fibreoptic laryngoscopes discussed
were the significant cost of the fibre-optics, as
well as their bulky size. A Macintosh laryngo-
scope was easily transportable in the users’
pocket, whereas the fibreoptic scopes were less
portable, especially if being used with a screen
(Chemsian et al. 2014).
The invention and availability of LCD (liquid-
crystal display) screens, LED (light-emitting
diode) lights, and CMOS (complementary
metal-oxide semiconductor) video chip technol-
ogy which are utilised in modern videolaryn-
goscopes has made these devices much cheaper,
portable, and easier to use (Hagberg 2018).
Videolaryngoscopes tend to be categorised
according to the shape of their blade. These
categories are “Macintosh style blades”, and
“acute angulated blades”. There often is a third
category of videolaryngoscopes added which is
“channelled devices”(Chemsian et al. 2014).
4.2.13 Macintosh Style Blades
These devices integrate video technology onto a
modern Macintosh-styled laryngoscope. They
have the added advantages of familiarity of
blade shape, as well as being able to use the
device for direct laryngoscopy if there was a
failure with the video technology.
The Mcgrath laryngoscope is a portable
videolaryngoscope, which is battery powered
and has a small adjustable screen attached to the
handle. It comes with the standard Macintosh
sizes of disposable blades from 0 (baby) to size
4 (large adult). It also comes with an X-blade,
which is an acute angulation blade for difficult
airways, making the Mcgrath an all-round
videolaryngoscope (Shippey et al. 2008).
76 D. King and A. Blair
Due to its significant advantages of relatively
low cost and portability, it has become the most
widely utilised videolaryngoscope (Niforopoulou
et al. 2010).
The C-MAC, which was produced by
Storz medical, was the first videolaryngoscope
to be widely commercially available. It also
consists of a Macintosh laryngoscope with an
incorporated video technology. It differs from
the Mcgrath laryngoscope, in that the handle of
the laryngoscope is attached to a distant larger
screen via a cable. This provides the advantage
of everyone in the room being able to see the view
which helps in situations of teaching as well as
patients with a difficult airway. The blade of the
C-MAC is interchangeable from an infant to adult
size 4 (Chemsian et al. 2014).
The GlideScope direct was the original
GlideScope design with a metal,
non-interchangeable size 3.5 Macintosh blade.
The handle of the laryngoscope is attached to a
distant monitor, similar to the C-MAC, and the
device can be used for direct laryngoscopy, or
indirect using the video function.
4.2.14 Acute Angulated Blades
Devices that incorporate a more acute angulation
to their blades compared to the standard Macin-
tosh blade. This acute angulation has been seen in
several studies to improve glottic visualisation
with minimal patient c-spine flexion. This has
been seen to be useful in patients with known
difficult airways, and those with an anterior posi-
tioned larynx. The drawback with these acute
angled blades is that while the view is often
improved, passing the endotracheal tube through
the cords is more challenging due to the acute
angulation, and an intubating stylet is usually
required. Another major drawback is they cannot
be used for direct laryngoscopy should the video
equipment fail.
The GlideScope with the acute
hyperangulation blade of 60°, and otherwise has
similar equipment to the non-angulated
GlideScope. It comes with a specifically designed
rigid stylet (GlideRite stylet) for use during
intubating due to the acute angulation of the
blade.
Mcgrath Series 5 is a portable laryngoscope
with the small screen attached to the handle simi-
lar to the standard Mcgrath, however with an
acute angled blade. The blade portion is fully
detachable and its connection position on the
handle can be altered. This clever feature allows
for the blade to be first inserted into the patients’
mouth, then connected to the handle, which is
potentially useful in those obese patients or
those with large breasts (Niforopoulou et al.
2010).
C-MAC D-Blade is an acutely curved version
of the original, produced by Storz medical in
2010. The blade is curved, and functions, in a
similar fashion to the GlideScope, and requires
the use of an intubating stylet (Cavus et al. 2011).
King Vision laryngoscope was only released
in 2017, so is one of the newest devices available.
It has a similar design style to the Mcgrath in that
it has a small screen attached at the top of the
handle and is fully portable. It has two types of
disposable blades, the standard aBlade which is
an acute angle blade, or the channelled blade
(Kriege 2017).
4.2.15 Channelled Devices
These devices use a side channel to direct the
pre-loaded endotracheal tube through the vocal
cords. With the endotracheal tube pre-loaded,
there is no requirement for stylets or gum elastic
bougies to assist with intubation.
The King Vision device as mentioned has an
option of a channelled blade, and so can be
categorised as a channelled device.
The Airtraq device, as discussed earlier in the
chapter, while not strictly a video-laryngoscope,
is often incorrectly categorised as a channelled
videolaryngoscope. While not containing any
video technology, the camera can be attached
to the eyepiece of the device for display on a
screen.
4 The Evolution of Equipment and Technology for Visualising the Larynx and Airway 77
The Pentax AWS is a true videolaryngoscope
with a side channel for guiding of the endotra-
cheal tube. It is portable, with the screen attached
to the handle. The screen displays a target mark
which is aligned with the laryngeal structures, and
the endotracheal tube is then advanced through
the cords. As with all the channelled devices,
when the endotracheal tube is through the vocal
cords, it needs to be “peeled”off the laryngo-
scope in a lateral motion to allow removal of the
device.
4.3 Conclusion
There have been clear and marked improvements
in the available technology used for tracheal
intubations, particularly over the last 40 years.
These improvements are reflected in significant
improvement in adverse outcomes and generally
in patient safety with regard to intubations (Li and
Warner 2009). Awake fibre-optic intubation
quickly became the gold standard for patients
with known or expected difficult airways. There
were pitfalls however, mainly with regard to cost
and requirement of an experienced team in AFOI.
The advent of videolaryngoscopy over the last
20 years has changed the landscape dramatically.
It is now well established that videolaryngoscopy
improves the achievable laryngeal view when
compared to direct laryngoscopy. Numerous
recent studies have shown extremely high rates
of success using Mcgrath (95% success rate)
(Noppens and Möbus 2010), Pentax (95% suc-
cess rate) (Asai et al. 2010), and GlideScope
(96% success rate) (Aziz et al. 2011) in either
confirmed or suspected difficult airways. The
GlideScope even showed a 94% success rate as
a rescue device following a failed attempt at direct
laryngoscopy. This has been incorporated into
studies, which suggest videolaryngoscopes
showed no benefit when compared to direct lar-
yngoscopy on patients with regular “easy”
airways.
So, with videolaryngoscopy being as effective
in “routine”airways, and clearly superior in diffi-
cult airways the expectation may be that
videolaryngoscopy continues to proliferate in
popularity and will in time fully displace direct
laryngoscopy as the primary method of endotra-
cheal intubation. Given that videolaryngoscopy
has a clear benefit over direct laryngoscopy in
teaching, due to the potential for a shared view
between teacher and trainer, as well as its use in
awake patients (using local anaesthetics and acute
angulation blades), then that time may be not too
far in the future.
References
Asai T, Liu E et al (2010) Use of the Pentax-AWS in
293 patients with difficult airways. Anesthesiology
110:898–904
Aziz MF, Healy D et al (2011) Routine clinical practice
effectiveness of the GlideScope in difficult airway
management: an analysis of 2,004 GlideScope
intubations, complications, and failures from two
institutions. Anesthesiology 28:34–41
Bailey B (1996) Laryngoscopy and laryngoscopes—
who’sfirst?: the forefathers/four fathers of laryngol-
ogy. Laryngoscope 106:939–943
Borland LM, Casselbrant M (1990) The Bullard laryngo-
scope —a new indirect oral laryngoscope. Anaesth
Analg 70:105–108
Bowen RA, Jackson I (1952) A new laryngoscope. Anaes-
thesia 7:254–256
Burke CM (2004) A historical perspective on use of the
laryngoscope as a tool in anesthesiology. Anaesthesi-
ology 100:1003–1006
Cavus E, Neumann T et al (2011) First clinical evaluation
of the C-MAC D-blade videolaryngoscope during rou-
tine and difficult intubation. Anaesth Analg 112:382–
385
Chemsian RV, Bhananker S, Ramaiah R (2014) Videolar-
yngoscopy. Int J Crit Illn Inj Soc 4(1):35–41
Collins S (2014) Direct and Indirect laryngoscopy: equip-
ment and techniques. Respir Care 59(6):850–864
Gabuya R, Orkin L (1959) Design and utility of a new
curved laryngoscope blade. Anaesth Analg 38:364–
369
Griffith HR, Johnson G (1942) The use of curare in general
anaesthesia. Anesthesiology 3:418–420
Hagberg CA (2018) Hagberg and Benumof’s airway man-
agement, 4th edn. Elsevier, Philadelphia
Hirsch NP, Smith GB, Hirsch PO (1986) Alfred Kristein -
pioneer of direct laryngoscopy. Anaesthesia 41:42–45
Huffman JP (1968) The application of prisms to curved
laryngoscopes: a priliminary study. Anaesthesia 36:
138–139
Isaacs RS, Sykes J (2002) Anatomy and physiology of the
upper airway. Anesthesiol Clin North Am 20:733–745
78 D. King and A. Blair
Jephcott A (1984) The Macintosh laryngoscope. Anaes-
thesia 39:474–479
Kastnelson T, Straker T (1996) The Bullard laryngoscope
and a “directional tip”RAE tube. J Clin Anesth 8:80–
81
Kriege M (2017) Using King Vision video laryngoscope
with a channeled blade prolongs time for tracheal intu-
bation in different training levels, compared to
non-channeled blade. PLoS One 12(8):e0183382
Levitan RM, Ochroch E (1999) Explaining the variable
effect on laryngeal view obtained with the McCoy
laryngoscope. Anaesthesia 54:599–601
Li G, Warner M (2009) Epidemiology of anesthesia
related mortality in the United States, 1999–2005.
Anesthesiology 110:759–765
Macintosh RR (1943) A new laryngoscope. Lancet 1:205
Macintosh RR (1944) Laryngoscope blades. Lancet 1:485
Macintosh RR, Bannister F (1943) Essentials of general
anaesthesia, 3rd edn. Blackwell Scientific Publications,
Oxford
Magill I (1926) An improved laryngoscope for
anaesthetists. Lancet 207:500
Magill I (1930) Technique in endotracheal anaesthesia. Br
Med J 2:817–819
McCoy EP, Mirakhur R (1993) The levering tip laryngo-
scope. Anaesthesia 48:516–519
McCoy EP, Mirakhur R (1995) A comparison of the stress
response to laryngoscopy. Anaesthesia 50:943–946
McMorrow RC, Mirakhur R (2003) A new mirrored laryn-
goscope. Anaesthesia 58:998–1002
Miller RA (1941) A new laryngoscope. Anaesthesiology
2:317–320
Moon JS et al (2021) Epidemiology of anesthesia related
mortality in the United States, 1999–2005. Anesthesi-
ology 134:936
Niforopoulou P et al (2010) Video-laryngoscopes in the
adult airway management: a topical review of the liter-
ature. Acta Anaesthesiol Scand 54:1050–1061
Noppens RR, Möbus S (2010) Evaluation of the McGrath
Series 5 Videolaryngoscope after failed direct laryn-
goscopy. Anaesthesia 65:716–720
Parrott CM (1951) Modification of Macintosh’s curved
laryngoscope. Br J Med 2(4738):1031
Pearce AC, Shaw S (1996) Evaluation of the upsherscope.
Anaesthesia 51:561–564
Phillips OC, Duerksen R (1973) Endotracheal intubation:
a new blade for direct laryngoscopy. Anaesth Analg
52:691–697
Pieters B et al (2015) Pioneers of laryngoscopy: indirect,
direct and video laryngoscopy. Anaesth Intensive Care
43(Suppl):4–11
Pohunek P (2004) Development, structure and function of
the upper airways. Paediatr Respir Rev 5:2–8
Pope ES (1960) Left handed laryngoscope. Anaesthesia
15:326–328
Raez GB (1984) Improved vision modification of the
Macintosh laryngoscope. Anaesthesia 39:1249–1250
Roberts JT et al (1994) Clinical management of the airway.
WB Saunders, Philidelphia
Roth YK (2008) A brief history of tracheostomy and
tracheal intubation, from the Bronze age to the space
age. Intensive Care Med 34:222–228
Rowbotham S (1920) Intratracheal anaesthesia by the
nasal route for operations on the mouth and lips. Br
Med J 2:590–591
Rowbotham S, Magill I (1921) Anaesthetics in the plastic
surgery of the face and jaws. Proc R Soc Med 14:17–
27
Scott J (2009) How did the Macintosh laryngoscope
become so popular? Paediatr Anesth 19(Suppl 1):
24–29
Shippey B, Ray D, McKeown D (2008) Use of the
McGrath videolaryngoscope in the management of
difficult and failed tracheal intubation. Br J Anaesth
100:116–119
Siker ES (1956) A mirrir laryngoscope. Anaesthesiology
17:38–42
Soper RL (1947) A new laryngoscope for anaesthetists. Br
J Med 1:265
Strandring S et al (2015) Gray’s anatomy: the anatomical
basis of clinical practice. Elsevier, London
Tuckey JP, Cook TM, Rander CA (1996) An evaluation of
the levering laryngoscope. Anaesthesia 51:71–73
Wu T, Chou H (1994) A new laryngoscope: the combina-
tion intubating device. Anaesthesiology 81:1085–1087
Technology has allowed the capture of the
The Impact of Technological Innovation
on Dentistry 5
Richard Zimmermann and Stefanie Seitz
Abstract
Technology has revolutionized the way
dentists are able to treat their patients. These
technological advances have paved the way
for the creation of virtual patient models
utilizing these 3-dimensional intra-oral patient
models, cone bean computer tomography
(CBCT) radiograph scans, extraoral
3-dimensional scans, and jaw motion tracings
to create a patient-specific model. These
models are advantageous in planning surgical
treatments by providing 3-dimensional views
of vital anatomical structures to accurately
identify the location, size, and shape of a struc-
ture or defect in order to plan accordingly.
Virtual augmentation of either hard tissue
(bone) and/or soft tissue (i.e., gingiva) can
also be accomplished.
dynamic motions of the jaw and combined
them with the virtual patient to develop perma-
nent restorations in harmony with the patient’s
orofacial complex. With the introduction of
new technology in the realm of digital den-
tistry, patient care is being brought to a new
and higher level. This creates a level of more
optimal care that a dentist can deliver to
patients.
R. Zimmermann · S. Seitz (✉)
Department of Comprehensive Dentistry, UT Health San
Antonio, San Antonio, TX, USA
e-mail: zimmermann@uthscsa.edu;seitz@uthscsa.edu
#The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
E. Abdel Meguid et al. (eds.), Biomedical Visualisation, Advances in Experimental Medicine and
Biology 1406, https://doi.org/10.1007/978-3-031-26462-7_5
79
Keywords
Digital dentistry · 3-dimensional model ·
Virtual model · Virtual patient · Patient-
specific model · Jaw movement tracing
5.1 Introduction
Advances in the area of digital dentistry have
propelled the profession of dentistry into a
completely new era. Historically, impressions of
patients’teeth were taken using an alginate mate-
rial and poured in dental stone to create models.
These models were then utilized, along with
2-dimensional radiographic images, to evaluate
bony structures. However, dentists now use
wands that intraorally scan the patient and are
able to create 3-dimensional virtual models of
the patient’s teeth. These 3D models from the
scan allow for the beginning of the creation of
virtual patients—both general models for educa-
tional use and patient-specific models (Joda et al.
2019). The creation of these comprehensive
patient models can be accomplished with the
combination of any number of components,
including 3-dimensional intra-oral patient models
or surface scans, cone bean computer tomography
(CBCT) radiograph scans, 3-dimensional
extraoral scans, and jaw motion tracings.
Definitive advantages are associated with
these patient-specific models when planning vari-
ous surgical treatments because they are able to
provide the dentist with 3-dimensional views
of vital anatomical structures that may have not
been able to be visualized on a traditional
2-dimensional radiograph. An enormous benefit
associated with these new 3-dimensional views is
that the models are to scale, allowing the surgeon
to plan treatment effectively by providing
enhanced accuracy in identifying the location,
size, and shape of a structure or defect. Whether
planning surgery on the maxilla (upper jaw) or
mandible (lower jaw), the surgeon must be cogni-
zant of the vital structures, such as blood vessels
and nerves, that are located in these areas. If these
structures are injured, it could result in extreme
and/or prolonged harm to the patient. The knowl-
edge of the location of these defects enables the
surgeon to alter the plan to be able to lessen the
effects the defect can have on the surgery. For
example, one can virtually examine the complex
anatomy of a sinus, location of various septa, and
various neurovascular bundles of a patient prior
to performing the actual surgical procedure. This
translates into decreased surgical time as the sur-
geon is more familiar with the patient’s anatomy
prior to beginning the procedure. The need for
virtual augmentation of either hard and/or soft
tissue during a surgery can also be determined
based on these virtual models, along with the
ability of the surgeon to attain an accurate mea-
surement of the amount of grafting material that
will be utilized for the surgery.
80 R. Zimmermann and S. Seitz
In the area of restorative dentistry, the ability
to conduct a 3-dimensional oral reconstruction of
the patient’s dentition is incredibly useful. This is
accomplished by combination of intra-oral scans,
facial photographs, and 3D radiographic images
to create a “virtual model”of a patient. These
virtual models allow the development of perma-
nent restorations that are in harmony with the
patient’s orofacial complex—both esthetically
and functionally. Specifically in esthetic den-
tistry, the virtual patient enables the dentist to
evaluate the shape and position of the patient’s
teeth relative to their facial structure and create a
virtual simulation of proposed restorations
(Garcia et al. 2018). This virtual mock-up is
incredibly useful for communication between
the patient, dentist, and laboratory technician.
Historically, the fabrication of dental restorations
was created on an analog articulator—a mechani-
cal device on which the dentist would mount
upper and lower jaw models to simulate the
patient’s functional jaw movement. However,
this device is limited by linear movements, so it
does not completely model the patient’s function
because jaw movement occurs in multiple planes.
Nowadays, technology has allowed us to capture
the dynamic motion of the jaw and combine it
with the virtual patient to design patient-specific
restorations that are in synergy with the patient’s
actual jaw movements (Lepidi et al. 2020).
A promising area emerging in digital dentistry
is the utilization of diagnostic imaging of a
patient’s airway to aid in the diagnosis and treat-
ment of sleep apnea which affects approximately
1 billion people worldwide. Therefore, develop-
ment of these new technologies, both hardware
and software, in the realm of digital dentistry, is
bringing patient care to a new and higher level.
This tremendously facilitates the role of the den-
tist in providing more optimal care that a dentist
can deliver to their patients.
5.2 Creating the Virtual Patient
The creation of a virtual patient begins with a scan
of the patient’s teeth using the digital impression
system. The scan renders a 3-dimensional virtual
model of the teeth that can be created in two
different ways. The first way involves scanning
the traditionally made stone models with either a
laboratory scanner or intra-oral scanner (IOS),
while the second way involves directly scanning
the patient’s oral cavity with the utilization of an
intra-oral scanner (Fig. 5.1).
Intra-oral scanning (IOS) has several distinct
advantages over the conventional impression
materials and techniques (Marques et al. 2021;
Rutkūnas et al. 2017). For patients, IOS provides
less discomfort by eliminating the need for
impression trays loaded with a considerable
amount of impression material that tends to elicit
the gag reflex which is overall unpleasant. The
second advantage which patients enjoy is the
decreased amount of time needed for the
3-dimensional model. An experienced clinician is
able to complete a scan in just a few minutes. For
the clinician, digital impressions allow for a
cleaner, faster, and more accurate representation
of the patient’s oral cavity. Utilizing the tradi-
tional method requires mixing and pouring dental
stone into the impression, along with a period of
time in which the dental stone must be set. After
which, trimming and cleaning the models are
needed. Also, legally, dentists are required to
keep patient models for a specific number of
years depending on where their practice is located
because they are considered a part of the patient
record. Virtual models facilitate this requirement
by allowing the models to be stored virtually and
not requiring an actual physical space. This is a
considerable benefit to those clinicians with
thousands of patients in their practices.
5 The Impact of Technological Innovation on Dentistry 81
Fig. 5.1 Intra-oral scan of patient capturing both hard
(teeth) and soft (gingiva) tissues. Color is picked up by
the scanner
Intra-oral scanners are handheld devices that
typically consist of a wand with a camera in the
tip. The wands are moved to capture all angles of
the patient’s teeth, taking hundreds of pictures as
it progresses. The ability to scan is easily accom-
plished and dentists find that there is a short
learning curve associated with it. While the tech-
nology used in these scanners varies, the result of
the pictures is a 3D mesh created from a point
cloud using a mathematical algorithm. This 3D
mesh is the virtual model of the patient’s dental
arch, capable of capturing both hard and soft
tissue (Fig. 5.2).
Intra-oral scanners are most often used to scan
a patient’s oral cavity while the individual is
sitting in the dental chair, which is the reason
they are often referred to as chairside scanners.
There are numerous scanners on the marker with
features that target different types of users. Some
of these scanners employ the technology that also
allows the capture of various shades and colors of
the anatomical structures and embeds that infor-
mation in the 3D mesh, creating life-like
recreations of the patient’s intra-oral cavity
(Haddadi et al. 2019). This colored mesh is an
advantage over the monochromatic lab scanners
because it allows for the visualization of a more
realistic virtual model of the patient, which can
aid in some diagnostic procedures.
Fig. 5.2 Intra-oral scan of patient illustrating the point
cloud that actually makes up virtual models
Chairside scanners embed 3-dimensional posi-
tioning coordinates into the digital scans during
the scanning process (Fig. 5.3). These coordinates
provide the relationship of the maxilla, to that of
the mandible, whenever the scans are viewed in
the software. However, this captured relationship
between the dental arches is static and only
represents when the two jaws are biting together
fully. While this is useful and might be all that is
necessary for some applications (for example—
smile analysis), other applications require the
dynamic movement of the mandibular arch with
respect to the maxillary arch (ex—fabrication of
nightguard for teeth grinding or a crown). Some
intra-oral scanners claim to capture this dynamic
movement; however, these scanners are only cap-
turing the beginning and end, which results in a
straight line of movement. This is not a true
representation of the human body and the move-
ment of the temporo-mandibular joint, which is
more fluid and more curvilinear in nature
(Clayton et al. 1971).
82 R. Zimmermann and S. Seitz
Fig. 5.3 Implant planning software demonstrating the integration of virtual models (blue) to the CBCT to facilitate
planning
5.3 Utilization
of the 3-Dimensional Model
Cone-beam computed tomography (CBCT) is a
radiographic imaging technique that utilizes
round or cone-shaped x-rays to capture numerous
images as the scanner rotates around the patient.
This type of image creates certain advantages
over traditional 2D radiographs, including the
elimination of image magnification, overlapping
of anatomical structures, and image distortion.
These images are saved as Digital Imaging and
Communications in Medicine (DICOMs) files,
which consist of a collection of voxels—the unit
of graphic information that defines a point in three
dimensions. This radiographic imaging method
provides an accurate, 3-dimensional model of
hard tissue structures that is accomplished
through either “surface”or “volume”rendering.
Surface rendering utilizes gray scales of the
CBCT to create the model. The model can be
used for digitalization of 3D landmarks; it also
can be aligned with other 3D meshes, and even
enables the user to plan virtual osteotomies or
bone removal surgery. Volume rendering creates
the model by using the volume of voxels, to
which parameters are set based on the shading
algorithms. The disadvantage of this method is
the inherent inability to perform virtual surgeries
or the lack of the ability to align the model with
other 3D meshes. The utilization of CBCT scans
has become quite widespread and essential in
dentistry in all disciplines. Not only are they
used for diagnosis and treatment planning, but
also for the creation of detailed patient-specific
models and surgical guides (Baan et al. 2021).
For oral and maxillofacial surgery, the use of a
CBCT allows for the determination of the precise
location of anatomical features, such as
neurovascular bundles and tumors, as well as
impacted and supernumerary teeth. For Endodon-
tics, a specialty that focuses on teeth requiring
root canals and their associated pathologies,
CBCTs allow for the differentiation of apical
pathologies, visualization of fractured teeth, and
visualization of complex root morphology. For
periodontics, CBCTs can aid in the diagnosis of
furcation involvement due to bone loss, bone
defects around teeth, pathologies, and periodontal
cysts. The primary use of CBCTs in orthodontics
is to aid in assessing age, adolescent facial
growth, and disruptions in tooth eruptions.
CBCTs have created one of the largest impacts
in implant dentistry. The technology allows for
the measurement of the patient’s bone height and
width. It also enables localization of important
anatomical structures in the area of the planned
implant placement, as well as provides the capa-
bility to assess the need for additional surgical
procedures such as bone grafting.
5 The Impact of Technological Innovation on Dentistry 83
As in all radiographs, any metal present in the
oral cavity like amalgams (silver fillings), crowns,
or existing implants can create radio-opacities.
These radio-opacities result in the decreased qual-
ity of the CBCT due to masking and distorting of
the anatomical structures and tooth morphology
being evaluated for diagnosis on the X-ray. Sev-
eral methods exist to decrease the amount of
scatter and improve the CBCT scan, however,
these do not help restore accurate morphology if
it has been distorted. To overcome discrepancies
within the oral cavity related to scatter, certain
software allows the merging, or fusion, of a
patient’s CBCT DICOMs with their
3-dimensional digital model created by the intra-
oral scan (Fig. 5.4).
This fusion creates an accurate 3-dimensional
model of the patient’s oral cavity, replicating both
hard and soft tissue in both radiographic and
dental model forms. In addition to the creation
of this fused virtual model of the oral cavity,
certain specialty areas of dentistry also require
the ability to relate the oral cavity with external
landmarks and features of the patient’s face. This
is of key importance when performing esthetic
reconstructions either through oral and
maxillofacial surgery or with dental restorations.
The simplest and most common approach at this
time is to align the intra-oral digital models to a
2-dimensional photograph of the patient. While
this accomplishes the goal of enabling the use of
facial features in treatment planning and restora-
tion design, there are inherent limitations.
Fig. 5.4 Patient stone models being mounted onto
articulator
The first limitation, and the one with the larg-
est impact, relates to the alignment of a
3-dimensional dental model to a 2-dimensional
object, the patient photograph. Malalignment of
the patient models can result in a tilt of the occlu-
sal plane, the plane of the chewing surfaces of the
teeth, compared to the patient’s true occlusal
plane. This will have a negative influence on the
esthetic reconstruction which may not be possible
to recognize until treatment is rendered. For this
reason, this method is primarily used in esthetics
involving dental restorations; the proposed design
can be fabricated in temporary restorations,
allowing the dentist to identify the issue and cor-
rect it before proceeding to the fabrication of the
final restorations. A second limitation is the abil-
ity to only view this type of virtual reconstruction
from the anterior, or front. One cannot rotate the
model to view from different angles due to the
constraints inherent with a 2-dimensional photo-
graph. The ability to rotate the images through
various viewpoints could be an advantage as it
would help evaluate the reconstructions in a more
realistic 3-dimensional environment.
84 R. Zimmermann and S. Seitz
In order to overcome these limitations
associated with 2-dimensional photographs,
3-dimensional scans of a patient’s head can be
obtained utilizing specialized equipment and can
be accomplished by two methods. The first
method involves the integration of a facial scan-
ner within a CBCT machine. This method accu-
rately relates the 3-dimensional head scan to the
patient’s DICOMs, which can then be aligned to
intra-oral digital models. There is a limitation
associated with this method. It requires the patient
to obtain a full CBCT of the maxillofacial region,
which may be unnecessary if the patient is not
going to have any surgical procedures and results
in more radiation exposure than needed for the
patient. The second method involves the use of a
“handheld”scanner that captures a photorealistic
3-dimensional image of the patient’s head. For
alignment, additional scans are needed which
incorporate specialized markers that allow for
the accurate alignment to the 3-dimensional facial
scan. This method involves several more steps in
order to achieve optimum alignment but does not
expose the patient to unnecessary radiation.
While each of these methods has advantages and
disadvantages, both result in a 3-dimensional
model of the patient that can be viewed from
any angle, both with and without facial features.
This provides the dental provider an accurate and
more complete virtual patient model that allows
for comprehensive diagnosis and treatment
planning, something that had not previously
existed. It also leads to enhanced interdisciplinary
communication among various providers.
These virtual models discussed above are gen-
erally excellent tools for certain diagnosis and
treatment planning, interdisciplinary communica-
tion, and help keep a record of the patient as they
are presented in the dental chair. However, the
majority of dental treatment takes place in the
stomatognathic system, a functional environment
that is composed of skeletal structures, muscles of
mastication, the temporomandibular joint, and the
dental arches (maxillae/mandible). This system is
an incredibly dynamic environment, meaning it is
in motion for most of its various functions—
speaking, chewing, parafunctional habits, etc.
(Peck 2016).
From the simplest restorations to complex full-
mouth rehabilitations, this dynamic jaw move-
ment must be taken into consideration, otherwise
it could lead to the failure of the restoration(s).
While simple dental restorations (i.e.—fillings)
are easily done directly in the mouth and, there-
fore, adjusted to this dynamic movement
intraorally, more complex restorations (i.e.—
crowns) are created indirectly on the patient’s
dental models. Traditional methods consisted of
these restorations being fabricated on stone dental
models of the patient’s upper and lower arches
which were mounted on a dental articulator
through the utilization of a facebow record.
A facebow (Fig. 5.5) is an intra-oral dental
device that records the position of the patient’s
arches and then translates that position to the
articulator. Articulators can range from simple to
fully adjustable models, but all share the same
limitation—they are mechanical devices, which
are limited in the range of motion they can mimic
because of the dynamic and non-linear movement
of the lower arch.
In today’s world, digital workflows for the
fabrication of dental prostheses can also generate
basic mandibular movement. This is accom-
plished by the movement of the surface scan, or
3-dimensional model, of the mandible in a direc-
tion (right, left, forward) along a flat plane that
exists between the maxilla and mandible. When
the mandibular scan collides with the maxillary
5 The Impact of Technological Innovation on Dentistry 85
Fig. 5.5 Digital pathways of mandible being illustrated with virtual models in design software illustrated by the black dots
scan, the software will continue to move the scan
but make adjustments that eliminate the intersec-
tion of the scans. This movement mimics intra-
oral mandibular movement in that it replicates
tooth-guided movement. However, the generation
of this movement fails to consider the influence of
the neuro-musculature system. To counteract this
issue, specialized extraoral systems have been
developed that capture the dynamic motion of
the mandible (Kwon et al. 2019). These systems
vary in the way data is captured but are consistent
in that the dynamic motion is transferred into the
design software. This allows the software to
mimic the actual movement of the patient’s man-
dible, with all factors included. Deviations,
non-linear pathways, and other 3-dimensional
movements can be recreated within the software,
eliminating the solely mechanical movements
associated with mechanical articulators (Fig. 5.6).
86 R. Zimmermann and S. Seitz
This digital workflow is comprised of digital
versions of the facebow and articulator. In order
to capture the movement of the jaw, sensors are
attached to the patient’s head that act as a digital
facebow. The first step is registering the maxilla
to the sensors, and then registering it to the
mandible.
Fig. 5.6 Sensors embedded in the cranial apparatus are
used to track sensors located in the mandibular apparatus,
which is attached to the patient’s teeth
After this is completed, the patient is instructed
to move their mandible through specific
positions, during which the sensors record the
3D movement pathway of the mandible. This
data is imported into specific software that allows
the user (either clinician or dental technician) to
accurately replicate the patient’s actual curvilin-
ear jaw motion with the patient’s mandibular
virtual model. This allows the user to evaluate
the mandibular path of movement as it relates to
maxillary arch and recognize “interferences”or
occurrences where the movement is limited,
between the teeth of the opposing dental arches.
This technology can be used in combination with
CBCT to diagnose temporomandibular joint dis-
order, or TMD (Liao 2021). Evaluation of the jaw
movements, along with the analysis of both the
shape and wear in the condyle and fossa of the
joint, can aid the dentist in diagnosing the causes
specific for each patient to determine the most
effective treatment for that individual. The ability
to record and analyze a patient’s actual mandibu-
lar movement is important in the evaluation of
temporomandibular jaw disorders and the ability
to track them over time. More research is cur-
rently needed in this area, but it indicates huge
potential for this field of dentistry.
The digital applications described above are
being routinely done today for the creation of
dental restorations. Clinicians are also using
these 3-dimensional virtual models to better eval-
uate and discuss treatment options, with their
patients and other oral health care providers.
The intra-oral scan is the simplest and most
basic 3D model of a patient, and it is also the
foundation upon which other technologies can be
utilized.
A limitation that currently exists with digital
dental technology is the inability to create a
patient model that combines all of the various
digital scans into one virtual model that is able
to mimic the dynamic movement of the patient’s
extraoral soft tissue during mandibular movement
that is smile, or any other facial animation. This
type of virtual model would prove incredibly
beneficial and would have the greatest impact in
the area of esthetic dentistry and smile design.
These two areas require the analysis of a patient’s
animated lip line to be able to achieve the optimal
esthetic outcomes for the patient.
5 The Impact of Technological Innovation on Dentistry 87
So far in this chapter, it has been explained
how a patient-specific model for dentistry is cre-
ated, including the advantages and disadvantages
of the pathways and the limitations of these vir-
tual models. The use of virtual models is easily
appreciated in reference to the fabrication of vari-
ous dental prostheses due to the fact that they are
a replacement for traditional stone models. How-
ever, there are numerous other ways in which
these virtual models are being used in general
dentistry and the various dental specialties that
warrant discussion in further detail.
5.4 Virtual Model Utilization
in Oral Maxillofacial Surgery
One of the areas that benefits the most from these
virtual models is oral maxillofacial surgery,
which was first discussed at the beginning of the
chapter. From orthognathic jaw surgery to
implant surgery, virtual models have become
mainstream in the diagnosis and treatment
planning for these surgeons (Otranto de Britto
Teixeira et al. 2020). Orthognathic surgery is
used to correct deformities in the upper or lower
jaw and the associated incorrect positioning of the
teeth. To do this effectively, the surgeon utilizes a
specialized software that allows the user to simu-
late various osteotomies (ex-sagittal split or verti-
cal ramus osteotomy) on the virtual model while
taking into consideration the patient’s specific
anatomical structures. For example, when
planning mandibular osteotomies with a virtual
model, the user is able to virtually track the infe-
rior alveolar canal (IAC), a canal that houses an
important neurovascular bundle, and creates a
mesh of the pathway as it goes through the length
of the lower jaw. This mesh provides the user a
3-dimenional view of the IAC pathway, allowing
for more precise planning to avoid the vital
structures within. This is incredibly important
because any damage to the inferior alveolar
nerve can cause symptoms including: numbness,
pain, burning or tingling in the lips, chin, and
gums; drooling; or impaired speech. In addition,
once the virtual osteotomies are performed, the
sections can be repositioned and allows for a
virtual generation of the model that depicts the
proposed surgical outcome.
In addition to creating a virtual rendering of
the final surgical results of osteotomies, surgeons
are able to use certain specialized software to
predict the soft tissue and hard tissue outcomes
of orthognathic surgery. The software utilizes
databases of documented cases to predict the
soft tissue outcome based on the hard tissue
changes. It has been shown that the predicted
outcome for hard tissue changes is reasonably
accurate, within 1 mm of the actual surgical
outcomes. However, the predictions for soft tis-
sue outcomes are more varied with the greatest
area needing improvement being the region
around the lower lip.
5.5 Virtual Model Utilization
in Orthodontics
In the area of orthodontics, the use of lateral
cephalometric analysis via a 2D image more
widely used over CBCT due to the reduced
amount of radiation exposure to the patient. How-
ever, there are certain cases when the CBCT and
3D visualization are superior for diagnosis and
treatment planning. The primary advantage in 3D
visualization is due to the inherent issue with 2D
radiographic images; the fact that impacted teeth
are superimposed over the other anatomical
structures, and it is difficult to ascertain the
exact position or impact on the tooth or
anatomical structure. The 3D models allow com-
plete visualization of these areas (Baan et al.
2020).
One of these cases involved the impaction of
maxillary canines, which are the second most
commonly impacted tooth, after third molars
(wisdom teeth). Impacted teeth are teeth in
which tissue, bone, or another tooth has prevented
it from reaching its normal position in the mouth.
The surgical exposure of these teeth is one of the
most common indications for CBCT imaging in
orthodontics. In this type of case, the virtual
model improves the treatment planning by
allowing visualization of the precise location in
the arch, including the proximity to adjacent teeth
and other vital structures. In addition, it allows for
a more accurate evaluation of the tooth follicle
and enables the assessment and extent of any
existing adjacent tooth resorption. This visualiza-
tion enables the orthodontist to better plan the
surgical access, orthodontic bracket placement,
and extrusion path for the impacted tooth, which
results in a better outcome for the patient.
88 R. Zimmermann and S. Seitz
Supernumerary teeth are extraneous teeth that
can develop anywhere in a person’s mouth. The
most common area for these teeth to be found is in
the anterior maxillae and they can be difficult to
differentiate from normal dentition. These teeth
are usually impacted or unerupted. Virtual models
allow the orthodontist to precisely locate the teeth
and determine their true morphology. This is
important as it will aid in treatment planning and
help determine whether the teeth are retrievable
and able to be retained or if they need to be
extracted.
5.6 Virtual Model Utilization
in Endodontics
In dentistry, endodontics is the area that focuses
on the dental pulp, the roots of teeth, and the
tissue surrounding the roots. The majority of end-
odontics revolves around the treatment of the root
canals of teeth. Root canal morphology is a com-
plex three-dimensional structure that varies
between teeth and is even found to be distinct
within certain populations. Maxillary molars
present with numerous variations that challenge
even the most experienced endodontist. Tradi-
tional 2-dimensional radiographs are the most
widely used method to diagnose and treatment
plan endodontic therapy, however, these images
provide limited information and are influenced by
X-ray angulation, the overlapping of anatomical
structures, and contrast. For these reasons, the use
of CBCT has been shown to be incredibly useful
for complex cases.
The ability of a clinician to navigate through a
3D image of a tooth allows for better visualization
and, therefore, a better understanding of the root
canal morphology (Shah and Chong 2018).
Curves, accessory canals, and even fractures of
the root can be seen from different angles,
allowing the clinician to better diagnose, plan,
and provide treatment for the patient. It has also
been used to help differentiate between endodon-
tic and non-endodontic pathologies. Emerging
dental software allows the user to virtually plan
endodontic treatment by identifying anatomical
abnormalities, calculating exact measurements,
and choosing which instruments should be used
prior to the actual treatment. Currently, the main
drawback in using CBCT and virtual modeling
for endodontics lies with the amount of radiation
exposure, which is higher than the conventional
2D radiographs. For this reason, the use of CBCT
in endodontics is only recommended for complex
cases at this time.
5.7 Virtual Model Utilization
in Implant Dentistry
Dental implantology involves the combination
two different areas of dentistry—surgery and
prosthetics—to provide treatment for a patient.
This treatment can range from a simple, single-
tooth replacement to full arch reconstruction
supported by numerous dental implants. For any
case, accurate placement is essential to achieve
optimal esthetic and functional prosthetic
outcomes. However, patient anatomy may limit
the proposed location of the implant, requiring
additional planning or even a completely different
approach (Kernen et al. 2020).
The first step in digital treatment planning of a
dental implant is the acquisition of surface scans
of the patient. For dentate patients, this is accom-
plished with the use of an intra-oral scanner, as
discussed previously. Edentulous patients,
however, are more complex as soft tissue can be
more challenging to capture and does not exhibit
adefinitive shape like hard tissue due to its mobil-
ity. For this reason, there are distinctive and dif-
ferent pathways to create virtual models for
dentulous and edentulous patients.
5 The Impact of Technological Innovation on Dentistry 89
For edentulous patients, a well-fitting remov-
able prosthesis (denture) is required—one that is
well adapted to the patient’s soft tissue. At the
CBCT scanning appointment, fiduncles
(specialized small metal spheres for use in
CBCT). are attached to the patient’s current pros-
thesis. The patient is then scanned with the
modified prosthesis in place. Subsequently, the
prosthesis itself is scanned separately while sit-
ting on a CBCT table. Afterwards, the CBCT
scan of the patient wearing the prosthesis and
the prosthesis alone are imported into a specific
dental implant planning software that utilizes arti-
ficial intelligence to align the patient CBCT to the
prosthesis CBCT using the fiduncles. The soft-
ware will take the prosthesis CBCT scan data and
create a virtual replica (mesh) of the prosthesis.
The position of the prosthesis to the patient’s hard
tissue is accomplished by the alignment of the
fiduncles. The next step in the software is to
create a virtual mesh of the soft tissue by reverse
engineering the tissue side of the prosthesis. Once
completed, a virtual model of the patient’s bone
with overlying tissue mesh is formed (Fig. 5.7).
For both edentulous and dentate patients,
the next step after merging of the surface scans
to the CBCT file comes the actual planning of the
implant case.
Dental implants come in a wide range of
lengths, diameters, and shapes. Historically,
2-dimensional radiographs (panographs), along
with acetate overlays depicting different implant
sizes, were used to plan for surgical placement.
Surgical guides were then fabricated on stone
models that had a diagnostic wax-up of the pro-
posed final restorations. The main limiting factor
with this method was the inability to take the
patient-specific anatomy into consideration
when planning. While some anatomical structures
are visible on 2D radiographic film (ex-inferior
alveolar nerve), others are hidden due to
overlapping of other anatomical structures
(ex-palatal foramen).
For dentate patients, a proposed design of the
prosthesis replacing the missing teeth must be
created. By doing this, the restorative doctor is
conveying to the surgeon the ideal position of the
implant based on the patient’s existing dentition.
This proposal takes into account a number of
factors including the placement of the final resto-
ration with respect to adjacent teeth and opposing
dentition. The goal is to place dental implants in
positions that will support final restorations that
are in harmony with the patients existing denti-
tion and maxillomandibular relationships. Failure
to do this results in a significantly higher proba-
bility of a broken prosthesis and/or failed implant.
Current dental technology supports the virtual
design of the patient’sfinal prosthesis by
allowing the restoring dentist to create a virtual
prosthesis that takes all of these important factors
into consideration and ensures the final prosthesis
is in harmony with the patient’s dentition. Once
completed, the design is integrated into the sur-
face scan and aligned with the patient’s CBCT.
Afterwards, the surgeon can plan and place the
implant in the optimal location using the pro-
posed prosthesis as a reference.
Once the planning for both the prosthesis and
the implant is complete, either in dentate or eden-
tulous patients, a surgical guide can be created
based on the virtual implant plan. Surgical guides
are aids that help the surgeon orient the implant
during the implant surgery to achieve the pro-
posed correct location, depth, and angulation
needed for the prosthesis. Surgical guides can be
utilized in simple, straightforward cases requiring
the replacement of some teeth with implants, or in
more complex cases. Complex cases require more
advanced guides, usually multiple guides for a
single case, which require advanced virtual
modeling techniques to create.
In certain implant rehabilitation cases, an
alveoloplasty (bone reduction) is needed to create
restorative space for the final prosthesis. The
workflow is similar to the ones already stated,
however, during the implant planning phase, the
amount of bone needing to be removed can be
determined based on the restorative components.
90 R. Zimmermann and S. Seitz
Fig. 5.7 Patient intra-oral scan aligned to patient CBCT for implant planning
Once the surgeon virtually arranges the implant
along with the restorative components in place,
the amount of bone needed to be removed can be
measured on the virtual model. Once that amount
is determined, the software will allow the user to
remove and recontour the bone, creating a virtual
bone reduction that gives the surgeon a guide for
what has to be done to accomplish the
alveoloplasty. This workflow is best undertaken
by experienced clinicians who have a thorough
understanding of bone physiology and
remodeling and who can predict the outcome of
the bone reduction surgery. Once this workflow is
completed, the complex surgical guide can be
designed. The original, unaltered virtual model
is used to create the first part of the guide, while
the modified model that has undergone the virtual
alveoloplasty, is utilized to create the bone reduc-
tion and implant placement. While there are
limitations to these complex surgical guides, it
has been shown that the use of these guides
decreases surgical time and improves prosthetic
outcomes, which warrants the time spent
creating them.
5 The Impact of Technological Innovation on Dentistry 91
It is not uncommon for some type of bone
grafting procedure to be necessary in conjunction
with implant placement. While it is difficult to
determine the real-world outcome of virtual
grafting due to various factors, such as patient
health and behavior, virtual modeling allows the
surgeon to predict if grafting is going to be
needed and the amount of graft material that
should be used. It is well established that at least
1.5 mm of bone is needed to surround a dental
implant for successful integration. If it is deter-
mined that the proposed implant location lacks
the 1.5 mm of bone in an area while virtually
planning the implant, the surgeon can plan for
the placement of a bone graft. There are various
types of bone that can be utilized for a bone graft
and the amount of bone grafting needed aids the
surgeon in determining which of these materials
will be the best fit for the specific situation.
An additional area that commonly requires
bone grafting is the maxillary sinus region.
Often, the sinus is located too low for the desired
implant to be completely encased in bone, so
additional bone is placed in the bottom of the
sinus to ensure the implant is fully in bone and
does not protrude into the sinus. It is not uncom-
mon for a sinus lift to be performed at the same
time of the implant placement. This procedure
can also benefit from virtual planning for numer-
ous reasons.
The most common approach for a sinus lift is
to access the sinus through a lateral window that
is surgically cut into the lateral wall of the sinus
and the sinus membrane is carefully elevated
from the floor of the sinus. Once the access is
made, grafting material is then placed below the
sinus membrane and the bone window is
replaced. During the planning phase, a virtual
model can illustrate the position of any septa or
deviation in the internal area of the sinus that
could complicate the surgical approach. More
importantly, the model allows for the visual track-
ing of the posterior superior alveolar artery and
nerve to determine the best approach to avoid
injury. Some implant planning software will
even allow the user to determine a specialized
model of the sinus and calculate the amount of
bone grafting material needed to accomplish the
sinus lift (Fig. 5.8).
This aids in eliminating the unnecessary waste
of bone grafting material by providing the amount
needed. An alternative approach to accessing the
sinus is through the residual crestal ridge of the
jaw. However, for this approach to be successful,
certain anatomical features must be present. For
example, the area must be free of any septa and
have a certain amount of bone thickness
remaining. If not, then the lateral window
approach is recommended. While there has been
many of these surgeries accomplished before
patient-specific modeling, this technology has
helped to better prepare the surgeon and decrease
the surgical time.
Examples of some cases are provided below:
5.7.1 Case Example #1
A patient presented with a removable appliance
(“flipper”) replacing her four anterior teeth. The
patient was happy with the existing esthetics of
the appliance, including the tooth shape and
position of the teeth, but did not like the poor fit
and the fact that it was removable and not a fixed
prosthesis (Fig. 5.9).
92 R. Zimmermann and S. Seitz
Fig. 5.8 The yellow areas outline the patient sinus in this implant planning software which aid in planning of implants in
this region
The patient was interested in obtaining a more
permanent fixed restoration that could mimic her
natural teeth, so she was referred for implant
therapy.
Fig. 5.9 Intra-oral picture of patient wearing their remov-
able appliance
Initially, a traditional panogragh was taken and
a clinical examination of the patient’s maxillary
alveolar ridge was performed. Both the
panogragh and the clinical examination revealed
that the patient had an adequate alveolar height
and the necessary ridge width for the placement
of implants (Fig. 5.10).
The standard of care at this clinic required the
dentist to obtain a CBCT for all patients receiving
dental implant therapy, so the patient was referred
Fig. 5.10 Intra-oral picture of patient without the remov-
able appliance
to the Radiology clinic for the CBCT and
subsequent radiology interpretation. Intra-oral
scans were also taken of the patient’s maxillary
and mandibular arches, along with her existing
removable partial appliance to be used as a diag-
nostic wax-up for the final prosthesis.
5 The Impact of Technological Innovation on Dentistry 93
Fig. 5.11 Virtual model of
patient rendered
from CBCT
Upon interpretation of the CBCT, it was
determined that the alveolar ridge had more
buccal-lingual resorption than what was
initially observed, with alveolar defects due to
previous extractions. It also revealed thin and
immature bone, as opposed to the more solid
buccal cortical plate (Fig. 5.11).
When placing implants, the density and vol-
ume of existing bone are critical for successful
osseointegration. If the existing bone is not ideal,
bone grafting or more advanced surgical
procedures are required. In this particular case, a
virtual model of the patient was created to better
visualize the situation that revealed the true extent
of the bone loss in the anterior region. While
virtual models from CBCT’s are not 100% accu-
rate, they can provide the clinician with a clearer
picture of the clinical situation. Given the anterior
location of the planned dental implants, the
patient’s concern for the most esthetic outcome,
and the amount of bone loss observed, it was
decided to virtually plan the implant case.
The first step was the creation of the virtual
model from the patient’s CBCT. For this case, the
teeth were segmented in the maxillary bone to
better visualize the trajectory of the roots of the
canines (Fig. 5.12).
When segmenting different areas of the model,
it has been found that the ability to assign a
different color to each area and adjust the trans-
parency of each segment are useful tools for the
dentist. These tools allow for better visualization
of the different areas, including bone, roots of the
teeth, etc. It is particularly useful when overlaying
various surface scans that contain multiple
segmentations.
After the CBCT model was completed, the
surface scans (maxillary and mandibular) were
then aligned to it, followed by the scan of the
interim appliance (Fig. 5.13).
For this case, a virtual scan of the face would
have been useful given the importance placed on
esthetics. However, due to the fact that the patient
was happy with the esthetics of the current
removable appliance, it was decided to import a
scan of it to aid in planning. At this point, a
complete virtual model of the patient had been
created within the dental implant planning
software.
The replacement of anterior teeth with dental
implants can be esthetically challenging, espe-
cially with multiple missing teeth complicated
by bone loss. In this case, it had to be determined
whether two implants and a bridge or four
implants with separate crowns would be used to
replace the missing teeth. There are advantages
and disadvantages associated with both, however,
the existing bone architecture and the possibility
of necessary additional procedures must be con-
sidered to achieve the desired outcome.
94 R. Zimmermann and S. Seitz
Fig. 5.12 Virtual model of patient showing segmentation of teeth/roots and proposed implant locations
Fig. 5.13 Virtual model of implant planning showing proposed position of implants (yellow) to the patient’s removable
appliance (light blue)
Once the full virtual model was completed and
the virtual planning of the case had begun, it was
realized that the width of the remaining ridge was
insufficient for the placement of four dental
implants without requiring a large bone graft. It
was also determined that the placement of just
two dental implants at certain positions would
only require a minimal grafting procedure.
5 The Impact of Technological Innovation on Dentistry 95
The ability to place implants in the virtual
model also provides visualization of the neces-
sary implant trajectory. This is important in the
restorative phase of implant therapy as it will
dictate the type of restoration that can be placed.
Therefore, when planning an implant, the desired
restorative plan must be balanced with the avail-
able bone to achieve optimal outcomes. This is
where the scan of the patient’s existing prosthesis
becomes important. By overlaying her appliance
in the virtual model, the clinician can visualize the
effect that the trajectory of the implant will have
on the final prosthesis. In this particular case, it
was determined that the preferred method of res-
toration would not be feasible since the trajectory
emerged from the incisal, or bottom edge of the
teeth. The decision had to be made either to
change the restorative design or perform larger
and more complex grafting techniques. After con-
sulting with the patient and informing her of the
possibilities, she elected not to undergo additional
large surgical procedures and the restorative plan
was changed to accommodate the necessary
implant trajectory. Once the implant size and
position were finalized, a surgical guide was
fabricated to facilitate the planned placement of
the implants into the proposed positions. As with
all implant surgeries, the surgical guide was
fabricated using additive technology
(3D printing) and a specialized biocompatible
sterilizable resin was utilized.
At the time of surgery, a full-thickness perios-
teal flap was created and reflected, which allowed
complete visualization of the alveolar ridge. In
the model, the center point of the ridge appeared
rough and thin—this is usually indicative of thin,
immature bone. While in the photograph the bone
appears to be solid clinically, it was thin and
porous (Fig. 5.14).
As predicted by the virtual model, a small
grafting procedure was needed.
Fig. 5.14 Intra-oral picture showing osseous architecture
after reflection of soft tissue
5.7.2 Case Example #2
When performing prosthetic reconstructions of
patients’dentitions, one must take the mandibular
movement into account, otherwise the
restorations will fail, or the patient will generate
temporomandibular symptoms. In traditional ana-
log workflows, the first step is to obtain a
maxillomandibular relationship utilizing a
facebow. Facebow complexity ranges from sim-
ple to fully adjustable, with the fully adjustable
being the most complex and requiring hours for
an experienced clinician to use. The facebow is
then used to transfer the position of the maxillary
arch to an articulator to represent the patient’s
temporomandibular joint and both upper and
lower arches. The movement allowed by the artic-
ulator depends on the model used—a simple
articulator only allows for an open/close move-
ment, while the fully adjustable models allow for
more complex movements which more accurately
mimic the patient’s jaw movement. However, it is
still a mechanical device that is limited by the
features and build—namely the moving parts are
restricted to flat rails. Therefore, the natural
movement of the mandible is not accurately
reflected. For example, when a patient open and
closes, the mandible may not move in a straight
vertical line but has a deviation to either side
during the movement. This deviation could be the
result of the person’s natural joint, previous
trauma to the joint, or a result of temporomandib-
ular disorder. Due to the lack of movement accu-
racy, the provider will need to perform chairside
adjustments in order to get the prosthesis in har-
mony with the patient’s oral complex. The
amount of time required for these adjustments is
related to the extent/size of the restoration being
done. A single tooth may be five to ten minutes,
while a full-mouth rehabilitation can take several
hours. Additionally, the more accurately the artic-
ulator mimics the natural movement of the
patient, the less time is spent in adjustments at
the time of delivery.
96 R. Zimmermann and S. Seitz
As mentioned earlier, digital technology that
allows for the capture of a patient’s mandibular
movement can be used with surface scans to
create an accurate virtual model of a patient’s
orthognathic system. This model can be used for
numerous diagnostic and therapeutic treatments,
but its biggest advantage lies with the develop-
ment of patient-specific restorations. To create
this type of virtual model, intra-oral scans of the
maxillary and mandibular arches are taken. The
next step is to capture the mandibular movement.
To do this, specialized headgear containing infra-
red cameras is placed on the patient. A sensor is
then used with specialized bite plates to register
the position of the maxillae and then the mandi-
ble. At this point, the same information from the
traditional facebow has been obtained.
The next step in this digital process involves
the attachment of the sensor to the mandibular
biteplate and having the patient perform jaw
movements in a specific order. As the patient
goes through the motions, the infrared cameras
in the headset capture the 3-dimensional move-
ment of the sensor on the biteplate. The software
then creates a demonstration of all mandibular
movements performed by the patient. At the
same time, the software creates tracings of the
patient’s condyles that can be used for diagnosis
(Fig. 5.15). These tracing can be used in identifi-
cation of pathologies or unusual jaw movement,
as discussed previously.
Once the movements are tracked, the intra-oral
scans are imported into dental-specific Computer-
aided design (CAD) software along with the algo-
rithm from the digital facebow. The algorithm
orients the surface scans onto a virtual articulator,
creating a virtual setup resembling the traditional
analog articulator.
The CAD software can replicate the patient’s
mandibular movement without any limitations.
The user is able to see any deviations from normal
and the software creates visual aids by displaying
a series of dotted pathways the mandible goes
through during functional movements. Specific
movements (example—left lateral movement),
may be individually selected and visualized.
Since these movements are in the virtual world,
they will reflect any deviation that the patient may
have in reality.
The software is also capable of generating
meshes of individual movement pathways,
which prove incredibly useful for the develop-
ment of prostheses by eliminating various
interferences that would have been present if
only a static relationship was used.
Interferences arise when tooth cusp tips hit
opposing teeth prematurely or out of harmony
with the other parts of the orthognathic system.
These interferences were referenced earlier and
are the cause of necessary chairside adjustments
that extend the time the patient must be in the
chair. When activated, the CAD software will
utilize the dynamic jaw movements to create a
restoration that will function most effectively for
the patient (Fig. 5.16).
These pictures illustrate such a case. This
patient needed two full coverage posterior
restorations. For various reasons, the most poste-
rior tooth in an arch is a little more challenging to
develop a proper occlusion when restoring. For
these restorations, the digital facebow was taken,
along with intra-oral scans of the patient. The
virtual patient was created as described above.
During the design process, the user was able to
visualize and toggle among the various occlusal
contacts on both the existing dentition and the
proposed prostheses to determine the best occlu-
sion for the final restorations. In addition, the user
was also able to move the virtual mandible
through various motions to help better visualize
the mandibular pathway and possible
interferences.
5 The Impact of Technological Innovation on Dentistry 97
-4 -2 0246810 12 14 16 16 14 12 10 86420-2 -4
-8
-6
-4
-2
0
-8
-6
-4
-2
0
Sag. Condyle Protrusion, left
Sag. Condyle Protrusion, right
Hor. Condyle Laterotrusion, right Hor. Condyle Laterotrusion, left
Bennett
Retrusion RetrusionShift Angle Shift Angle
ISS ISS Bennett
mm
mm
mmmmmmmm
mmmmmm
0
-1
-2
-3
-4
-5
-6
-7
-8
-9
-10
-11
-5-1.50543210-1-2 1 -1 -0.5 00.5
-3.5
-3
-2.5
-2
-1.5
-1
-0.5
0
-3.5
-3
-2.5
-2
-1.5
-1
-0.5
00
-1
-2
-3
-4
-5
-6
-7
-8
-9
-10
-11
3
2
1
0
-1
-2
-3
3
2
1
0
-1
-2
-3
3
2
1
0
-1
-2
-3
3
2
1
0
-1
-2
-3
3210-1-2-32310-1-2-32310-1-2-32310-1-2-3
-4 -3 -2 -1 012
mm
Fig. 5.15 Condylar pathway tracings obtained from mandibular tracking
The software is able to illustrate the patient’s
occlusion utilizing a heatmap to demonstrate the
degree of contact. Red and yellow colors indicate
intersection of surfaces, while the blues indicate
areas of contact—light blue indicates a heavy
contact while dark blue indicates light contact
between teeth. When the restorations are first
generated by the software, they have red and
yellow spots indicating they are actually
intersecting with the opposing surface scan
(Fig. 5.17).
Using the adapt function, the software adjusted
the proposed design of the restoration to be in
harmony with the rest of the patient’s dentition
(Fig. 5.18).
During the try-in of the two restorations, the
patient was instructed to go through all the vari-
ous mandibular movements while marking paper
was placed between the restorations and opposing
dentition. One can see how close the markings on
the final restorations align with those indicated in
the design software (Fig. 5.19).
This demonstrates the accuracy involved in
how the digital facebow translates both
98 R. Zimmermann and S. Seitz
Fig. 5.16 Virtual models in lateral excursion with heat map visible (blue/light blue on teeth) illustrating interfering points
5 The Impact of Technological Innovation on Dentistry 99
Fig. 5.17 Virtual model of patient with proposed crowns (yellow) design showing interferences via heat map
100 R. Zimmermann and S. Seitz
Fig. 5.18 Proposed crown design after adjustment for interferences
maxillomandibular relationships and mandibular
movement. While this case illustrates the use of
virtual models and workflows to increase the
accuracy of restorations, one can easily appreciate
the benefit of using this technology on larger
cases as well.
5 The Impact of Technological Innovation on Dentistry 101
Fig. 5.19 intra-oral picture of crowns at initial try-in
5.8 Conclusion
The exponential rate at which digital technology
is advancing in dentistry is apparent in the discus-
sion in this chapter. Consequently, the outcomes
for both dentists and patients are constantly
improving. New developments in both hardware
and software are allowing for better diagnosing,
planning, and treatment with the creation and
utilization of virtual models and virtual patients.
Dental procedures will be associated with less
treatment timeframe and fewer complications for
the patients, along with many other advantages,
due to these advances. However, based on recent
technological developments, it seems the best is
yet to come.
References
Baan F, de Waard O, Bruggink R, Xi T, Ongkosuwito EM,
Maal TJJ (2020) Virtual setup in orthodontics:
planning and evaluation. Clin Oral Investig 24(7):
2385–2393. https://doi.org/10.1007/s00784-019-
03097-3
Baan F, Bruggink R, Nijsink J, Maal TJ, Ongkosuwito EM
(2021) Fusion of intra-oral scans in cone-beam
computed tomography scans. Clin Oral Investig
25(1):77–85. https://doi.org/10.1007/s00784-020-
03336-y
Clayton JA, Kotowicz WE, Zahler JM (1971) Panto-
graphic tracings of mandibular movements and occlu-
sion. J Prosthet Dent 25(4):389–396. https://doi.org/
10.1016/0022-3913(71)90229-0
Garcia PP, da Costa RG, C. M., Ritter, A. V., Correr,
G. M., da Cunha, L. F., & Gonzaga, C. C. (2018)
Digital smile design and mock-up technique for
esthetic treatment planning with porcelain laminate
veneers. J Conserv Dent 21(4):455–458. https://doi.
org/10.4103/JCD.JCD_172_18
Haddadi Y, Bahrami G, Isidor F (2019) Accuracy of intra-
oral scans compared to conventional impression
in vitro. Prim Dent J 8(3):34–39. https://doi.org/10.
1308/205016819827601491
Joda T, Gallucci G, Wismeijer D, Zitzmann N (2019)
Augmented and virtual reality in dental medicine: a
systematic review. Comput Biol Med 108:93–100.
https://doi.org/10.1016/j.compbiomed.2019.03.012
Kernen F, Kramer J, Wanner L, Wismeijer D, Nelson K,
Flügge T (2020) A review of virtual planning software
for guided implant surgery - data import and visualiza-
tion, drill guide design and manufacturing. BMC Oral
Health 20(1):251. https://doi.org/10.1186/s12903-020-
01208-1
Kwon JH, Im S, Chang M, Kim JE, Shim JS (2019) A
digital approach to dynamic jaw tracking using a target
tracking system and a structured-light three-dimen-
sional scanner. J Prosthodont Res 63(1):115–119.
https://doi.org/10.1016/j.jpor.2018.05.001
Lepidi L, Galli M, Mastrangelo F, Venezia P, Joda T,
Wang HL, Li J (2020) Virtual articulators and virtual
mounting procedures: where do we stand? J
Prosthodont 30(1):24–35. https://doi.org/10.1111/
jopr.13240
Liao PL (2021) Evaluation of temporomandibular joint
dysfunction by a mandibular tracing system: a case
report. J Curr Res Dent 1(1):8–12. https://doi.org/10.
54646/bijcrid.002
Marques S, Ribeiro P, Falcão C, Ferreira Lemos B, Ríos-
Carrasco B, Ríos-Santos J, Herrero-Climent M (2021)
Digital impressions in implant dentistry: a literature
review. Int J Environ Res Public Health 18(3):1020.
https://doi.org/10.3390/ijerph18031020
Otranto de Britto Teixeira A, Almeida MAO, Almeida
RCDC, Maués CP, Pimentel T, Ribeiro DPB,
Medeiros PJ, Quintão CCA, Carvalho FAR (2020)
Three-dimensional accuracy of virtual planning in
orthognathic surgery. Am J Orthod Dentofacial Orthop
158(5):674–683. https://doi.org/10.1016/j.ajodo.2019.
09.023
102 R. Zimmermann and S. Seitz
Peck CC (2016) Biomechanics of occlusion-implications
for oral rehabilitation. Oral Rehabil 43(3):205–214.
https://doi.org/10.1111/joor.12345
Rutkūnas V, GečiauskaitėA, Jegelevičius D, Vaitiekūnas
M (2017) Accuracy of digital implant impressions with
intraoral scanners. A systematic review. Eur J Oral
Implantol 10(Suppl 1):101–120
Shah P, Chong BS (2018, Mar) 3D imaging, 3D printing
and 3D virtual planning in endodontics. Clin Oral
Investig 22(2):641–654. https://doi.org/10.1007/
s00784-018-2338-9
Advanced 3D Visualization and 3D
Printing in Radiology 6
Shabnam Fidvi, Justin Holder, Hong Li, Gregory J. Parnes,
Stephanie B. Shamir, and Nicole Wake
Abstract
Since the discovery of X-rays in 1895, medical
imaging systems have played a crucial role in
medicine by permitting the visualization of
internal structures and understanding the func-
tion of organ systems. Traditional imaging
modalities including Computed Tomography
(CT), Magnetic Resonance Imaging (MRI)
and Ultrasound (US) present fixed
two-dimensional (2D) images which are diffi-
cult to conceptualize complex anatomy.
Advanced volumetric medical imaging allows
for three-dimensional (3D) image post-
processing and image segmentation to be
performed, enabling the creation of 3D volume
renderings and enhanced visualization of per-
tinent anatomic structures in 3D. Furthermore,
3D imaging is used to generate 3D printed
models and extended reality (augmented real-
ity and virtual reality) models. A 3D image
translates medical imaging information into a
visual story rendering complex data and
abstract ideas into an easily understood and
tangible concept. Clinicians use 3D models to
comprehend complex anatomical structures
and to plan and guide surgical interventions
more precisely. This chapter will review the
volumetric radiological techniques that are
commonly utilized for advanced 3D visualiza-
tion. It will also provide examples of 3D print-
ing and extended reality technology
applications in radiology and describe the pos-
itive impact of advanced radiological image
visualization on patient care.
S. Fidvi (✉) · J. Holder · S. B. Shamir
Department of Radiology, Montefiore Medical Center,
Bronx, NY, USA
e-mail: sfidvi@montefiore.org;juholder@montefiore.org;
sshamir@montefiore.org
H. Li · G. J. Parnes
Department of Radiology, Jacobi Medical Center, Bronx,
NY, USA
e-mail: lih18@nychhc.org;parnesg1@nychhc.org
N. Wake
GE Healthcare, Aurora, OH, USA
Center for Advanced Imaging Innovation and Research,
NYU Langone Health, New York, NY, USA
e-mail: Nicole.Wake@ge.com
#The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
E. Abdel Meguid et al. (eds.), Biomedical Visualisation, Advances in Experimental Medicine and
Biology 1406, https://doi.org/10.1007/978-3-031-26462-7_6
103
Keywords
Radiology · Computed Tomography (CT) ·
Magnetic Resonance Imaging (MRI) and
Ultrasound (US) · 3D visualization · 3D
printing · Extended reality technology
6.1 Introduction
Medical imaging is of vital importance in
depicting the internal visualization of organ
systems and their function. Computed Tomogra-
phy (CT), Magnetic Resonance Imaging (MRI)
and Ultrasound (US) are the core modalities used
in biomedical imaging that display
two-dimensional (2D) images in fixed
orientations. Advanced volumetric medical imag-
ing expands upon this 2D imaging by creating
three-dimensional (3D) images to be displayed on
the conventional 2D imaging screens which are
viewed by physicians, patients, and their families
alike. 3D processing techniques facilitate diagno-
sis and enable quantitative analysis of the
acquired images.
104 S. Fidvi et al.
3D printing, augmented reality (AR), and vir-
tual reality (VR) are 3D imaging methods used to
create anatomic models. Creating 3D models
from radiological imaging data is a complex pro-
cess that involves manipulating the original 2D
images into a volume that represents patient-
specific anatomy. 3D anatomic model creation
includes image acquisition, image segmentation,
and computer-aided design (CAD) modeling. The
manipulated data is then optimized for the
advanced visualization method of choice—3D
printing, AR, or VR. All forms of 3D modeling
transform biomedical information into a visual
display that renders abstract and complex
diseases readily comprehensible. 3D modeling
from medical imaging data elucidates complex
anatomic structures and highlights pathology
which enables clinicians to plan surgical
procedures more effectively and enhance patient
outcomes. For example, 3D models are used to
plan tumor resections within the abdomen, pelvis,
breast, and musculoskeletal systems, as well as to
facilitate many cardiac and neurointerventional
procedures. In addition to clinical applications,
3D models have been used to improve trainee
and patient education.
3D modeling has been used in medical educa-
tion for generations to demonstrate both normal
anatomy and complex pathologies, and many
medical student and radiology residency training
programs implement 3D printing and extended
reality technologies (Burns et al. 2022).
Institutions also use these models to assist
patients and their families in understanding medi-
cal conditions, surgical goals and surgical
approaches. Patient specific, anatomically accu-
rate 3D models enhance patient education and the
consent process by helping the patient and their
family to better understand their pathology as
well as the surgery that will be performed and
the inherent risks the procedure entails
(Eisenmenger et al. 2017; Tzavellas et al. 2020).
This leads to more effective communication, ele-
vated patient satisfaction, and confidence in
selecting a treatment plan (Mitsouras et al. 2015).
This chapter provides an overview of the
benefits and limitations of the traditional imaging
modalities of CT, MRI, and Ultrasound. Further-
more, the chapter highlights the volumetric radio-
logical techniques that are commonly utilized for
advanced 3D visualization and provides
examples of 3D printing and extended reality
technology applications in radiology. The chapter
discusses examples that demonstrate how
advanced medical imaging techniques facilitate
myriad cardiovascular and neurointerventional
procedures. Additionally, the chapter focuses on
how the use of 3D imaging can be used to plan
tumor resections in the abdomen, pelvis, breast,
and musculoskeletal system. In summary, the
chapter highlights the tremendous positive impact
of advanced radiological image visualization
techniques like 3D printing in revolutionizing
patient care.
6.2 Medical Imaging Technologies
Imaging modalities including CT, MRI, and ultra-
sound are often used for advanced 3D image
visualization or to create 3D printed and extended
reality models (Wake et al. 2022). There are many
texts that describe these imaging modalities in
detail (Seutens 2009; Kalendar 2011; Brown
et al. 2014; Zagzebski 1996). Herein, the basics
are described in order to provide a background for
the 3D imaging and visualization methods com-
monly used in radiology and medicine.
Computerized Tomography is used most often
for advanced 3D image visualization and
modeling due to the ease of post-processing CT
data. A CT scan involves a series of X-rays deliv-
ered through a patient that is subsequently
detected by the scanner detector after passing
through the body. The quantity of X-rays
absorbed by the body determines the number of
X-rays that reach the CT detector, which in turn
utilizes software to assign grayscale levels
defined as Hounsfield Units (HU) to various
tissues. Tissues that do not absorb many X-rays
appear black, such as fat and air, while those that
absorb these rays appear white, such as bone and
intravenous contrast. Most organs and vascular
structures fall somewhere in between, as varying
degrees of gray. CT is thus able to distinguish and
isolate pathological processes from the back-
ground tissue based on the differing levels of
white, gray, and black. The radiologist defines
and separates objects on the acquired images to
generate 3D models, and the pathology must be
demarcated from the background tissue through
the post-processing step. This modeling process
thus works most effectively if the organ can be
easily separated from its environment, and if the
pathology can be accurately separated from the
organ. CT is conducive to this as there is a solitary
color scale to evaluate and the images are often
acquired in a standard, axial plane (Mitsouras
et al. 2015).
6 Advanced 3D Visualization and 3D Printing in Radiology 105
Magnetic Resonance Imaging is a more com-
plex imaging modality that provides good tissue
contrast without ionizing radiation. MRI uses
varying electromagnetic fields applied to a patient
in multiple configurations and directions to gen-
erate images in unlimited planes. There are con-
sequently many sequences available (e.g., T1, T2,
proton density, diffusion, dynamic contrast
enhanced) that highlight different tissues in vari-
ous ways and in different orientations. The signal
of tissue can have multiple different colors, or
intensities, depending on the pathology and
sequence used for display. MRI is more difficult
to use than CT for 3D image visualization and 3D
printing. MRI has some limitations in
distinguishing pathology from background tissue
because it has thicker slabs than CT which results
in more structural overlap and impairs the
radiologist’s ability to diagnose with precision.
Finally, MRI is particularly susceptible to
artifacts that can distort images, which renders
contouring and isolating structures challenging
(Graves and Mitchell 2013; Morelli et al. 2011;
Bernstein et al. 2006). Setting these challenges
aside, what makes MRI so effective in radiology
is its excellent soft tissue contrast and the wealth
of information content in MR images.
Ultrasound is commonly used for advanced
3D imaging visualization. This imaging modality
employs high-frequency sound waves that spread
through the body, bounce off deep tissues, and
return to the machine to be processed (Prince and
Links 2006). The generated image is determined
by the different speeds and directions of
soundwaves emitted from the various tissues
and structures detected by the machine. Although
ultrasound is excellent for 3D image visualiza-
tion, it poses a challenge for 3D modeling as
ultrasound images are not obtained in the stan-
dard transverse, coronal, and sagittal orientations.
However, the use of specialized probes and image
processing software enhance the ability to per-
form a 3D ultrasound (Sepulveda et al. 2012).
This has allowed the progressive incorporation
of 3D-US into the routine fetal anatomical survey
to allow evaluation of select fetal anatomical
landmarks and serve as a complement to evaluate
detected fetal anomalies (Sepulveda et al. 2012).
The other limitation of ultrasound is that the
image appearance is entirely dependent on man-
ual transducer positioning and there is high
variability in organ and pathology orientations
and appearances (Wake et al. 2022).
6.3 3D Image Visualization
Volumetric medical images can be visualized on a
2D screen or a 3D display which effectively
represents the spatial relationships between adja-
cent structures. In order to properly visualize ana-
tomic structures in 3D or to create accurate
anatomic 3D models from medical imaging data,
the slice thickness must be sufficiently narrow
(e.g., 1 mm or less). If the slice thickness is too
large, then the 3D anatomical region of interest
will be distorted. For CT and MRI, 3D
acquisitions with isotropic resolution (e.g., 1 ×
1×1 mm) permit visualization of the anatomy
from any orientation, enabling proper depiction of
any pertinent anatomic structure.
Volume rendering is an important data visual-
ization technique used to create a 3D
representation of volumetric medical imaging
data, typically CT. Direct volume rendering
methods generate 3D representations of the vol-
ume data directly (Levoy 1988). An optical model
is applied to map data values to optical properties
such as color and opacity (Max 1995).
106 S. Fidvi et al.
Fundamental CT algorithms include Maxi-
mum Intensity Projection (MIP), Minimum Inten-
sity Projection (MinIP), and Shaded Surface
Volume Renderings (SS-VRT). MIP images are
obtained by projecting the voxel with the highest
attenuation value on every view throughout the
image volume, whereas MinIP images display
only the lowest attenuation value encountered in
a specific volume. MIP images are useful for the
detection of small lung nodules and MinIP
images are particularly useful for analyzing the
biliary tree and pancreatic duct. SS-VRT allows
for 3D visualization from volumetric data by
representing object surfaces (Udupa et al. 1991;
Hong and Freeny 1999; Fishman et al. 2006).
SS-VRT, which is particularly useful for
visualizing bone or vasculature, provides a 3D
perspective of that specific tissue. An important
variation of SS-VRT is virtual endoscopy
wherein the surface of the gastrointestinal tract
lumen, such as the colon, is displayed so that
lesions and polyps are readily detected. There
are thus multiple post-processing algorithms that
can be applied to 2D images to generate clinically
useful 3D images.
6.4 Image Segmentation
Image segmentation, the process of subdividing
an image into its constituent regions or objects, is
a highly relevant task in medical image analysis
and is important for many clinical applications.
Segmentation algorithms for grayscale images are
typically based on one of two basic categories,
both of which deal with properties of intensity
values: (1) discontinuity (partitioning an image
based on abrupt changes in gray level) and
(2) similarity (partitioning an image into regions
that are similar). Common segmentation
techniques available in most medical image
post-processing platforms include thresholding,
edge detection, and region growing.
Thresholding is the simplest method of image
segmentation and can be used to generate binary
images from a volumetric grayscale image
dataset. To differentiate pixels of interest, a com-
parison of each pixel intensity value with respect
to a threshold is performed. If the pixel’s intensity
is higher than the threshold, the pixel is set to one
value, i.e., white, and if it is lower than the thresh-
old, it is set a second value, i.e., black (Fig. 6.1).
Edge detection is a technique that finds the
boundaries of objects (edges) within images.
Edge detection works by detecting discontinuities
in brightness between adjacent structures and is
used most frequently for segmenting images
based on sudden local changes in intensity.
Region growing is a simple region-based
image segmentation method. It is classified as a
pixel-based image segmentation method since it
involves the selection of initial seed points. Once
a seed point or set of points has been identified, a
region is grown by appending to each set of
neighboring pixels that have predefined
properties similar to the seed.
In the USA, when medical image post-
processing software is marketed for patient care
(i.e., Clinical Care or Diagnostic Use), the soft-
ware needs to have Food and Drug Administra-
tion (FDA) clearance. FDA-cleared software is
not required for research in the US. Outside the
USA, regulations vary. Table 6.1 highlights some
of the software products available for medical
image post-processing.
6.5 3D Printing
3D printing and extended reality technologies are
increasingly being used in medicine for a wide
range of applications including pre-surgical
planning, simulations, intraoperative guidance,
trainee education, and patient education. 3D
printing technologies can also be used to create
patient-specific surgical guides, implants, and
prosthetics.
Also known as additive manufacturing or
rapid prototyping, 3D printing uses an additive
6 Advanced 3D Visualization and 3D Printing in Radiology 107
Fig. 6.1 Example of bone thresholding from CT data using HU 226–1085. (a) Coronal view, (b) axial view, (c) sagittal view, (d) threshold settings, (e) 3D visualization of
segmented bone. Images courtesy of Nicole Wake, PhD, GE Healthcare
Product Company Website
method to create a 3D physical object layer by
layer. First patented in 1986 by Chuck Hull, 3D
printing technologies have quickly developed
over the years (Hull 1986). Although all 3D
printers use the basic additive fabrication method
that involves building the part one layer at a time,
they differ on the material types and techniques
used. Today, according to the American Society
for Testing Materials, there are seven major 3D
printing technologies (ISO 2021). These
technologies include binder jetting, direct energy
deposition, material extrusion, material jetting,
powder bed fusion, sheet lamination and vat
photopolymerization (Table 6.2).
108 S. Fidvi et al.
Table 6.1 3D visualization and segmentation programs utilized in radiology
FDA
Clearance
3D Slicer Brigham and
Women’s
Hospital
www.slicer.org None
Amira Thermo Fisher
Scientific
https://www.thermofisher.com/us/en/home/electron-
microscopy/products/software-em-3d-vis/amira-software.html
3D
Visualization
Analyze/
Analyze Pro
Analyze Direct www.analyzedirect.com None
AnatomicsRx Anatomics www.anatomicsrx.com None
AW Server GE www.gehealthcare.com 3D
Visualization
D2P 3D Systems www.3Dsystems.com 3D Printing
Dolphin 3D
Surgery
Dolphin/Patterson
Dental
www.dolphinimaging.com 3D
Visualization
F.A.S.T Fovia www.fovia.com 3D
Visualization
IBM
iConnect
IBM https://www.ibm.com/products/iconnect-access 3D
Visualization
iNtuition TeraRecon www.terarecon.com 3D
Visualization
Itk-SNAP University of
Utah & UPENN
www.itksnap.org None
MeVisLab Mevis www.mevislab.de None
Mimics Materialise www.materialise.com 3D Printing
Mirrakoi Rhino3D Medical https://mirrakoi.com/rhino3dmedical_for_engineers/ None
NemoFAB Nemotec www.nemotec.com None
OsiriX Lite Pixmeo www.osirix-viewer.com None
OsiriX MD Pixmeo www.osirix-viewer.com 3D
Visualization
Ossa 3D Conceptualiz http://www.conceptualiz.org/products_ossa.html None
Ricoh 3D for
Healthcare
Ricoh, USA, Inc https://www.ricoh-usa.com/en/industries/healthcare/3d-printing-
for-healthcare
3D Printing
Seg3D/
Biomesh3D
University of
Utah
https://www.sci.utah.edu/cibc-software/seg3d.html None
Simpleware Synopsis www.synopsis.com 3D Printing
Vitrea Vital Images/
Canon
www.vitalimages.com 3D
Visualization
3D printed models play a crucial role in
transforming surgical interventions by facilitating
pre-surgical planning and simulation,
intraoperative navigation, and physician training.
3D models are valued by many surgeons as they
provide spatial comprehension, tactile feedback,
and a better understanding of patient-specific
anatomical characteristics and variations
(Tzavellas et al. 2020). In conjunction with
computer-aided surgery simulation, 3D models
Description of method
are an invaluable tool in the preparation for a safer
and more cost-effective surgical pelvic recon-
struction minimizing operative time and
maximizing precision outcomes (Hung et al.
2019). Models manufactured with materials ful-
filling biocompatibility standards can be sterilized
using predefined protocols and brought to the
surgical field (Fang et al. 2019). Using 3D models
can allow for a reduction in overall operative and
fluoroscopic times, a decrease in intraoperative
blood loss, increased accuracy of reduction and
fixation and a decrease in complications such as
iatrogenic nerve injuries (Tzavellas et al. 2020).
Current 3D printing technologies can be limited
regarding material type and color capabilities,
although technologies are continuously improv-
ing, and it is expected that new material types and
color options will be more easily accessible and
affordable in the future.
6 Advanced 3D Visualization and 3D Printing in Radiology 109
Table 6.2 Description of 3D printing technologies
Printing technology
type
Binder Jetting Process in which a liquid bonding agent is selectively deposited to join powder materials.
Direct Energy
Deposition
Process in which focused thermal energy is used to fuse materials by melting as they are being
deposited.
Material Extrusion Process in which material is selectively deposited through a nozzle.
Material Jetting Process in which droplets of photosensitive build material are selectively deposited and
solidified with ultraviolet light.
Powder Bed Fusion Process in which thermal energy selectively fuses regions of a powder bed.
Sheet Lamination Process in which sheets of material are bonded to form a part.
Vat
Photopolymerization
Process in which liquid photopolymer in a vat is selectively cured by light-activated
polymerization.
6.6 3D Visualization and Modeling
for Cardiovascular Applications
Planning cardiovascular surgery is a collaborative
effort that integrates imaging expertise of
radiologists and clinical expertise of cardiologists
and cardiac surgeons to determine the best thera-
peutic options while optimizing operative time.
Over the last 10 years, 3D image visualization has
been used extensively for the planning of cardio-
vascular procedures such as transcatheter aortic
valve replacement (TAVR), widely established as
the most common FDA-approved treatment for
patients with severe symptomatic aortic stenosis
who are at moderate (or greater) risk for surgical
valve replacement (Hosny et al. 2019). This
endovascular procedure employs a catheter-
based delivery system using femoral arterial
access to implant a balloon-expandable
bioprosthetic valve within a diseased aortic
valve. Although in widespread use, the complex
3D anatomy of the aortic root makes it difficult to
predict how the prosthetic aortic valve will adapt
in the patient and achieving a personalized pros-
thetic valve fit for every patient remains a surgical
challenge. Oversizing the prosthetic valve can
lead to annular rupture, and under-sizing can
result in an ineffective seal/paravalvular leak or
prosthetic valve embolization. Characterization
of aortic root anatomy and aortic annular
measurements are an important starting point for
determining appropriate valve size, but additional
patient-specific factors such as the degree of
annular eccentricity and the relative distribution
of calcified deposits on valve leaflets and in the
LVOT all influence valve anchoring and seal
efficacy (Hosny et al. 2019). Figure 6.2 shows
aortic images from a patient with significant
plaque on the annulus.
3D printed heart and aortic models are used
preoperatively and intraoperatively in the man-
agement of complex congenital heart disease
(CHD), acquired cardiovascular anomalies, car-
diac tumors and in percutaneous cardiology
procedures such as TAVR (Levin et al. 2020;
Yoo et al. 2015,2017; Marro et al. 2016). Ana-
tomic models facilitate improved spatial acuity to
critical structures with reduction in operative time
including cardiopulmonary bypass times. Opera-
tive rehearsals with patient-specific 3D printed
models reveal potential pitfalls to the surgeon,
the preferred approach and optimal instrumenta-
tion, while providing a preview of anatomic
nuances and opportunity to improve technique
(Yoo et al. 2017; Hussein et al. 2020; Hermsen
et al. 2017). 3D printed models assist in educating
surgical trainees by simulating specific anatomy
and allowing various surgical approaches to be
practiced in a stress-reduced environment without
harming the patient. Soft tissues can be mapped
and reconstructed, effectively moving important
decisions from the time-constrained operating
room to the preoperative setting (Costello et al.
2015; Ballard et al. 2018). Cardiothoracic
surgeons find the models suitable for practicing
closure of septal defects, application of baffles
(surgically-created tunnels used to redirect blood
flow) within the ventricles, reconstructing the
aortic arch, and the arterial switch procedure
(Yoo et al. 2015). In addition, patient-specific
3D models are valuable for enhancing engage-
ment with parents and improving communication
between cardiologists and parents resulting is a
positive impact in parents’and patients’psycho-
logical adjustment to living with congenital heart
disease (CHD) (Biglino et al. 2015).
110 S. Fidvi et al.
Fig. 6.2 TAVR images
showing the annulus in
3 planes: (a) en-face with
the aortic valve, (b,c) aortic
valve outflow tract shown
from two angles. (d)3D
visualization of aortic
outflow tract and proximal-
mid aorta, (e) en-face 3D
visualization of the aortic
valve. Notice the plaque in
bright white on all images.
Images courtesy of Nicole
Wake, PhD, GE Healthcare
CHD such as Ventricular Septal Defects
(VSD), Tetralogy of Fallot, and Double Outlet
Right Ventricle (DORV) cause significant hemo-
dynamic and functional consequences
necessitating surgical repair. 3D-printed replicas
of the patient’s heart permit precise understanding
of complex cardiac anatomy and hands-on simu-
lation of surgical and interventional procedures.
6 Advanced 3D Visualization and 3D Printing in Radiology 111
As an example, DORV (Fig. 6.3) is a cardiac
anomaly in which both the aorta and the pulmo-
nary artery originate predominantly or entirely
from the right ventricle. In this situation, the left
ventricle (LV) has no direct outlet to either great
vessel and must eject blood into the right ventricle
(RV) through a VSD. Rarely, in the absence of a
VSD, the LV is very hypoplastic. The physiolog-
ical picture and the type of surgical correction
depend on the arrangement of the great vessels
and the anatomy of the VSD, both of which are
well depicted by imaging. The most common
variant, the Fallot type, has a normal arrangement
of the great vessels, a subaortic VSD and is often
associated with pulmonic stenosis. DORV may
also be associated with an anterior aorta and a
subpulmonic VSD, called the Taussig-Bing
anomaly. Surgical correction for the Fallot type
variant consists of VSD patch closure which
directs blood to the aorta and correction of pul-
monic stenosis. For the Taussig-Bing variant
without pulmonary obstruction, surgical correc-
tion consists of patch closure of the VSD and
arterial switch. In the presence of pulmonary
obstruction, LV flow is tunneled through the
VSD to the aorta and an RV-PA pathway is
created- the so-called Rastelli procedure (Quail
and Taylor 2020).
Fig. 6.3 Patient-specific 3D printed hollow cardiac model
printed with a flexible material (TangoPlus, Stratasys) and
created from 3D cardiothoracic CT data obtained preoper-
atively in an infant with DORV and interrupted aortic arch
type B. Both the smaller AA and dilated MPA arise from
DORV. The aortic arch is interrupted (asterisk) between
the left common carotid artery and the left subclavian
artery, indicating type B of interrupted aortic arch. MPA
main pulmonary artery. Reproduced with open-access per-
mission from Goo et al. (2020)
3D-printed heart models are of value in train-
ing for and performing corrective surgery for
Hypertrophic Cardiomyopathy (HCM). HCM is
a genetic myocardial disease characterized by
marked hypertrophy of the LV and occasionally
the RV, possible obstruction of the LV outflow
tract (LVOT), life-threatening arrhythmias and
sudden cardiac death. Septal reduction therapies,
including surgical myectomy and percutaneous
transluminal septal myocardial ablation are
established treatments for drug refractory symp-
tomatic HCM. Poor visualization of the left ven-
tricular cavity in the operative field and
heterogeneous LVOT anatomy can make this
surgical procedure challenging (Hamatani et al.
2017). The preferred method of treatment, surgi-
cal septal myectomy (SM), has potential
complications of iatrogenic ventricular septal
defect, residual left ventricular outflow tract
(LVOT) obstruction and mitral regurgitation
(MR) (Andrushchuk et al. 2018). Anatomic
models help avoid these complications by
optimizing visualization of complex intracardiac
morphology and the mitral apparatus and permit-
ting superior intraventricular septum resection
volume and shape (Ali et al. 2020). 3D-printed
HCM heart models also allow for patient-specific
preoperative simulation of a low-volume,
low-visibility, high-risk surgical procedure that
is traditionally difficult to teach (Hermsen et al.
2017).
3D modeling is also commonly used in cardi-
ology for left atrial appendage (LAA) occlusion
(Goitein et al. 2017; Liu et al. 2016; Hong et al.
2022; Kim et al. 2022; Hachulla et al. 2019;
Morcos et al. 2018). The LAA is a common site
for thrombus formation in patients with atrial
fibrillation (AF), the most common cardiac
arrhythmia. Its incidence increases with age to
>8% in those >80 years of age, and embolic
strokes originating in the LAA are associated
with a higher morbidity and mortality,
emphasizing the need for effective stroke preven-
tion in AF. While the mainstay of treatment is
pharmacological therapy with anticoagulants,
LAA occlusion/exclusion devices such as the
Watchman device (Boston Scientific,
Marlborough, MA) are a viable alternative in
patients in whom contraindications to anticoagu-
lant therapy exist or who are at high risk of
bleeding. Occlusion is defined as placement of a
device into the LAA percutaneously, while exclu-
sion refers to the application of an external liga-
ture to isolate the LAA from the circulation
(Athanassopoulos 2016).
112 S. Fidvi et al.
The correct sizing and the optimal implanta-
tion position of the closure device pose a chal-
lenge due to complex and variable LAA shapes.
The risks of under- or oversizing are LAA perfo-
ration, pericardial effusion, interference with the
mitral valve or the ostium of the pulmonary veins,
compression of the left circumflex artery and
device embolization (Hachulla et al. 2019). Pre-
cise understanding and measurements of the
dimensions of the LAA ostium, landing zone
and maximum length of the main anchoring lobe
are essential elements in occlusion procedures
and especially important in patients with variant
anatomy (Fig. 6.4).
Obtaining accurate LAA dimensions is also
crucial to minimize intraprocedural
improvisations and device changes, recapture
maneuvers, and prolonged procedure times
(Morcos et al. 2018). Periprocedural noninvasive
imaging modalities utilized to evaluate the LAA
include fluoroscopy, 2D or 3D transesophageal
echocardiography (TEE), intracardiac echocardi-
ography (ICE) and cardiac CT. 3D printed LAA
models are valuable tools in the identification of
the optimal device size and position eliminating
incomplete sealing and peri-device leaks. Added
benefits include technique optimization with sim-
ulation of the LAA closure procedure and a
reduction in the device implantation learning
curve (Hachulla et al. 2019).
Advanced 3D image visualization and printing
have also been used for patients with mitral
annular calcification (MAC), a degenerative pro-
cess involving the mitral annulus which
progresses to involve the leaflets and subvalvular
apparatus causing valvular obstruction or regur-
gitation. In patients with severe MAC who are not
surgical candidates, transcatheter mitral valve
replacement (TMVR) is a feasible therapeutic
option but remains surgically challenging due to
the complexity of the mitral valve apparatus and
its geometric relationship with the left ventricular
anatomy. The calcified mitral annulus can vary in
rigidity, size, and shape, all of which can affect
anchoring of the deployed transcatheter valves
and predispose to paravalvular leaks (PVL). The
proximity of the mitral apparatus to the left ven-
tricle can lead to LVOT obstruction during
TMVR, either by direct prosthetic valve protru-
sion or by displacing the anterior mitral valve
leaflet into the LVOT. Furthermore, the bulky
calcified annulus can lead to underexpansion
and dislodgement of the balloon-expandable
valves. Given the anatomical challenges, meticu-
lous pre-procedural 3D planning is warranted
(Wang et al. 2016,2018). 3D printed cardiac
models are valuable adjuncts to assess prosthesis
sizing, anchoring, expansion, paravalvular gaps,
LVOT obstruction and extra-annular calcium
extension (El Sabbagh et al. 2018) (Fig. 6.5).
Simulation with 3D models helps trial the com-
plex navigational maneuvers needed to advance
catheters from the aorta to the left ventricle,
preprocedurally select the size of the deflectable
guiding catheter and to optimize catheter tip posi-
tioning between the two papillary muscles and
close to the mitral annulus (Valverde 2017).
Another major use of advanced 3D image
visualization in cardiac applications is for cardiac
tumors. To safely resect or debulk a cardiac
tumor, it is imperative to understand its intricate
interplay with critical local cardiac structures to
help devise a safe surgical strategy while
protecting the coronary circulation. 3D printed
cardiac tumor models such as that shown in
Fig. 6.6 provide vital structural insight into
tumor size and location and are used to identify
the spatial relationship between the tumors and
the coronary arteries in addition to gauging their
depth and infiltration (Riggs et al. 2018).
c
6 Advanced 3D Visualization and 3D Printing in Radiology 113
Fig. 6.4 Example of a
cauliflower-shaped LAA.
(a)Cardiac CT and (b) TEE
which both predicted a
25-mm Amulet device.
Two different Amulet
sizes were tested on the 2D
printed model: (c) a 25 mm
sized device and (d)a
22 mm sized device
(Reproduced with open-
access permission from
Hachulla et al. (2019)
a
b
DCT=25 Amplatzer
DTEE=25 Amplatzer
25 Amplatzer
22 Amplatzer
f
Fig. 6.5 3D modeling and surgical planning for TMVR
in a patient with severe MAC. (a) cross-section of the
mitral annulus with estimated area measurement shown.
(b) 3D model of the hollowed left ventricle and atrium
with aortic outflow (red), left atrium (purple), and calcified
plaque (yellow). (c) en-face projection of mitral valve
plane with simulated valve dark yellow. (d) hollowed
left-sided heart view showing mitral calcification. (e)CT
showing 4 chamber view with simulated valve (yellow
box), (f) CT showing en-face mitral annulus view with
simulated valve (yellow circle). (g) CT showing
2-chamber view with aortic outflow tract and simulated
valve (yellow box). (h) 3D model of the hollowed left
ventricle and atrium with the simulated valve placed
(light yellow). Images courtesy of Nicole Wake, PhD,
GE Healthcare
114 S. Fidvi et al.
Fig. 6.6 Photographs of a
physical 3D printed heart
model (white) with a tumor
(transparent) showing the
left circumflex artery
coursing through the tumor
[Reproduced with open-
access permission from
Riggs et al. (2018)]
Finally, open surgical repair of abdominal aor-
tic aneurysms (AAA) has given way to catheter-
based endovascular aneurysm repair (EVAR)
which requires specialized skills and training
(Bastawrous et al. 2018). Endovascular repair of
complex aortic aneurysms involving the origin of
aortic branches, extreme angulations, complex
aneurysm neck anatomy, and short landing
zones can be technically challenging. Pertinent
information sought from preoperative CT
angiograms includes assessment of access (com-
mon femoral artery) for its diameter (large
enough to accommodate delivery system), pres-
ence of plaques or calcifications which can hinder
access, iliac artery diameters at landing zones and
iliac vessel tortuosity (Chepelev et al. 2015).
Simulation on 3D printed aortic phantoms is ben-
eficial in the preoperative planning and teaching
of aneurysm repairs by identifying the best
projections for angiography, the best catheter
and wire combinations to navigate the anatomy
and in determining appropriate stent size, design,
and position (Sommer et al. 2018,2021; Meess
et al. 2017) (Fig. 6.7). Haptic feedback elicited
from manipulation of guidewires and catheters
also aids complex endovascular interventions,
increasing operator confidence (Chepelev et al.
2018).
6.7 3D Visualization and Modeling
for Musculoskeletal
Applications
3D image post-processing is routinely performed
to better visualize musculoskeletal pathologies
such as complex shoulder fractures (Fig. 6.8).
3D printed-assisted operations for comminuted
and intraarticular proximal humeral fractures
shortened surgery duration and time to fracture
union, improved healing in an anatomical posi-
tion and shoulder function, reduced blood loss
volume, the number of fluoroscopies during sur-
gery and minimized postoperative complications
(Li et al. 2022).
In the setting of pelvic trauma, 3D visualiza-
tion of the fractured hemi-pelvis provides
surgeons an accurate understanding of fracture
configuration, allowing the manipulation of
bone fragments in a virtual simulation and crea-
tion of personalized treatment plans utilizing the
best surgical approach and reduction technique as
well as optimal interfragmentary screw
trajectories (Hurson et al. 2007). Surgery around
the bony pelvis poses unique challenges due to
complex anatomy, deep exposures and narrow
safe corridors required to avoid critical
neurovascular and visceral structures (Fang et al.
2019); and 3D visualization is a much more pow-
erful tool as compared to traditional radiological
assessment of pelvic fractures involving plain
X-rays and CT (Hurson et al. 2007).
6 Advanced 3D Visualization and 3D Printing in Radiology 115
Fig. 6.7 Case with an abdominal aortic aneurysm with a
dissection showing image contours generated from image
segmentation and subsequent hollowing of the blood pool
on the (a) coronal, (b) axial, and (c) sagittal CT images. (d)
Virtual 3D model of the anatomic region of interest. (e)3D
printed model of the printed aortic aneurysm model
printed with jet fusion technology. Images courtesy of
Nicole Wake, PhD, GE Healthcare
Fig. 6.8 Humeral head fracture (yellow arrow) shown on (a) axial, (b) coronal, and (c) sagittal CT images with (d)
corresponding 3D model of the fracture. Images courtesy of Nicole Wake, PhD, GE Healthcare
116 S. Fidvi et al.
3D printing the mirror image of the opposite
intact anatomy can also play an invaluable role in
the accurate pre-contouring of fixation plates,
ensuring optimal implant positioning, minimizing
dissection of adjacent soft tissues, reducing sur-
geon fatigue, and minimizing the need for implant
repositioning (Fang et al. 2019; Hung et al. 2019).
An example of mirroring is shown in Fig. 6.9.
3D visualization is also commonly used to
reconstruct the bony anatomy for joint replace-
ment and repair, such as the knee and shoulder.
Using CT data, these 3D reconstructions allow
improved comprehension of conditions such as
osteoarthritis and allow for precise surgical
planning using custom devices that match the
patient’s specific anatomy (Berhouet et al. 2017;
Koch et al. 2021; Kwon et al. 2005; Lei et al.
2020). In patients with shoulder osteoarthritis,
disproportionate posterior load bearing deforms
the glenoid leading to bony thinning, retrover-
sion, and biconcavity of its articular surface. Sur-
gical techniques for shoulder replacement surgery
total shoulder arthroplasty (TSA), shoulder
hemiarthroplasty (SHA), and reverse shoulder
arthroplasty (RSA) with adjunctive measures
such as bone grafting and glenoid reaming. Sur-
gical objectives include restoration of normal
glenoid version and osteophyte removal to rebal-
ance the humeral head, restore normal biome-
chanics, achieve durable hardware fixation, and
provide lasting symptomatic relief and functional
ability. The small volume of glenoid bone stock
in conjunction with complex biomechanical
forces and its relative avascularity and low
strength (Wang et al. 2019) leads to loosening
of the glenoid component, which is widely
recognized as the primary limitation in the mid-
and long-term durability of TSA (Al Najjar et al.
2018). The bony morphology of the glenoid is
therefore a critical factor in the selection of appro-
priate surgical technique and preoperative
planning for implant placement to ensure
arthroplasty durability. As shown in Fig. 6.10,
3D printed models create realistic anatomic-
scale representations of glenoid morphology
including osteophytes, bony thinning, retrover-
sion, and biconcavity.
3D visualization and modeling are also used in
patients with spinal deformities such as idiopathic
scoliosis, kyphosis, and meningomyeloceles to
facilitate the study of joint inclination, false
articulations and pedicle size (Fig. 6.11). In the
preoperative setting, these models serve as a
guide to curve correction and pedicle screw place-
ment, resulting in a safer and more optimized
surgical outcome.
Patient-specific 3D printed models can be
highly valuable in cases of orthopedic oncology
(Fig. 6.12). In addition, in these cases, surgical
guides can also be created directly from volumet-
ric images to guide corrective bone resections or
complex tumor resections. In addition, as recon-
structive and restorative surgeries have advanced
in scope and complexity in the field of Orthope-
dics, 3D printing technology holds the potential
for bringing personalized medicine and patient-
centered healthcare closer to reality by enabling
the fabrication of patient-specific implants.
Despite the availability of multiple standardized
commercial implants, a subset of patients fall
outside the window of available devices and
benefit from the design and production of individ-
ually tailored prostheses and orthotics (Mitsouras
et al. 2015). Consequences of an improperly fitted
implant include patient embarrassment and dis-
comfort, decreased patient compliance and even
depression (Ballard et al. 2018).
At this time, most implants created using addi-
tive technologies are created by original equip-
ment manufacturers with 510 K FDA clearance to
manufacture and sell the intended part. Typically,
the design of a patient-specific implant utilizes the
concept of “Mirroring”to create a template of
patient anatomy in the setting of severe patho-
logic unilateral deformities. As humans exhibit
plane symmetry though the midline sagittal
plane, the non-pathologic side can be mirrored
and computationally overlapped with the dis-
eased side allowing rapid and accurate patient-
specific reconstruction. This technique enables
the creation of patient-specific surgical guides
which allow the precise excision of bone and
soft tissue tumors, optimization of the resection
volume, conservation of healthy tissue and
subsequent placement of the custom implant
flush with the excision site (Chepelev et al. 2015).
3D-printed implants are used for tumor
endoprosthetic reconstruction in cases of
osteosarcomas, pelvic chondrosarcomas and
tumors of the spine, clavicle, scapula and calca-
neus. Custom-made implants are accompanied
with a set of individualized tools for replicating
the planned bone cuts, custom-made trial
implants and drill guides to facilitate accurate
placement of the prosthesis. Full-scale models
for preoperative planning and intraoperative ref-
erence and guidance are also provided. Accurate
intraoperative placement can, however, be chal-
lenging due to absence of intraoperative flexibil-
ity and the design and manufacture of these
models are time-intensive and costly (Fang et al.
2019).
6 Advanced 3D Visualization and 3D Printing in Radiology 117
Fig. 6.9 (a) Axial CT image demonstrating tumor (yel-
low arrow) with corresponding 3D model with bone (yel-
low) and tumor (blue). (b) Image of the left side, mirrored
to the right, with the plane vertically at the center of the
nose. (c) Mirror image depicted in purple with the original
bone (yellow) and tumor (blue). Note that rotation would
be performed next to ensure proper alignment. Images
courtesy of Nicole Wake, PhD, GE Healthcare
Finally, 3D printing of personalized orthotics
(externally worn medical devices used to modify
the structural and functional characteristics of the
neuromuscular and skeletal system) using medi-
cal imaging data can allow for personalized
solutions that can be advantageous as compared
to standard devices. Orthotics are typically used
in the setting of cerebral palsy, stroke, traumatic
brain injuries, multiple sclerosis, and clubfoot to
support the lower leg and correct imbalance. 3D
printing technology offers design freedom and
manufacture of patient-specific orthotics with the-
oretically optimized biomechanics, improved
functionality, better fit, and aesthetics. Their rela-
tively low cost is an important factor for children
requiring multiple replacements as they grow
(Matsumoto et al. 2015).
6.8 3D Visualization and Modeling
for Abdominal Applications
The use of 3D printing in abdominal interventions
and clinical scenarios is becoming increasingly
common, with applications for surgical planning
at the forefront. Image segmentation is challeng-
ing in abdominal structures as they demonstrate
similar grayscale shades, which renders differen-
tiation between them and their surrounding
vessels and fat difficult to process. Many solid
organ tumors have similar grayscale appearances
compared to the surrounding organ parenchyma,
which makes delineation difficult. In addition,
hepatic parenchyma, vascular, and biliary
structures are closely opposed to each other and
can often overlap or are difficult to distinguish on
conventional 2D images. Furthermore, the vascu-
lar and biliary structures often take oblique,
non-linear courses which are similarly challeng-
ing to comprehend on 2D images (Mitsouras et al.
2015). However, medical teams find 3D
modeling beneficial as abdominal anatomy can
be relatively complex.
118 S. Fidvi et al.
Fig. 6.10 3D model printed of the scapula created with
selective laser sintering printing technology. (a) View
from lateral demonstrates a large anteroinferior glenoid
osteophyte (arrow). (b) View from inferior shows glenoid
retroversion and posterior bony thinning (arrows). (c)3D
model printed using a stereolithography printer. View
from inferolateral demonstrates glenoid biconcavity with
a ridge between the two depressions in the glenoid surface
(dotted line). Reproduced with permission from Wang
et al. (2019)
For abdominal applications, the two organ
systems for which 3D modeling is most widely
performed are hepatobiliary and renal structures
(Mitsouras et al. 2015). These organs are clearly
visible in medical images (CT and MRI) with
smooth, regular borders that make them amenable
to segmentation and reconstruction (Pietrabissa
et al. 2020).
Liver transplant surgeries have been a frequent
subject of 3D modeling (Mitsouras et al. 2015).
There is a relative paucity of cadaveric donors for
the transplant procedures, and many transplant
procurement operations rely on living, healthy
individuals undergoing lobectomies, which can
have high morbidity. Much of this morbidity is
due to inaccurate preoperative characterization of
biliary and vascular structures and suboptimal
estimates of liver volume (Zein et al. 2013).
6 Advanced 3D Visualization and 3D Printing in Radiology 119
Fig. 6.11 (a) Shaded surface volume rendering of a
patient with severe scoliosis. (b) Segmentation and visual-
ization of a patient with scoliosis and a butterfly vertebra.
(c) Virtual 3D model and 3D printed spine models (bottom
right). Images courtesy ofNicole Wake, PhD, GE
Healthcare
Determining the volume of the donor’s liver
and individual lobes is an important component
of operative planning as it ensures adequate post-
operative reserve. Traditionally, these volumes
are generated using modeling software on com-
puter workstations (Fig. 6.13), although several
studies have shown that 3D printed models have
been more accurate in assessing liver volumes
when compared to ex-situ surgical specimens
(Zein et al. 2013). The same volumetric calcula-
tion and anatomic delineation can help when
large portions of liver must be resected for other
reasons than transplantations, such as solitary
tumor resections. The tumor’s relationship to
adjacent vascular and biliary structures, as well
as location within a segment, can be clarified with
these printed models (Fang et al. 2015).
3D modeling also aids in the planning of par-
tial nephrectomies for renal tumor resections
(Silberstein et al. 2014). The kidney normally
has an oblique position within the upper abdo-
men, which can be difficult to visualize on 2D
imaging, and has multiple vascular and excretory
structures that must be carefully considered in
surgical planning, similar to the liver. 3D printing
clarifies the relations between tumors and these
structures for preoperative planning (Fig. 6.14)
(Mitsouras et al. 2015; Wake et al. 2017,2018,
2019). 3D printed models have also been used to
plan the removal of kidneys from living donors in
renal transplantation planning, as well as the
removal of renal stones percutaneously
(Pietrabissa et al. 2020).
The same goals of elucidating tumor location
and relationship to adjacent structures have been
described in the resection of pancreas, spleen, and
bowel tumors and in treating anorectal fistulae
(Marconi et al. 2017; Hamabe and Ito 2017).
The technology has also been implemented in
preoperative planning of abdominal wall hernias
D
and surgical mesh development (Ballard et al.
2018).
120 S. Fidvi et al.
Fig. 6.12 Patient with a complex pelvic tumor showing
(a) axial view with bone segmentation (red) and tumor
segmentation (green), (b) 3D visualization of the left
hemi-pelvis with tumor in the posterior and anterior
views, (c) 3D visualization of the whole pelvis with
tumor, and (d) Posterior and anterior photographs of the
3D printed left hemi-pelvis model printed with material
extrusion technology with the bone (white) and tumor
(pink). Images courtesy of Nicole Wake, PhD, GE
Healthcare
3D imaging is also commonly used during
virtual colonoscopy studies for colon cancer
screening. During these exams, carbon dioxide
gas or room air is insufflated directly into the
colon and a CT scan is performed in the axial
plane. These conventional 2D axial images are
then often processed to generate 3D views to
enhance polyp detection (Geenen et al. 2004).
These views include endoluminal displays,
which mimic the viewpoint of conventional endo-
scopic colonoscopy, or virtual dissection views
which display the entire lumen surface as a flat-
tened image (Silva et al. 2006) (Fig. 6.15).
For prostate cancer, MRI is often used to local-
ize lesions for biopsy, and many clinicians
attempt to determine whether the cells detected
in the resected specimen after prostatectomy
match the findings predicted on the preoperative
MRI. The difficulty in comparing the resected
gland to the MRI is that the prostate is very soft
and often deforms when removed, rendering its
shape and morphology different than that on
imaging. To ameliorate this pitfall, institutions
have developed MRI-based patient-specific3
models to serve as a mount for the removed
gland (Makinen and Makinen 1971; Newman
1971; Wu et al. 2019). The model holds the
prostate in place as it is sliced to match the loca-
tion and orientation of the MRI lesions. One study
found that using these patient-specific mounts
was more accurate in correlating histology and
MRI imaging than using standard slicing
techniques (Costa et al. 2017). Some urologists
also use 3D models for preoperative planning of
prostatectomies and partial gland treatment, par-
ticularly in assessing the location of
6 Advanced 3D Visualization and 3D Printing in Radiology 121
Fig. 6.13 Automated liver volume analysis performed on the GE AW workstation showing liver segmentation, 3D
visualization, and total volume calculation. Images courtesy of Nicole Wake, PhD, GE Healthcare
Fig. 6.14 Patient with Tuberous Sclerosis and multiple
angiomyolipomas showing (a) coronal MR image with a
left upper pole mass (Tuberous Sclerosis complex
associated renal cell carcinoma) highlighted in green, (b)
3D model shown on computer screen with a lattice design
for the kidney parenchyma, and (c) photograph of the 3D
printed model. The kidney parenchyma was designed as a
lattice structure so the internal anatomy could be properly
visualized in the 3D printed model which was printed with
binder jetting technology (CJP 660, 3D Systems). Images
courtesy of Nicole Wake, PhD, GE Healthcare
D
neurovascular bundles and of the bladder neck to
ensure that these are avoided (Jomoto et al. 2018;
Wake et al. 2016,2020,2021).
122 S. Fidvi et al.
Fig. 6.15 CT Colonography with 3D processing. (a)
supine and (b) prone axial CT images demonstrating a
polyp in the ascending colon (arrow). (c)3
reconstruction highlights the polyp (arrow). Images cour-
tesy of Dr. Judy Yee, Montefiore Medical Center
6.9 3D Visualization
for Neurological Applications
Neurological disorders such as brain tumors,
strokes, and hemorrhage represent a major global
health burden. In neuroradiology, 3D reformats of
CT head and neck images are commonly used
clinically for improved visualization of complex
facial fractures and vertebral body injuries, where
these reconstructions have been shown to
improve the delineation of fracture line extent
and displacement (Kaur and Chopra 2010). 3D
reconstructed fracture maps of thoracic and lum-
bar vertebral bodies also improve understanding
of fracture patterns to improve clinical decision-
making (Su et al. 2019).
Similar to conventional CT, CT angiography
(CTA) examinations are crucial for the evaluation
of cerebrovascular pathology. In cases of multiple
intracranial aneurysms, CTA source images can
be used to determine the pattern and location of
hemorrhage, as well as to determine the acuity of
hemorrhage and the presence of active bleeding
(Sanelli et al. 2005).
MRI is another valuable data source for high-
resolution visualization of neuroanatomy.
Techniques imaging the cerebral vasculature
such as MR angiography (MRA) or contrast-
enhanced MRA are now increasingly utilized in
their 3D form to help provide a more comprehen-
sive analysis prior to surgical and/or endovascular
interventions. For the surgical management of
meningiomas and intracranial arteriovenous
malformations, high temporal and spatial resolu-
tion 3D MRA studies have been shown to reduce
the number of invasive diagnostic angiograms by
identifying and classifying fistulas, and by
illustrating major feeding arteries in the evalua-
tion of the meningiomas (Reinacher et al. 2007).
In addition, MR techniques such as diffusion
spectrum imaging can also be used to characterize
the 3D diffusional displacement of water
molecules, allowing for enhanced comprehension
of the connectivity pathways in the brain
(Wedeen et al. 2005; Callaghan 1993). Advanced
image visualization and analysis can also help to
quantify brain structures (e.g., tumor size and
shape) and highlight their subtle changes
over time.
6.10 3D Printing in Neurosurgery
Studies reporting on 3D printing in neurosurgery
have primarily been focused on the creation of
patient-specific models for surgical planning
(Fig. 6.16). Surgical planning for brain tumor
resection typically involves using MRI to sepa-
rate tumor and surrounding normal tissue. Despite
this technology, anatomic relationships
demonstrated on 2D MRI images may still be
difficult to appreciate before and during the pro-
cedure. 3D printing technology permits MRI data
to be converted to patient-specific models,
improving comprehension of complex anatomic
relationships between tumor, blood vessels, bone,
and adjacent normal tissue, and facilitating
surgeons’conceptualization of the location and
extent of neoplastic tissue (Oishi et al. 2013;
Spottiswoode et al. 2013) (Fig. 6.17).
6 Advanced 3D Visualization and 3D Printing in Radiology 123
Fig. 6.16 Multi-colored 3D printed model of a skull base
tumor (blue) shown alongside associated vasculature (red)
and bone (clear). The model was printed using material
jetting and is shown with corresponding images from the
(a) side view and (b) top-down view. The model helped to
guide the surgical approach for tumor resection. Images
courtesy of Nicole Wake, PhD, GE Healthcare
Printed neurological models illustrating the
associations of tumor to its surrounding
anatomical structures have also allowed surgeons
to simulate surgical approaches (Oishi et al.
2013). For ventriculostomy procedures,
3D-printed simulators are a cost-effective alterna-
tive to virtual haptic simulators while providing a
realistic training experience (Bova et al. 2013;
Ryan et al. 2015; Waran et al. 2014c,2015).
These simulators involve a reusable base segment
and a disposable segment for practicing the tech-
nique. Some of these devices involve using a
fluid-filled ventricular system providing variable
pressure to simulate pathology (Ryan et al. 2015;
Waran et al. 2015). Another simulator makes use
of an electromagnetic tracking system registered
to a virtual image of positioning once the skin,
skull and dura are traversed (Bova et al. 2013).
An additional role of 3D printing in simulation
development is in the field of transsphenoidal
endoscopic pituitary removal. Multiple studies
have made use of skull replicas to practice this
surgical approach (Inoue et al. 2013; Waran et al.
2012). The printed skulls are registered to surgi-
cal navigation software to better depict the surgi-
cal procedure and to allow the model to be paired
in real-time with the neuroimages (Waran et al.
2012,2014c).
With the shift towards endovascular treatment
of aneurysms, simulation plays a key role for
trainees due to the lack of realistic cadaveric
tissue. 3D printed replicas of hollow elastic
aneurysms improve trainees’procedural expertise
by offering the opportunity to visualize aneurysm
shape and to practice aneurysm clipping
(Mashiko et al. 2015). A more realistic simulation
of the different tissue types is provided by using
materials with varying densities and
consistencies. Li et al. found in a large-scale
study that medical students using 3D printed
models had a significantly improved understand-
ing of fracture anatomy when compared with
students using conventional CT images, but no
difference in the use of 3D models vs. virtual
renderings (Mashiko et al. 2015). Finally, 3D
printed neurosurgical models have also been use-
ful for training for brain biopsies, with studies
demonstrating that with the use of 3D printed
simulators, less experienced trainees required
shorter duration and fewer attempts to complete
the task (Waran et al. 2014a,b).
124 S. Fidvi et al.
Fig. 6.17 3D printed
cervical spine tumor
(C2 chordoma) model
showing (a) axial MR
image with tumor
segmentation (green), (b)
axial CT image showing
bone and vertebral artery
segmentation (yellow and
red respectively), (c)
Virtual 3D model showing
the bone (white), vertebral
arteries (red) and tumor
(green), and (d) 3D printed
model printed in multiple
colors with binder jetting
technology (CJP 660, 3D
Systems, Rock Hill, SC).
Images courtesy of Nicole
Wake, PhD, GE Healthcare
6.11 Digital Technologies
in Craniomaxillofacial Surgery
Virtual oral and maxillofacial surgeries using
templating with 3D technologies originated in
the mid-1990s (Xia et al. 2000). Digital
osteotomies are simulated in computer-aided-
design software during these procedures and
transferred directly to the patient with a patient-
specific surgical guide designed from the medical
images. Providing personalized, tailored
solutions in the operating room can improve sur-
gical accuracy and minimize surgical time,
thereby improving patient outcomes (Ballard
et al. 2020, Arce et al. 2020, Alexander and
Wake 2022). Common surgical procedures that
utilize these technologies include orthognathic
surgery (also known as corrective jaw surgery),
distraction osteogenesis (a treatment to lengthen
the craniofacial skeleton), and free flap recon-
struction (Christensen 2018).
In orthognathic surgery, 3D printing has been
used to create anatomic models, occlusal splints,
osteotomy guides, repositioning guides, fixation
plates/implants, and spacers (Lin et al. 2018). For
distraction osteogenesis procedures, 3D-printed
surgical guides decrease operative and ventilation
times, as well as reduce hospital stays compared
to traditional treatments (Mao et al. 2019). In
mandibular free flap procedures, the jaw is rebuilt
using either autologous or donor bone. The most
common autologous bone used for this purpose is
the fibula, the smaller of the two bones in the
lower leg. Creating patient-specific cutting guides
from CT data precisely delineates the length and
angles at which both the mandible and fibula are
cut and optimizes autologous bone fitting to the
resected area (Alexander and Wake 2022).
6 Advanced 3D Visualization and 3D Printing in Radiology 125
6.12 Intraoperative Navigation
Intraoperative navigation is a valuable tool for
complex neurosurgical procedures such as cranio-
facial surgeries, orthognathic procedures and
endoscopic sinus surgeries to ensure proper
tumor resection, bone segment repositioning,
and timely bone graft reconstruction (Andrews
et al. 2015; Zavattero et al. 2015; Bolzoni Villaret
et al. 2014).
CT or MRI-guided stereotactic neurosurgery
enhances safe and accurate targeting of deep brain
structures. Neurosurgeons can insert a probe into
many lesions or anatomic locations in the brain
through this imaging guidance to perform
location-specific procedures such as lesion
biopsy, abscess drainage, pharmaceutical agent
instillation, or electrode implantation (Lunsford
2012). In otolaryngology, 3D stereotactic guided
sinus surgery is routinely used in the field of
endoscopic sinus surgery. Due to the fatality of
the complications which can arise from endo-
scopic sinus surgery, even the most experienced
surgeons value as much information as possible
intraoperatively. Clinically, studies have found
that the various CT/MRI-guided navigation
systems have an accuracy of approximately
1 mm and have the benefit of increased margin
of intraoperative safety (Caversaccio and
Freysinger 2003).
6.13 3D Visualization and Modeling
for Breast Applications
Breast cancer is impacted by a multitude of
factors, including cancer stage, prognostic factors
and patient-specific factors (Santiago et al. 2019).
Early-stage breast cancer is typically treated with
breast conservation surgery (BCS) using a com-
bination of radiation and/or chemotherapy in
place of a mastectomy. Treatment is guided by
the need to balance achievement of tumor-free
margins with satisfactory cosmesis (Santiago
et al. 2019). The utilization of 3D imaging for
breast cancer management, including CT, MRI,
and 3D mammography, allows for optimized
patient autonomy, improved tumor-free margins
for BCS, and advances in treatment. Furthermore,
the ability for a patient to hold a tangible depic-
tion of their breast lesion can help patients under-
stand the potential treatment options for their
cancer and allow them to take an active role in
decision-making (Fig. 6.18).
3D imaging and printing provides the surgeon
with a more complete conceptualization of a
breast lesion, reduces operating times, and limits
the number of repeat operations (Schulz-
Wendtland et al. 2017) Utilizing MRI informa-
tion, a study created personalized 3D printed
models and bra-like plastic locators, allowing
surgeons to mark the edges of a tumor on the
breast surface and to inject blue dye into the
breast 1 cm from the tumor edges (Barth Jr. et al.
2017). This technique allowed for accurate local-
ization of 18 of 19 cancers with all 68 blue dye
injections sufficiently beyond the tumor edges
(Barth Jr. et al. 2017). An additional study
demonstrated that the utilization of 3D printed
molds as a guide for BCS resulted in preserving
normal breast tissue while achieving negative
margins (Rao et al. 2018). Further, a study has
shown potential for semi-automated delineation
of a breast lesion using MRI information to create
subsequent 3D printing (Schulz-Wendtland et al.
2017), which has potential to expedite
prototyping.
The literature provides a case of breast cancer
that was favored to be treated with mastectomy,
as BCS was thought to necessitate significant
breast size alteration due to the extent of disease
(Santiago et al. 2019). Upon review of a 3D
printed model of this particular patient’s tumor,
the patient and surgeon agreed on BCS, and not
only was adequate cosmesis achieved, but post-
operative imaging demonstrated no recurrent dis-
ease at 6 months (Santiago et al. 2019). This
example illustrates the utility of 3D printing for
complex breast cancer patients, and explains why
institutions, such as MD Anderson routinely cre-
ate models, as seen in the provided examples
(Figs. 6.19,6.20, and 6.21).
Accurate surgical resection relies on palpation,
which can make for imprecise breast lesion local-
ization (Schulz-Wendtland et al. 2017). Though
preoperative lesion size assessments are accurate
for most women, numerous factors including
tumor size and breast density may influence pre-
operative assessment of a breast lesion (Schulz-
Wendtland et al. 2017). Often a woman will have
a wire localization procedure prior to excision of
nonpalpable breast cancer, wherein a radiologist
localizes the cancer’s location using a wire with
imaging guidance. Alternatively, localization can
be performed with alternate markers, such as
radioactive seeds and radiofrequency identifica-
tion tags. Despite the utilization of wire localiza-
tion, the technique still requires the surgeon to
estimate the 3D position of a cancer from 2D
mammographic images (Barth Jr. et al. 2017).
Furthermore, wires may enter the breast at a
substantial distance from the site of the cancer.
It follows that this imprecision results in positive
margins requiring re-excisions in 22 to 34% of
cases (Barth Jr. et al. 2017; Lovrics et al. 2011;
Schnabel et al. 2014; Chagpar et al. 2015; Rao
et al. 2018), and in some subgroups, the repeat
excision rate can be as high as 40% (Schulz-
Wendtland et al. 2017).
126 S. Fidvi et al.
Fig. 6.18 Patient with a
large breast mass showing
(a) 3D visualization of the
skin (pink) shown with the
segmented tumor (purple),
and arterial supply (red). (b)
3D printed model of the
tumor and vasculature. (c)
3D printed model of the
tumor (red) shown with the
breast from the chest wall
perspective. Images
courtesy of Nicole Wake,
PhD, GE Healthcare
3D imaging also has potential treatment
advances for breast cancer. High dose rate
(HDR) breast brachytherapy, radiation utilized
for breast cancer treatment, can potentially be
optimized utilizing 3D technology. For instance,
a study found that using a combination of a cath-
eter optimization procedure and a computer-
controlled robotic 3D ultrasound system allowed
for real-time, rapid guidance and planning for
treatments down to 14 and 12 catheters (Poulin
et al. 2015). Additionally, utilization of a 3D
template has been shown to be a safe and repro-
ducible method to assess the lesion volume for
HDR multicathether brachytherapy (Aristei et al.
2019). Finally, 3D printing has potential to reduce
heart and lung radiation doses during post-
mastectomy radiotherapy, via creating
customized virtual boluses of electron beam ther-
apy (Yang et al. 2019). These results are impor-
tant as the rate of ischemic heart disease has been
shown to be proportional to the mean cardiac
dose of radiotherapy for breast cancer (Darby
et al. 2013), thus dose optimization can have a
potentially profound impact on long-term longev-
ity of breast cancer survivors.
6 Advanced 3D Visualization and 3D Printing in Radiology 127
Fig. 6.19 68-year-old woman with left breast invasive
ductal carcinoma with micropapillary and mucinous
features and DCIS cribriform with micropapillary growth
patterns and comedonecrosis. (a) Lateromedial mammo-
gram demonstrates a focal asymmetry (rectangle). (b)
Sagittal dynamic contrast-enhanced MRI demonstrates
non-mass clumped enhancement (rectangle) in the upper
inner quadrant with a post-biopsy clip corresponding to
the focal asymmetry noted by mammography. (c) Lateral
views of the 3D printed model with (left) overlying skin
obscuring the tumor detail and without (right) the
overlying skin, both printed at 65% scale with the skin
(clear), tumor (yellow), and pectoris muscle (gray). Sup-
port structures for the tumor arise from the medial skin
(asterisk). (d) Photograph of the patient with the models
demonstrating significant lateral gland displacement when
the patient is in the supine position. Disease localized
wires (numbered) corresponding to the area of disease
(yellow) in the 3D printed model. Images courtesy of
Dr. Lumarie Santiago, MD Anderson Cancer Center
6.14 3D Visualization and Modeling
for Fetal Medicine
While 2D Ultrasound is of paramount importance
in the examination of fetal anatomy and antenatal
detection of congenital anomalies, 3D ultrasound
and MRI are important complementary imaging
modalities which can enhance pregnancy man-
agement in select congenital fetal malformations.
The two main barriers to high-quality obstetri-
cal 3D ultrasound are bone shadowing and fetal
128 S. Fidvi et al.
Fig. 6.20 72-year-old woman with the left breast DCIS
solid type with focal cribriform differentiation with focal
central necrosis and involvement by calcifications preop-
erative imaging including mammogram and breast MRI.
(a) Lateromedial mammogram demonstrates a focal asym-
metry associated with calcifications in the left breast
(oval). (b) Dynamic contrast-enhanced sagittal breast
MRI image of the left breast demonstrates non-mass,
clumped enhancement in the upper outer quadrant (oval)
corresponding to the focal asymmetry and calcifications
noted by mammography. (c) lateral view of the 3D printed
model depicting I-125 seed placement in red
corresponding to their location in the post-procedure
mammogram circles. Images courtesy of Dr. Lumarie
Santiago, MD Anderson Cancer Center
Fig. 6.21 Photographs of the patient from this figure
showing (a) Significant lateral displacement of the breast
with I-125 seed activity marked on the skin arrows. (b)
Circumvertical incision provided excellent exposure for
excision of the bracketed area of disease. (c) Smaller
scale 3D printed model obtained from imaging and prone
position versus expected ptosis from macromastia in
supine position. Images courtesy of Dr. Lumarie Santiago,
MD Anderson Cancer Center
movement, both of which require a high degree of
operator skill. The lack of uniformity in industry
standards regarding the storage format for volume
datasets generated by 3D ultrasound also limits
widespread use (Gonçalves 2016).
6 Advanced 3D Visualization and 3D Printing in Radiology 129
3D ultrasound allows superior depiction of
fetal surface anomalies and contributes to the
improved first-trimester prenatal diagnosis of
neurological defects (anencephaly, acrania,
encephalocele, and holoprosencephaly), craniofa-
cial anomalies (orofacial clefts and cyclopia),
abdominal wall defects (omphalocele and
gastroschisis) and musculoskeletal dysplasias.
The more severe malformations are an important
cause of childhood mortality and morbidity, with
the latter having long-term financial and psycho-
social implications for the affected child and their
family. The use of 3D ultrasound, particularly the
surface rendering mode, allows parents to better
conceptualize the malformation, thereby enhanc-
ing their ability to participate in prenatal
counseling and make informed decisions (Araujo
Júnior et al. 2015).
Figure 6.22 illustrates this concept with an
example of anencephaly, a lethal open neural
tube defect characterized by absence of the cra-
nial vault with variable amounts of angiomatous
stroma at the base of the skull (Callen 2009;
Nyberg et al. 2003; Akinmoladun et al. 2020).
Holoprosencephaly is a rare congenital brain
malformation characterized by partial or total fail-
ure of separation of the brain tissue in early
development. In its most severe form, alobar
holoprosencephaly, cleavage fails with a resultant
single midline forebrain with a primitive
monoventricle, often associated with a large
dorsal cyst (Winter et al. 2015). Associated cra-
niofacial anomalies include proboscis (a snout-
like protrusion from the face/forehead) and
cyclopia (a single palpebral fissure and a single
midline orbit) as depicted in Fig. 6.23 (Sepulveda
et al. 2012).
Visualization of the fetal face is an important
component of obstetrical 2D ultrasound which
can diagnose and classify orofacial clefts (Callen
2009, Nyberg et al. 2003) by depicting the fetal
profile, upper lip and alveolar ridge in the sagittal,
coronal, and axial views, respectively. The advent
of 3D ultrasound with its surface rendering mode
(Fig. 6.24) can generate detailed views of the fetal
face at different stages of development, allowing
the diagnosis of cleft lip and palate as early as the
first trimester when a flat palate and absence of
shadowing from adjacent non-ossified bones
permits better visualization (Sepulveda et al.
2012; Werner et al. 2010).
The excellent soft tissue contrast capabilities
of MRI have led to it surpassing ultrasound in the
diagnosis and prognostication of congenital fetal
anomalies of the brain and heart. The principal
disadvantages of MRI are image data disruption
due to fetal motion and maternal breathing. To
minimize these, fetal MRI acquisition protocols
are restricted to two-dimensional sequences with
high-resolution reconstruction of 3D motion-
corrected data (Davidson et al. 2021).
While 2D and 3D ultrasound can easily detect
fetal neck masses and associated polyhydramnios
due to impaired swallowing; an important limita-
tion of these techniques is the inability to directly
visualize the airway, thus limiting assessment of
the degree of airway obstruction. MRI plays a
crucial role in identifying fetuses at a risk of
perinatal asphyxia by assessing the size, location,
and internal characteristics of the mass as well as
the degree of tracheal deviation, compression of
the upper airway and oropharyngeal extension as
shown in Fig. 6.25. The advent of ex-utero
intrapartum life-saving treatment measures in
specialist centers has proved life-saving in fetuses
with a critical airway and is reliant on the com-
plex anatomical detail provided by MRI
(Sepulveda et al. 2012).
MRI volumetry allows precise estimates of
total lung volume, assisting neonatal and pediatric
surgical specialists in planning the prenatal and
postnatal care of babies with congenital diaphrag-
matic hernia, congenital pulmonary airway
malformations and anterior abdominal wall
defects (Davidson et al. 2021).
Medical imaging, including ultrasound, CT,
and MRI, plays a valuable role in the evaluation
of shared anatomy in all types of conjoined twins
(e.g., ventral, dorsal, or lateral union) and is
instrumental in decision-making in terms of pre-
natal planning and managing parental
expectations. Prenatal counseling in these cases
focuses on the expected survivability without and
with separation as well as the identification of
additional anomalies affecting one of the con-
joined twins. 3D printed models allow the surgi-
cal team to discuss planes of separation and
devise an approach to the multi-stage separation
procedure.
130 S. Fidvi et al.
Fig. 6.22 (a) 2D ultrasound image of a fetus showing
absence of the cranium (anencephaly) giving a frog eye
appearance (white arrow). (b) 3D image of the fetus
confirming the absent cranium (blue arrow). Reproduced
with open-access permission from Akinmoladun et al.
(2020)
Fig. 6.23 Facial features in a fetus with
holoprosencephaly. (a) 2D ultrasound shows proboscis
and severe midfacial hypoplasia. (b) 3D ultrasound sur-
face rendered image shows proboscis, cyclopia, and
arrhinia. (c) a photograph of the neonate with severe facial
malformations. Reproduced with permission from
Sepulveda et al. (2012)
One example of conjoined twins, craniopagus,
is a form of dorsal conjoined twinning with fusion
at the skull (Fig. 6.26). CT is crucial to evaluate
the degree of calvarial bony fusion and MRI is
vital for assessment of the brain and spinal cord
anatomy (Mehollin-Ray 2018). Furthermore, 3D
visualization and printing technologies can allow
for the separation of these twins at a young age,
6 Advanced 3D Visualization and 3D Printing in Radiology 131
Fig. 6.24 Fetus with a cleft lip at 28 weeks’gestation. (a) 3D ultrasound image, (b) 3D virtual model and (c) physical
3D printed model built using a powder-based system. Reproduced with permission from Werner et al. (2010)
Fig. 6.25 Fetal cervical teratoma case. A fetal neck mass
is clearly depicted with (a) 2D ultrasound and (b) 3D-
ultrasound. Fetal MRI shows the internal characteristics
of the mass, polyhydramnios, and partial compression of
the upper airway (c,d). (e) Photograph of the mass at birth
and (f) at the time of surgery (Reproduced with permission
Sepulveda et al. 2012)
therefore harnessing the regenerative capacity of
the brains (Heuer et al. 2019).
132 S. Fidvi et al.
Fig. 6.26 Craniopagus twins showing (a) CT cross-
section with bone segmentation, (b) MRI cross-section
with brain tissue segmentation. (c) 3D printed skull
models printed with stereolithography (3D Systems,
Rock Hill, SC) showing internal vasculature with letters
indicating proper placement for guides. (d) 3D printed
brain models printed with binder jetting technology (CJP
660, 3D Systems, Rock Hill, SC) as two parts to demon-
strate the intended separation plan with the venous sinus.
(e) 3D-printed brain models shown placed together.
Images courtesy of Nicole Wake, PhD, GE Healthcare
6.15 Extended Reality Technologies
and Potential Future
Applications
Advanced 3D medical imaging is used to support
a wide range of surgical operations and for moni-
toring disease progression. Combining 3D imag-
ing methods with the use of new technologies
such as 3D printing can help improve patient
outcomes by reducing operating times, enhancing
precision, and decreasing risk. In addition to 3D
printing, other advanced technologies such as
extended reality can be used to better visualize
medical imaging data. Extended reality is a term
used to describe all real and virtual combined
environments with human-machine interactions
that are generated by computer technologies.
Regarding these technologies, the most popular
are Virtual Reality (VR) and Augmented Reality
(AR). VR is the use of computer technology to
create a completely immersive simulation of a 3D
environment that can be interacted with in a real-
istic, physical method by a person using hand
controllers (Heilig 1960). In contrast, AR uses
computer technology to place virtual 3D objects
within the real environment in the form of an
overlay (Sutherland 1968).
Improved image visualization has been made
possible with advancements of computer power;
however, advanced image post-processing typi-
cally is a laborious time-consuming process.
Automated workflows that utilize machine
learning technologies are expected to reduce the
time required to create this 3D content and to
improve the accuracy, thereby allowing 3D
modeling to be performed and implemented more
routinely.
6 Advanced 3D Visualization and 3D Printing in Radiology 133
In the realm of 3D printing, there is ongoing
research into the clinical applications of 3D print-
ing of biomaterials. For example, animal studies
involving 3D-printed biocompatible scaffolds
demonstrate encouraging results for tracheal
reconstruction (Park et al. 2015; Chang et al.
2014; Goldstein et al. 2015). Studies including
customized tympanic membrane printing with
improved resistance compared to the temporalis
fascia and customized septal buttons for septal
perforations with superior compliance and effec-
tiveness have been published (Kozin et al. 2016;
Onerci Altunay et al. 2016). For the treatment of
intervertebral disc degeneration, pre-clinical stud-
ies are currently ongoing to 3D print an elastic
scaffold and deposit substrate/cells to form a
regenerated intervertebral disc as an alternative
to spinal fusion or artificial disc replacement sur-
gery (Whatley et al. 2011). Combining advanced
radiological imaging methods with bioprinting
has huge potential for advancing personalized
medicine and positively impacting patient care.
References
Akinmoladun JA, Oboro VO, Adelakun TI (2020) Initial
experience with 3d-ultrasound as an adjunct to
2dultrasound in fetal anomaly diagnosis in a Nigerian
diagnostic facility. Ann Ib Postgrad Med 18:170–177
Al Najjar M, Mehta SS, Monga P (2018) Three dimen-
sional scapular prints for evaluating glenoid morphol-
ogy: an exploratory study. J Clin Orthop Trauma 9:
230–235
Alexander AE, Wake N (2022) 3D printed anatomic
models and guides. Medical imaging technologies
and imaging considerations for 3D printed anatomic
models. 3D printing for the radiologist. Elsevier
Ali A, Ballard DH, Althobaity W, Christensen A,
Geritano M, Ho M, Liacouras P, Matsumoto J,
Morris J, Ryan J, Shorti R, Wake N, Rybicki FJ,
Sheikh A (2020) Clinical situations for which 3D
printing is considered an appropriate representation or
extension of data contained in a medical imaging
examination: adult cardiac conditions. 3D Print Med
6:24
Andrews BT, Thurston TE, Tanna N, Broer PN, Levine
JP, Kumar A, Bradley JP (2015) A multicenter experi-
ence with image-guided surgical navigation: broaden-
ing clinical indications in complex craniomaxillofacial
surgery. J Craniofac Surg 26:1136–1139
Andrushchuk U, Adzintsou V, Nevyglas A, Model H
(2018) Virtual and real septal myectomy using
3-dimensional printed models. Interact Cardiovasc
Thorac Surg 26:881–882
Araujo Júnior E, Rolo LC, Tonni G, Haeri S, Ruano R
(2015) Assessment of fetal malformations in the first
trimester of pregnancy by three-dimensional ultraso-
nography in the rendering mode. Pictorial essay. Med
Ultrason 17:109–114
Arce K, Morris JM, Alexander AE, Ettinger KS (2020)
Developing a point-of-care manufacturing program for
craniomaxillofacial surgery. Atlas Oral Maxillofac
Surg Clin North Am 28:165–179
Aristei C, Lancellotta V, Piergentini M, Costantini G,
Saldi S, Chierchini S, Cavalli A, Di Renzo L,
Fiorucci O, Guasticchi M, Bini V, Ricci A (2019)
Individualized 3D-printed templates for high-dose-
rate interstitial multicathether brachytherapy in patients
with breast cancer. Brachytherapy 18:57–62
Athanassopoulos GD (2016) 3D Printing for left atrial
appendage (LAA) modeling based on transesophageal
echocardiography: a step forward in closure with LAA
devices. Cardiology 135:249–254
Ballard DH, Trace AP, Ali S, Hodgdon T, Zygmont ME,
Debenedectis CM, Smith SE, Richardson ML, Patel
MJ, Decker SJ, Lenchik L (2018) Clinical applications
of 3D printing: primer for radiologists. Acad Radiol
25:52–65
Ballard DH, Mills P, Duszak R Jr, Weisman JA, Rybicki
FJ, Woodard PK (2020) Medical 3D printing cost-
savings in orthopedic and maxillofacial surgery: cost
analysis of operating room time saved with 3D printed
anatomic models and surgical guides. Acad Radiol 27:
1103–1113
Barth RJ Jr, Krishnaswamy V, Paulsen KD, Rooney TB,
Wells WA, Rizzo E, Angeles CV, Marotti JD, Zuurbier
RA, Black CC (2017) A patient-specific 3D-printed
form accurately transfers supine MRI-derived tumor
localization information to guide breast-conserving
surgery. Ann Surg Oncol 24:2950–2956
Bastawrous S, Wake N, Levin D, Ripley B (2018)
Principles of three-dimensional printing and clinical
applications within the abdomen and pelvis. Abdom
Radiol (NY) 43:2809–2822
Berhouet J, Gulotta LV, Dines DM, Craig E, Warren RF,
Choi D, Chen X, Kontaxis A (2017) Preoperative
planning for accurate glenoid component positioning
in reverse shoulder arthroplasty. Orthop Traumatol
Surg Res 103:407–413
Bernstein MA, Huston J III, Ward HA (2006) Imaging
artifacts at 3.0T. J Magn Reson Imaging 24:735–746
Biglino G, Capelli C, Wray J, Schievano S, Leaver LK,
Khambadkone S, Giardini A, Derrick G, Jones A,
Taylor AM (2015) 3D-manufactured patient-specific
models of congenital heart defects for communication
in clinical practice: feasibility and acceptability. BMJ
Open 5:e007165
Bolzoni Villaret A, Battaglia P, Tschabitscher M,
Mattavelli D, Turri-Zanoni M, Castelnuovo P, Nicolai
P (2014) A 3-dimensional transnasal endoscopic jour-
ney through the paranasal sinuses and adjacent
skull base: a practical and surgery-oriented perspec-
tive. Neurosurgery 10(Suppl 1):116–120.
discussion 120
134 S. Fidvi et al.
Bova FJ, Rajon DA, Friedman WA, Murad GJ, Hoh DJ,
Jacob RP, Lampotang S, Lizdas DE, Lombard G,
Lister JR (2013) Mixed-reality simulation for neuro-
surgical procedures. Neurosurgery 73(Suppl 1):
138–145
Brown RN, Yu-Chung N, Haacke EM, Thompson MR,
Venkatesan R (2014) Magnetic resonance imaging:
physical principles and sequence design, p Wiley-
Blackwell
Burns J, Mansouri M, Wake N (2022) 3D Printing in
radiology education. Medical imaging technologies
and imaging considerations for 3D printed anatomic
models. 3D printing for the radiologist. Elsevier
Callaghan P (1993) Principles of nuclear magnetic reso-
nance microscopy. Oxford University Press
Callen PW (2009) Ultrasonography in obstetrics and gyne-
cology, vol 251, 5th edn. Radiology, pp 650–651
Caversaccio M, Freysinger W (2003) Computer assistance
for intraoperative navigation in ENT surgery. Minim
Invasive Ther Allied Technol 12:36–51
Chagpar AB, Killelea BK, Tsangaris TN, Butler M,
Stavris K, Li F, Yao X, Bossuyt V, Harigopal M,
Lannin DR, Pusztai L, Horowitz NR (2015) A
randomized, controlled trial of cavity shave margins
in breast cancer. N Engl J Med 373:503–510
Chang JW, Park SA, Park JK, Choi JW, Kim YS, Shin YS,
Kim CH (2014) Tissue-engineered tracheal reconstruc-
tion using three-dimensionally printed artificial tra-
cheal graft: preliminary report. Artif Organs 38:E95–
e105
Chepelev L, Hodgdon T, Gupta A, Wang A, Torres C,
Krishna S, Akyuz E, Mitsouras D, Sheikh A (2015)
Medical 3D printing for vascular interventions and
surgical oncology: a primer for the 2016 radiological
society of North America (RSNA) hands-on course in
3D printing. 3D Print Med 2:5
Chepelev L, Wake N, Ryan J, Althobaity W, Gupta A,
Arribas E, Santiago L, Ballard DH, Wang KC,
Weadock W, Ionita CN, Mitsouras D, Morris J,
Matsumoto J, Christensen A, Liacouras P, Rybicki
FJ, Sheikh A (2018) Radiological Society of North
America (RSNA) 3D printing Special Interest Group
(SIG): guidelines for medical 3D printing and appro-
priateness for clinical scenarios. 3D Print Med 4:11
Christensen AM (2018) The digital thread for personalized
craniomaxillofacial surgery. Digital technologies in
craniomaxillofacial surgery. Springer
Costa DN, Chatzinoff Y, Passoni NM, Kapur P,
Roehrborn CG, Xi Y, Rofsky NM, Torrealba J,
Francis F, Futch C, Hagens P, Notgrass H, Otero-
Muinelo S, Pedrosa I, Chopra R (2017) Improved
magnetic resonance imaging-pathology correlation
with imaging-derived, 3d-printed, patient-specific
whole-mount molds of the prostate. Investig Radiol
52:507–513
Costello JP, Olivieri LJ, Su L, Krieger A, Alfares F,
Thabit O, Marshall MB, Yoo SJ, Kim PC, Jonas RA,
Nath DS (2015) Incorporating three-dimensional print-
ing into a simulation-based congenital heart disease
and critical care training curriculum for resident
physicians. Congenit Heart Dis 10:185–190
Darby SC, Ewertz M, Mcgale P, Bennet AM, Blom-
Goldman U, Brønnum D, Correa C, Cutter D,
Gagliardi G, Gigante B, Jensen MB, Nisbet A,
Peto R, Rahimi K, Taylor C, Hall P (2013) Risk of
ischemic heart disease in women after radiotherapy for
breast cancer. N Engl J Med 368:987–998
Davidson JR, Uus A, Matthew J, Egloff AM, Deprez M,
Yardley I, De Coppi P, David A, Carmichael J,
Rutherford MA (2021) Fetal body MRI and its appli-
cation to fetal and neonatal treatment: an illustrative
review. Lancet Child Adolesc Health 5:447–458
Eisenmenger LB, Wiggins RH, Fults DW, Huo EJ (2017)
Application of 3-dimensional printing in a case of
osteogenesis imperfecta for patient education, ana-
tomic understanding, preoperative planning, and
intraoperative evaluation. World Neurosurg 107:
1049.e1–1049.e7
El Sabbagh A, Eleid MF, Matsumoto JM, Anavekar NS,
Al-Hijji MA, Said SM, Nkomo VT, Holmes DR, Rihal
CS, Foley TA (2018) Three-dimensional prototyping
for procedural simulation of transcatheter mitral valve
replacement in patients with mitral annular calcifica-
tion. Catheter Cardiovasc Interv 92:E537–e549
Fang C, Fang Z, Fan Y, Li J, Xiang F, Tao H (2015)
Application of 3D visualization, 3D printing and 3D
laparoscopy in the diagnosis and surgical treatment of
hepatic tumors. Nan Fang Yi Ke Da Xue Xue Bao 35:
639–645
Fang C, Cai H, Kuong E, Chui E, Siu YC, Ji T, Drstvenšek
I(2019) Surgical applications of three-dimensional
printing in the pelvis and acetabulum: from models
and tools to implants. Unfallchirurg 122:278–285
Fishman EK, Ney DR, Heath DG, Corl FM, Horton KM,
Johnson PT (2006) Volume rendering versus maxi-
mum intensity projection in CT angiography: what
works best, when, and why. Radiographics 26:905–
922
Geenen RW, Hussain SM, Cademartiri F, Poley JW,
Siersema PD, Krestin GP (2004) CT and MR
colonography: scanning techniques, postprocessing,
and emphasis on polyp detection. Radiographics 24:
e18
Goitein O, Fink N, Guetta V, Beinart R, Brodov Y,
Konen E, Goitein D, Di Segni E, Grupper A, Glikson
M (2017) Printed MDCT 3D models for prediction of
left atrial appendage (LAA) occluder device size: a
feasibility study. EuroIntervention 13:e1076–e1079
Goldstein TA, Smith BD, Zeltsman D, Grande D, Smith
LP (2015) Introducing a 3-dimensionally printed,
tissue-engineered graft for airway reconstruction: a
pilot study. Otolaryngol Head Neck Surg 153:1001–
1006
6 Advanced 3D Visualization and 3D Printing in Radiology 135
Gonçalves LF (2016) Three-dimensional ultrasound of the
fetus: how does it help? Pediatr Radiol 46:177–189
Goo HW, Park SJ, Yoo SJ (2020) Advanced medical use
of three-dimensional imaging in congenital heart dis-
ease: augmented reality, mixed reality, virtual reality,
and three-dimensional printing. Korean J Radiol 21:
133–145
Graves MJ, Mitchell DG (2013) Body MRI artifacts in
clinical practice: a physicist’s and radiologist’s per-
spective. J Magn Reson Imaging 38:269–287
Hachulla AL, Noble S, Guglielmi G, Agulleiro D,
Müller H, Vallée JP (2019) 3D-printed heart model to
guide LAA closure: useful in clinical practice? Eur
Radiol 29:251–258
Hamabe A, Ito M (2017) A three-dimensional pelvic
model made with a three-dimensional printer:
applications for laparoscopic surgery to treat rectal
cancer. Tech Coloproctol 21:383–387
Hamatani Y, Amaki M, Kanzaki H, Yamashita K,
Nakashima Y, Shibata A, Okada A, Takahama H,
Hasegawa T, Shimahara Y, Sugano Y, Fujita T,
Shiraishi I, Yasuda S, Kobayashi J, Anzai T (2017)
Contrast-enhanced computed tomography with
myocardial three-dimensional printing can guide treat-
ment in symptomatic hypertrophic obstructive cardio-
myopathy. ESC Heart Fail 4:665–669
Heilig M (1960) Stereoscopic-television apparatus for
individual use. United States patent US 2955156A.
https://patents.google.com/patent/US2955156A/en?
oq=2955156
Hermsen JL, Burke TM, Seslar SP, Owens DS, Ripley
BA, Mokadam NA, Verrier ED (2017) Scan, plan,
print, practice, perform: development and use of a
patient-specific 3-dimensional printed model in adult
cardiac surgery. J Thorac Cardiovasc Surg 153:132–
140
Heuer GG, Madsen PJ, Flanders TM, Kennedy BC, Storm
PB, Taylor JA (2019) Separation of craniopagus twins
by a multidisciplinary team. N Engl J Med 380:358–
364
Hong KC, Freeny PC (1999) Pancreaticoduodenal arcades
and dorsal pancreatic artery: comparison of Ct angiog-
raphy with three-dimensional volume rendering, maxi-
mum intensity projection, and shaded-surface display.
AJR Am J Roentgenol 172:925–931
Hong D, Moon S, Cho Y, Oh I-Y, Chun EJ, Kim N (2022)
Rehearsal simulation to determine the size of device
for left atrial appendage occlusion using patient-
specific 3D-printed phantoms. Sci Rep 12:7746
Hosny A, Dilley JD, Kelil T, Mathur M, Dean MN,
Weaver JC, Ripley B (2019) Pre-procedural fit-testing
of TAVR valves using parametric modeling and 3D
printing. J Cardiovasc Comput Tomogr 13:21–30
Hull CW (1986) Apparatus for production of three-
dimensional objects by stereolithography. United
States patent application
Hung CC, Li YT, Chou YC, Chen JE, Wu CC, Shen HC,
Yeh TT (2019) Conventional plate fixation method
versus pre-operative virtual simulation and three-
dimensional printing-assisted contoured plate fixation
method in the treatment of anterior pelvic ring fracture.
Int Orthop 43:425–431
Hurson C, Tansey A, O’donnchadha B, Nicholson P,
Rice J, McElwain J (2007) Rapid prototyping in the
assessment, classification and preoperative planning of
acetabular fractures. Injury 38:1158–1162
Hussein N, Honjo O, Haller C, Hickey E, Coles JG,
Williams WG, Yoo SJ (2020) Hands-on surgical sim-
ulation in congenital heart surgery: literature review
and future perspective. Semin Thorac Cardiovasc
Surg 32:98–105
Inoue D, Yoshimoto K, Uemura M, Yoshida M,
Ohuchida K, Kenmotsu H, Tomikawa M, Sasaki T,
Hashizume M (2013) Three-dimensional high-defini-
tion neuroendoscopic surgery: a controlled compara-
tive laboratory study with two-dimensional endoscopy
and clinical application. J Neurol Surg A Cent Eur
Neurosurg 74:357–365
ISO 2021 Additive manufacturing –General principles –
Fundamentals and vocabulary
Jomoto W, Tanooka M, Doi H, Kikuchi K, Mitsuie C,
Yamada Y, Suzuki T, Yamano T, Ishikura R,
Kotoura N, Yamamoto S (2018) Development of a
three-dimensional surgical navigation system with
magnetic resonance angiography and a three-
dimensional printer for robot-assisted radical prostatec-
tomy. Cureus 10:e2018
Kalendar W (2011) Computed tomography: fundamentals,
system technology, image quality, applications.
Publicis
Kaur J, Chopra R (2010) Three dimensional CT recon-
struction for the evaluation and surgical planning of
mid face fractures: a 100 case study. J Maxillofac Oral
Surg 9:323–328
Kim WD, Cho I, Kim YD, Cha MJ, Kim SW, Choi Y,
Shin SY (2022) Improving left atrial appendage occlu-
sion device size determination by three-dimensional
printing-based preprocedural simulation. Front
Cardiovasc Med 9:830062
Koch M, Frankewycz B, Voss A, Kaeaeb M, Herrmann S,
Alt V, Greiner S (2021) 3D-analysis of the proximal
humeral anatomy before and after stemless shoulder
arthroplasty - a prospective case series study. J Clin
Med 10:259
Kozin ED, Black NL, Cheng JT, Cotler MJ, Mckenna MJ,
Lee DJ, Lewis JA, Rosowski JJ, Remenschneider AK
(2016) Design, fabrication, and in vitro testing of novel
three-dimensionally printed tympanic membrane
grafts. Hear Res 340:191–203
Kwon YW, Powell KA, Yum JK, Brems JJ, Iannotti JP
(2005) Use of three-dimensional computed tomogra-
phy for the analysis of the glenoid anatomy. J Shoulder
Elb Surg 14:85–90
Lei K, Liu LM, Xiang Y, Chen X, Fan HQ, Peng Y, Luo
JM, Guo L (2020) Clinical value of CT-based patient-
specific 3D preoperative design combined with con-
ventional instruments in primary total knee
arthroplasty: a propensity score-matched analysis. J
Orthop Surg Res 15:591
136 S. Fidvi et al.
Levin D, Mackensen GB, Reisman M, McCabe JM,
Dvir D, Ripley B (2020) 3D printing applications for
transcatheter aortic valve replacement. Curr Cardiol
Rep 22:23
Levoy M (1988) Display of surfaces from volume data.
IEEE Comput Graph Appl 8:29–37
Li K, Liu Z, Li X, Wang J (2022) 3D printing-assisted
surgery for proximal humerus fractures: a systematic
review and meta-analysis. Eur J Trauma Emerg Surg
48(5):3493–3503
Lin HH, Lonic D, Lo LJ (2018) 3D printing in
orthognathic surgery - a literature review. J Formos
Med Assoc 117:547–558
Liu P, Liu R, Zhang Y, Liu Y, Tang X, Cheng Y (2016)
The value of 3D printing models of left atrial append-
age using real-time 3D transesophageal echocardio-
graphic data in left atrial appendage occlusion:
applications toward an era of truly personalized medi-
cine. Cardiology 135:255–261
Lovrics PJ, Goldsmith CH, Hodgson N, McCready D,
Gohla G, Boylan C, Cornacchi S, Reedijk M (2011)
A multicentered, randomized, controlled trial compar-
ing radioguided seed localization to standard wire
localization for nonpalpable, invasive and in situ breast
carcinomas. Ann Surg Oncol 18:3407–3414
Lunsford LD (2012) Modern stereotactic neurosurgery.
Springer
Makinen PL, Makinen KK (1971) Azo dye binding
proteins as interfering factors in enzyme assays based
on azo coupling. Anal Biochem 39:208–217
Mao Z, Zhang N, Cui Y (2019) Three-dimensional print-
ing of surgical guides for mandibular distraction osteo-
genesis in infancy. Medicine (Baltimore) 98:e14754
Marconi S, Pugliese L, Botti M, Peri A, Cavazzi E,
Latteri S, Auricchio F, Pietrabissa A (2017) Value of
3D printing for the comprehension of surgical anat-
omy. Surg Endosc 31:4102–4110
Marro A, Bandukwala T, Mak W (2016) Three-
dimensional printing and medical imaging: a review
of the methods and applications. Curr Probl Diagn
Radiol 45:2–9
Mashiko T, Konno T, Kaneko N, Watanabe E (2015)
Training in brain retraction using a self-made three-
dimensional model. World Neurosurg 84:585–590
Matsumoto JS, Morris JM, Foley TA, Williamson EE,
Leng S, McGee KP, Kuhlmann JL, Nesberg LE,
Vrtiska TJ (2015) Three-dimensional physical
modeling: applications and experience at Mayo Clinic.
Radiographics 35:1989–2006
Max NL (1995) Optical models for direct volume render-
ing. IEEE Trans Vis Comput Graph 1(2):97–108
Meess KM, Izzo RL, Dryjski ML, Curl RE, Harris LM,
Springer M, Siddiqui AH, Rudin S, Ionita CN (2017)
3D printed abdominal aortic aneurysm phantom for
image guided surgical planning with a patient specific
fenestrated endovascular graft system. Proc SPIE Int
Soc Opt Eng 10138:101380P
Mehollin-Ray AR (2018) Prenatal and postnatal radiologic
evaluation of conjoined twins. Semin Perinatol 42:
369–380
Mitsouras D, Liacouras P, Imanzadeh A, Giannopoulos
AA, Cai T, Kumamaru KK, George E, Wake N,
Caterson EJ, Pomahac B, Ho VB, Grant GT, Rybicki
FJ (2015) Medical 3D printing for the radiologist.
Radiographics 35:1965–1988
Morcos R, Al Taii H, Bansal P, Casale J, Manam R,
Patel V, Cioci A, Kucharik M, Malhotra A, Maini B
(2018) Accuracy of commonly-used imaging
modalities in assessing left atrial appendage for inter-
ventional closure: review article. J Clin Med 7:441
Morelli JN, Runge VM, Ai F, Attenberger U, Vu L,
Schmeets SH, Nitz WR, Kirsch JE (2011) An image-
based approach to understanding the physics of MR
artifacts. Radiographics 31:849–866
Newman E (1971) Vocational evaluation and work
adjustment –a future thrust of the rehabilitation move-
ment. Rehabil Rec 12:13–15
Nyberg DA, McGahan JP, Pretorius DH, Pilu G (2003)
Diagnostic imaging of fetal anomalies. Lippincott
Williams and Wilkins, Philadelphia
Oishi M, Fukuda M, Yajima N, Yoshida K, Takahashi M,
Hiraishi T, Takao T, Saito A, Fujii Y (2013) Interactive
presurgical simulation applying advanced 3D imaging
and modeling techniques for skull base and deep
tumors. J Neurosurg 119:94–105
Onerci Altunay Z, Bly JA, Edwards PK, Holmes DR,
Hamilton GS, O’Brien EK, Carr AB, Camp JJ,
Stokken JK, Pallanch JF (2016) Three-dimensional
printing of large nasal septal perforations for optimal
prosthetic closure. Am J Rhinol Allergy 30:287–293
Park JH, Park JY, Nam IC, Hwang SH, Kim CS, Jung JW,
Jang J, Lee H, Choi Y, Park SH, Kim SW, Cho DW
(2015) Human turbinate mesenchymal stromal cell
sheets with bellows graft for rapid tracheal epithelial
regeneration. Acta Biomater 25:56–64
Pietrabissa A, Marconi S, Negrello E, Mauri V, Peri A,
Pugliese L, Marone EM, Auricchio F (2020) An over-
view on 3D printing for abdominal surgery. Surg
Endosc 34:1–13
Poulin E, Gardi L, Fenster A, Pouliot J, Beaulieu L (2015)
Towards real-time 3D ultrasound planning and
personalized 3D printing for breast HDR brachyther-
apy treatment. Radiother Oncol 114:335–338
Prince JL, Links JM (2006) Medical imaging systems and
signals. Pearson Education, Inc
Quail MA, Taylor AM (2020) Congenital heart disease:
general principles and imaging. Grainger and Allsion’s
Diagnostic Radiology
Rao N, Chen K, Yang Q, Niu J (2018) Proof-of-concept
study of 3-D-printed mold-guided breast-conserving
surgery in breast cancer patients. Clin Breast Cancer
18:e769–e772
Reinacher PC, Stracke P, Reinges MH, Hans FJ, Krings T
(2007) Contrast-enhanced time-resolved 3-D MRA:
applications in neurosurgery and interventional neuro-
radiology. Neuroradiology 49(Suppl 1):S3–S13
6 Advanced 3D Visualization and 3D Printing in Radiology 137
Riggs KW, Dsouza G, Broderick JT, Moore RA, Morales
DLS (2018) 3D-printed models optimize preoperative
planning for pediatric cardiac tumor debulking. Transl
Pediatr 7:196–202
Ryan JR, Chen T, Nakaji P, Frakes DH, Gonzalez LF
(2015) Ventriculostomy simulation using patient-
specific ventricular anatomy, 3D printing, and hydro-
gel casting. World Neurosurg 84:1333–1339
Sanelli PC, Mifsud MJ, Zelenko N, Heier LA (2005) CT
angiography in the evaluation of cerebrovascular
diseases. AJR Am J Roentgenol 184:305–312
Santiago L, Adrada BE, Caudle AS, Clemens MW, Black
DM, Arribas EM (2019) The role of three-dimensional
printing in the surgical management of breast cancer. J
Surg Oncol 120:897–902
Schnabel F, Boolbol SK, Gittleman M, Karni T, Tafra L,
Feldman S, Police A, Friedman NB, Karlan S,
Holmes D, Willey SC, Carmon M, Fernandez K,
Akbari S, Harness J, Guerra L, Frazier T, Lane K,
Simmons RM, Estabrook A, Allweis T (2014) A
randomized prospective study of lumpectomy margin
assessment with use of MarginProbe in patients with
nonpalpable breast malignancies. Ann Surg Oncol 21:
1589–1595
Schulz-Wendtland R, Harz M, Meier-Meitinger M,
Brehm B, Wacker T, Hahn HK, Wagner F,
Wittenberg T, Beckmann MW, Uder M, Fasching
PA, Emons J (2017) Semi-automated delineation of
breast cancer tumors and subsequent materialization
using three-dimensional printing (rapid prototyping).
J Surg Oncol 115:238–242
Sepulveda W, Ximenes R, Wong AE, Sepulveda F,
Martinez-Ten P (2012) Fetal magnetic resonance imag-
ing and three-dimensional ultrasound in clinical prac-
tice: applications in prenatal diagnosis. Best Pract Res
Clin Obstet Gynaecol 26:593–624
Seutens P (2009) Fundamentals of medical imaging.
Cambridge University Press
Silberstein JL, Maddox MM, Dorsey P, Feibus A,
Thomas R, Lee BR (2014) Physical models of renal
malignancies using standard cross-sectional imaging
and 3-dimensional printers: a pilot study. Urology 84:
268–272
Silva AC, Wellnitz CV, Hara AK (2006) Three-
dimensional virtual dissection at CT colonography:
unraveling the colon to search for lesions.
Radiographics 26:1669–1686
Sommer KN, Shepard L, Karkhanis NV, Iyer V, Angel E,
Wilson MF, Rybicki FJ, Mitsouras D, Rudin S, Ionita
CN (2018) 3D Printed cardiovascular patient specific
phantoms used for clinical validation of a CT-derived
FFR diagnostic software. Proc SPIE Int Soc Opt Eng
10578:105780J
Sommer KN, Bhurwani MMS, Tutino V, Siddiqui A,
Davies J, Snyder K, Levy E, Mokin M, Ionita CN
(2021) Use of patient specific 3D printed
neurovascular phantoms to simulate mechanical
thrombectomy. 3D Print Med 7:32
Spottiswoode BS, Van Den Heever DJ, Chang Y,
Engelhardt S, Du Plessis S, Nicolls F, Hartzenberg
HB, Gretschel A (2013) Preoperative three-
dimensional model creation of magnetic resonance
brain images as a tool to assist neurosurgical planning.
Stereotact Funct Neurosurg 91:162–169
Su Q, Zhang Y, Liao S, Yan M, Zhu K, Yan S, Li C, Tan J
(2019) 3D computed tomography mapping of
thoracolumbar vertebrae fractures. Med Sci Monit 25:
2802–2810
Sutherland I (1968) A head-mounted three-dimensional
display. Proc AFIPS 68:757–764
Tzavellas AN, Kenanidis E, Potoupnis M, Tsiridis E
(2020) 3D printing in orthopedic surgery. 3D printing:
applications in medicine and surgery. Elsevier
Udupa JK, Hung HM, Chuang KS (1991) Surface and
volume rendering in three-dimensional imaging: a
comparison. J Digit Imaging 4:159–168
Valverde I (2017) Three-dimensional printed cardiac
models: applications in the field of medical education,
cardiovascular surgery, and structural heart
interventions. Rev Esp Cardiol (Engl Ed) 70:282–291
Wake N, Chandarana H, Huang WC, Taneja SS,
Rosenkrantz AB (2016) Application of anatomically
accurate, patient-specific 3D printed models from MRI
data in urological oncology. Clin Radiol 71:610–614
Wake N, Rude T, Kang SK, Stifelman MD, Borin JF,
Sodickson DK, Huang WC, Chandarana H (2017) 3D
printed renal cancer models derived from MRI data:
application in pre-surgical planning. Abdom Radiol
(NY) 42:1501–1509
Wake N, Bjurlin MA, Rostami P, Chandarana H, Huang
WC (2018) Three-dimensional printing and augmented
reality: enhanced precision for robotic assisted partial
nephrectomy. Urology 116:227–228
Wake N, Wysock JS, Bjurlin MA, Chandarana H, Huang
WC (2019) “Pin the tumor on the kidney:”an evalua-
tion of how surgeons translate CT and MRI data to 3D
models. Urology 131:255–261
Wake N, Rosenkrantz AB, Sodickson DK, Chandarana H,
Wysock JS (2020) MRI guided procedure planning
and 3D simulation for partial gland cryoablation of
the prostate: a pilot study. 3D Print Med 6:33
Wake N, Rosenkrantz AB, Huang WC, Wysock JS,
Taneja SS, Sodickson DK, Chandarana H (2021) A
workflow to generate patient-specific three-dimen-
sional augmented reality models from medical imaging
data and example applications in urologic oncology.
3D Print Med 7:34
Wake N, Vincent J, Robb F (2022) Medical imaging
technologies and imaging considerations for 3D
printed anatomic models. 3D printing for the radiolo-
gist. Elsevier
Wang DD, Eng M, Greenbaum A, Myers E, Forbes M,
Pantelic M, Song T, Nelson C, Divine G, Taylor A,
Wyman J, Guerrero M, Lederman RJ, Paone G,
O'neill, W. (2016) Predicting LVOT obstruction after
TMVR. JACC Cardiovasc Imaging 9:1349–1352
138 S. Fidvi et al.
Wang DD, Eng MH, Greenbaum AB, Myers E, Forbes M,
Karabon P, Pantelic M, Song T, Nadig J, Guerrero M,
O'neill, W. W. (2018) Validating a prediction
modeling tool for left ventricular outflow tract
(LVOT) obstruction after transcatheter mitral valve
replacement (TMVR). Catheter Cardiovasc Interv 92:
379–387
Wang KC, Jones A, Kambhampati S, Gilotra MN,
Liacouras PC, Stuelke S, Shiu B, Leong N, Hasan
SA, Siegel EL (2019) CT-based 3D printing of the
glenoid prior to shoulder arthroplasty: bony morphol-
ogy and model evaluation. J Digit Imaging 32:816–826
Waran V, Menon R, Pancharatnam D, Rathinam AK,
Balakrishnan YK, Tung TS, Raman R, Prepageran N,
Chandran H, Rahman ZA (2012) The creation and
verification of cranial models using three-dimensional
rapid prototyping technology in field of transnasal
sphenoid endoscopy. Am J Rhinol Allergy 26:e132–
e136
Waran V, Narayanan V, Karuppiah R, Owen SL, Aziz T
(2014a) Utility of multimaterial 3D printers in creating
models with pathological entities to enhance the train-
ing experience of neurosurgeons. J Neurosurg 120:
489–492
Waran V, Narayanan V, Karuppiah R, Pancharatnam D,
Chandran H, Raman R, Rahman ZAA, Owen SLF,
Aziz TZ (2014b) Injecting realism in surgical
training-initial simulation experience with custom 3D
models. J Surg Educ 71:193–197
Waran V, Pancharatnam D, Thambinayagam HC,
Raman R, Rathinam AK, Balakrishnan YK, Tung TS,
Rahman ZA (2014c) The utilization of cranial models
created using rapid prototyping techniques in the
development of models for navigation training. J
Neurol Surg A Cent Eur Neurosurg 75:12–15
Waran V, Narayanan V, Karuppiah R, Thambynayagam
HC, Muthusamy KA, Rahman ZA, Kirollos RW
(2015) Neurosurgical endoscopic training via a realis-
tic 3-dimensional model with pathology. Simul
Healthc 10:43–48
Wedeen VJ, Hagmann P, Tseng WY, Reese TG,
Weisskoff RM (2005) Mapping complex tissue archi-
tecture with diffusion spectrum magnetic resonance
imaging. Magn Reson Med 54:1377–1386
Additive manufacturing models of fetuses built from
three-dimensional ultrasound, magnetic resonance
Werner H, Dos Santos JR, Fontes R, Daltro P,
Gasparetto E, Marchiori E, Campbell S (2010)
imaging and computed tomography scan data. Ultra-
sound Obstet Gynecol 36:355–361
Whatley BR, Kuo J, Shuai C, Damon BJ, Wen X (2011)
Fabrication of a biomimetic elastic intervertebral disk
scaffold using additive manufacturing. Biofabrication
3:015004
Winter TC, Kennedy AM, Woodward PJ (2015)
Holoprosencephaly: a survey of the entity, with embry-
ology and fetal imaging. Radiographics 35:275–290
Wu HH, Priester A, Khoshnoodi P, Zhang Z, Shakeri S,
Afshari Mirak S, Asvadi NH, Ahuja P, Sung K,
Natarajan S, Sisk A, Reiter R, Raman S, Enzmann D
(2019) A system using patient-specific 3D-printed
molds to spatially align in vivo MRI with ex vivo
MRI and whole-mount histopathology for prostate can-
cer research. J Magn Reson Imaging 49:270–279
Xia J, Samman N, Yeung RW, Shen SG, Wang D, Ip HH,
Tideman H (2000) Three-dimensional virtual reality
surgical planning and simulation workbench for
orthognathic surgery. Int J Adult Orthodon Orthognath
Surg 15:265–282
Yang K, Park W, Ju SG, Chung Y, Choi DH, Cha H, Park
JY, Shin JS, Na CH (2019) Heart-sparing radiotherapy
with three-dimensional printing technology after mas-
tectomy for patients with left breast cancer. Breast J 25:
682–686
Yoo SJ, Thabit O, Kim EK, Ide H, Yim D, Dragulescu A,
Seed M, Grosse-Wortmann L, Van Arsdell G (2015)
3D printing in medicine of congenital heart diseases.
3D Print Med 2:3
Yoo SJ, Spray T, Austin EH III, Yun TJ, Van Arsdell GS
(2017) Hands-on surgical training of congenital heart
surgery using 3-dimensional print models. J Thorac
Cardiovasc Surg 153:1530–1540
Zagzebski J (1996) Essentials of ultrasound physics.
Mosby
Zavattero E, Viterbo S, Gerbino G, Ramieri G (2015)
Navigation-aided endoscopic sinus surgery. J
Craniofac Surg 26:326–327
Zein NN, Hanouneh IA, Bishop PD, Samaan M,
Eghtesad B, Quintini C, Miller C, Yerian L, Klatte R
(2013) Three-dimensional print of a liver for preopera-
tive planning in living donor liver transplantation.
Liver Transpl 19:1304–1310
3D printing can be used in spinal surgery
An understanding of relevant anatomy and
3D Visualisation of the Spine 7
Scarlett O’Brien and Nagy Darwish
Abstract
The 3D visualisation of the spine is thought of
from multiple viewpoints. Firstly, radiological
imaging is considered, with plain radiography,
CT and MRI imaging discussed in detail with
relevant applications to spinal surgery.
with multiple applications including educa-
tion, pre-operative planning for complex
cases and making patient-specific guides and
implants. The rapidly growing field of
intraoperative navigation and robotics have
been discussed, in addition to their benefits
and limitations within spinal surgery, as well
as some technical tips.
biomechanics is necessary for any surgeon,
and so this chapter describes the key concepts
to be familiar with, particularly the spinal
motion segment and the different methods for
classifying spinal injuries and how that relates
to stability. The concepts discussed have been
brought together by applying this knowledge
to some interesting clinical cases. They high-
light the importance of 3D visualisation of the
spine, which must be considered throughout
the decision-making process when managing
patients. Spinal surgeons use multiple imaging
modalities, knowledge of anatomy and biome-
chanics, as well as considering the need for
navigation in more complex cases, all on a
daily basis. With the advancement of technol-
ogy available for 3D visualisation of the spine,
we will be able to improve patient outcomes
even further in the future.
S. O’Brien · N. Darwish (✉)
Spinal Trauma Centre, Royal Victoria Hospital, Belfast,
UK
Queen’s University, Belfast, UK
#The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
E. Abdel Meguid et al. (eds.), Biomedical Visualisation, Advances in Experimental Medicine and
Biology 1406, https://doi.org/10.1007/978-3-031-26462-7_7
139
Keywords
Spine · Three-dimensional · Cross-sectional
imaging · Navigation · Biomechanics
7.1 Introduction
Significant developments in technology have
enabled us to visualise the details of the human
spine anatomy and abnormalities.
W.C. Rontgen, professor of physics in
Wurzburg, Bavaria, reported the discovery of
the X-ray in 1896 (Röntgen 1896), which is still
essential today for the evaluation and manage-
ment of the spine. Computed tomography
(CT) was the first 3D radiological imaging,
which provided more information than plain
radiographs, allowing further classification of
injury patterns and pathology of the spine. This
was invented by Sir Godfrey Hounsfield (1980)at
the EMI central research laboratories in 1967, and
the first CT scan was performed in Wimbledon,
England.
140 S. O’Brien and N. Darwish
Ten years later, moving away from radiation
technology, Raymond Vahan Damadian, an
American physician, was the first inventor of the
MR (Magnetic Resonance) scanner (Young
2004). This revolutionary discovery enabled us
to visualise not only bony skeletal structures but
also to visualise in detail the soft tissues includ-
ing, ligaments, neural and discal structures in all
planes (axial, coronal and sagittal).
3D printing technology allows us to produce
signature models for individual spines. Surgeons
can now design a prosthetic that fits perfectly in
the patient’s body, Dr. Ralph Mobbs, a
neurosurgeon in Sydney, Australia, was the first
surgeon to implant a 3D-printed spinal implant to
replace a tumour in the cervical spine and thus
restore stability to the patient’s spine.
Currently, navigation-assisted spine surgery
technology allows the surgeon to access three-
dimensional (3D) and virtual images of the
spine in relation to the surgical instruments
intraoperatively. The Human–Computer Interac-
tion (HCI) concept improves the accuracy of
dealing with the human spine. Robotic spine is
the future; it has expanded the horizon of spine
surgery. It is accurate, safe and minimally
invasive.
This chapter will provide the current
experiences of the authors as spinal orthopaedic
surgeons, combined with a review of the litera-
ture. When discussing spinal patients, we mean
any patient with pathology related to their spine at
any level. This could be in the form of trauma,
such as fractures, ligamentous injuries or spinal
cord injuries, or atraumatic pathology such as
degenerative disease, tumours and infections.
This chapter has been divided into five
sections: Radiological Visualisation, 3D printing,
Navigation and Robotics, Biomechanics, Clinical
Cases.
7.1.1 Radiological Visualisation
Multiple imaging modalities are currently used to
aid in the management of spinal patients. Radio-
logical imaging has been available since the late
nineteenth century. Imaging now encompasses
both two-dimensional and three-dimensional
scanning, with huge advances since the first
X-rays were used. Commonly used imaging in
spinal surgery includes plain film radiographs,
computed tomography and magnetic resonance.
Each modality may be used for different reasons
in different situations, with each having a range of
benefits, as well as risks and contraindications. In
this section, each modality will be considered in
detail, including the origins, modes of action and
how we use each modality every day in spinal
surgery.
7.2 Radiography
7.2.1 Background
Wilhelm Roentgen, a physics professor in
Bavaria, first discovered the X-ray accidentally
in 1895 (Rontgen 1896). At the time, he was
testing cathode rays, trying to identify if they
could pass through glass. A cathode ray is a
beam of electrons in a vacuum tube travelling
from the negatively charged electrode (cathode)
at one end to the positively charged electrode
(anode) at the other, across a voltage difference
between the electrodes. During his experiment, he
noticed that the rays were able to leak out through
the cathode tube and emit a fluorescent glow on a
nearby screen. He was unsure what this fluores-
cent ray was, and so termed it ‘x-ray’, with ‘x’
meaning unknown. The rays themselves are
termed X-rays, whilst the images the rays produce
when projected onto a screen are termed
radiographs. The first radiograph taken was of
Professor Roentgen’s wife’s hand (Fig. 7.1).
Roentgen went on to win the Nobel Prize for
Physics in 1901 for his discovery.
The medical community was quick to realise
the potential for radiographs to be used in patients
to identify fractures or locate bullets or shrapnel
without having to open the body. Within a few
years, the use of X-ray for making diagnoses was
widespread in the United States and Europe. By
1900, radiographs were considered an essential
element in patient care, particularly for their
ability to identify foreign bodies and fractures
(Stimson 1899).
7 3D Visualisation of the Spine 141
Fig. 7.1 Professor Roentgen’sfirst radiograph (Baumrind
2011)
7.2.2 Mechanism of Action
A radiograph is produced when a negatively
charged electrode is heated by electricity and
electrons are released, therefore producing
energy. That energy is directed towards a plate,
or anode, at high speed. A radiograph is produced
when the energy collides with the atoms in the
metal plate. When X-rays meet the detector and
create an image, there are five main densities that
can be visualised; air, fat, soft tissue or fluid,
calcium or bone, and metal. They are a direct
result of how many X-rays have passed through
the subject and arrived at the detector. For exam-
ple, when passing through air, all the X-rays will
continue on to the plate, and none will be
absorbed by the air. This means that the area on
the radiograph will be black as there is no density
to it. Metal, on the other hand, is very dense, and
so almost no X-rays will pass through it and onto
the anode. This means that metal is white on a
radiograph. The densities in between air and
metal vary in how they appear and will be various
shades of grey. Whilst original radiographs were
printed onto films and displayed on light boxes,
electronic systems are now used to display the
radiograph on computer screens which allows for
higher-definition images that we can review in
more detail (Fig. 7.2).
7.2.3 Use in Spinal Surgery
For several spinal conditions, plain radiographs
are detailed enough to make a diagnosis, and no
more advanced imaging is required. A good
example is simple osteoporotic fractures of the
vertebrae, where the fracture is low energy and
unlikely to be unstable (Fig. 7.3). Repeated
radiographs can be taken over time to assess for
further compression or development of kyphosis.
Commonly in practice, we will repeat the radio-
graph when the patient is weight-bearing to assess
for further compression of the vertebrae.
Another example of simple radiography is
identifying and monitoring scoliosis (Fig. 7.4).
Over time, the patient’s spinal curvature may
worsen or change, and various measurements
can be performed on a radiograph to quantify
this. One such measurement is the Cobb angle,
which is defined as the greatest angle at a particu-
lar region of the vertebral column, when
measured from the superior endplate of a superior
vertebra to the inferior endplate of an inferior
vertebra, and refers to angles in the coronal
plane (Coley 2013). An angle of >10 degrees is
highly suggestive of scoliosis, with increasing
angles making intervention or surgery more likely
to be required.
7.2.4 Intraoperative X-Ray
C-Arm systems are used regularly in spinal sur-
gery. C-Arms are fluoroscopy machines which
use image intensifiers. This allows high-
resolution X-ray images to be taken and displayed
on a monitor in real time (Fig. 7.5). Modern
C-arms can perform 12 distinct motions, allowing
for the acquisition of almost any radiographic
view (Pally and Kreder 2013). Their name is
derived from their ‘C’shape. This shape allows
the machine to move around the body easily in
order to achieve orthogonal views. They are used
widely in orthopaedic surgery (Ojodu et al. 2018).
The major advantages of intraoperative imaging
are quick and easy identification of operative
level, monitoring fracture reduction in multiple
planes and confirming appropriate implant posi-
tion, meaning any errors can be corrected whilst
the patient is still in theatre. It does, however,
have the disadvantage of being quite operator
dependent. It can be difficult to get true AP or
lateral images due to the mobile nature of the
C-Arm, meaning it can be difficult to interpret
the images. There is also the radiation risk to
both the patient and the surgical team, meaning
lead must be worn to protect those near the
C-Arm. There is also potential to de-sterilise the
operative field with the C-arm (Biswas et al.
2008).
142 S. O’Brien and N. Darwish
Fig. 7.2 Normal Anterior-
posterior (AP) and lateral
radiograph of cervical spine
Fig. 7.3 Vertebral fracture
pre- and post-operatively
When performing spinal surgery,
intraoperative X-ray is most commonly used to
determine the correct vertebral level. For exam-
ple, when performing an anterior cervical
discectomy and fusion (ACDF), the C-Arm will
be used prior to incision to ensure that the correct
level is chosen to be operated on. The level from
the intraoperative X-ray will be compared to the
level identified on the MRI scan, which will also
be displayed in theatre. Use of MRI scanning in
spinal surgery will be covered in detail later. It
will also be used during the procedure to confirm
the correct level has been chosen, and this detail
will always be recorded in the operation note.
Images are also often taken when screws and
plates are inserted, to confirm correct positioning
within bone. For any procedure where an implant
of any kind is inserted, a post-operative radio-
graphic check will be taken to compare the
intraoperative position to current position, again
ensuring the implant is positioned correctly.
7 3D Visualisation of the Spine 143
Fig. 7.4 Scoliosis case,
pre- and post-operatively
Fig. 7.5 Intraoperative
C-Arm in use
7.3 Computed Tomography (CT)
7.3.1 Background
CT uses multiple X-ray images stacked together
to develop a three-dimensional image. CT was
first developed by Sir Godfrey Hounsfield in
1967, using theoretical calculations developed by
Allan McLeod Cormack (Hounsfield 1980).
Hounsfield was an engineer and inventor, whilst
McLeod Cormack was a physicist. They aimed to
develop X-ray technology, to create a three-
dimensional image which would look inside an
object without opening it. The first CT scan was
performed in 1971 in London. The first scan was
a CT brain performed in Atkinson Morley’s Hos-
pital in October 1971 (Fig. 7.6). They went on to
win the Nobel prize in Medicine for their inven-
tion in 1979. The early CT scans took 30 minutes
to perform, and several hours to process and
reconstruct the image, often having to be done at
another site. CT is now widely available in almost
all hospitals in the UK. A CT cervical spine can
be performed in around 5 minutes, and images are
uploaded to the imaging system for review within
a few minutes. CT is highly accurate in trauma.
Ninetey-eight percent of cervical spinal injuries
can be detected with CT, compared to radiogra-
phy missing up to 57% of injuries (Jimenez et al.
2008). The major disadvantage of CT compared
to radiography is radiation exposure. A CT of
cervical spine has 90 times more radiation expo-
sure than a series of radiographs (Jimenez et al.
2008).
144 S. O’Brien and N. Darwish
Fig. 7.6 The first CT Brain (Maier et al. 2018)
7.3.2 Mechanism of Action
CT uses multiple X-ray images to build up a
cross-sectional image of an area of the body.
Similarly, to plain X-ray, the X-ray beam is emit-
ted from a source, passes through the area of the
body, and then hits a detector. In CT, the source
rotates around the patient, with the detector also
rotating. When each beam is emitted, the detector
will be opposite to the source, and so they move
together. This allows images to be taken from
multiple different angles thus gathering informa-
tion regarding depth.
CT is performed based on different tissues
having different densities. These densities can
be measured from the calculation of the attenua-
tion coefficient. The attenuation coefficient is a
measure of how easily a material can be
penetrated by an incident energy beam.
Hounsfield developed a scale of densities of
tissues with the human body. He used Hounsfield
units (HU) to quantify the density based on four
discreet tissues; air (-1000 HU), fat (-30 to -70
HU), water (0HU) and cortical bone (+1000 HU)
(Kamalian et al. 2016). All tissues are therefore
compared to these densities, and from this, all
materials can be given a density in HU.
7.3.3 Use in Spinal Surgery
7.3.3.1 Trauma
CT is extremely useful in identifying bony
injuries. CT imaging of the spine is carried out
frequently in patients presenting with trauma to
emergency departments. Spinal fractures can
have many patterns and can be due to many
different mechanisms. They can be easily missed
if not investigated. CT is now the modality which
should be used in the first instance in most cases
to identify a cervical spine injury, with plain
radiographs rarely used if there is a high level of
suspicion of injury. The National Institute for
Health Care Excellence (NICE) guideline for
head injury recommends many patients with
head injury also have their cervical spine imaged
via CT ((NICE) 2014). The incidence of cervical
spine injury associated with head injury is
between 4% and 8% (Holly et al. 2002), meaning
it is vital that CT cervical spine is performed
alongside CT brain to ensure cervical spine injury
is not missed.
7 3D Visualisation of the Spine 145
In addition to the initial identification of frac-
ture, CT allows for fractures to be fully classified.
This means the exact anatomical position of the
fracture, number of elements or columns involved
and inherently the stability of the injury can be
identified. This allows surgeons to decide on the
most appropriate management, either operative or
non-operative. If operative management is
indicated, CT imaging allows for operative
planning. CT also identifies if any bony
fragments are present within the spinal canal
(Fig. 7.7) and will prompt clinicians to consider
further imaging with Magnetic Resonance Imag-
ing (MRI) if cord injury is suspected.
7.3.3.2 Tumour
Tumours of the spine can either be benign or
malignant. Malignant tumours are either primary
bone tumours or secondary metastatic disease.
Common metastases arise from renal, lung,
breast, thyroid and prostate primaries. The most
common primary bone malignancy in spine is
multiple myeloma (Kelley et al. 2007). CT can
accurately identify the tumour and give important
information such as size, elements of bone
involved and if stability is compromised. CT is
more sensitive than MRI in determining the
extent of bony destruction, which is useful in
pre-operative planning to determine if operative
intervention is indicated and how it should be
carried out.
Fig. 7.7 Axial CT of the lumbar spine demonstrating
multifragmentary fracture with fragments in the canal
7.3.3.3 CT Myelogram
Myelography is an imaging modality which
utilises intrathecal injection of contrast to delin-
eate spinal conditions. The pathologies
myelography is used to diagnose or monitor
include degenerative spondylosis, nerve root
impingement from any cause and tumours. In
neurosurgery, they are useful for identifying
arachnoid lesions. Prior to the advent of MRI, it
was widely used, both with fluoroscopy and later
CT. The main indication presently is in patients
who have contraindications to MRI, such as an
incompatible pacemaker or spinal stimulator but
require cross-sectional imaging of their spine and
especially thecal sac and contents. Whilst it
provides very useful diagnostic information, it
has the disadvantage of morbidity associated
with radiation and need to inject the subarachnoid
space.
7.4 Magnetic Resonance Imaging
(MRI)
7.4.1 Background
MRI is an imaging modality which creates
images in multiple planes using non-ionising
radiation. Both static and functional imaging can
be produced. Nuclear magnetic resonance
(NMR), later shortened to magnetic resonance,
was discovered in 1945 by Felix Bloch and
Edward Purcell, who were both physicists
(Giunta and Mainz 2020). This principle formed
the basis for MRI scanning. They won the Nobel
prize in Physics in 1952 for this work. In 1969
Dr. Raymond Damadian theorised that cancerous
cells could be detected using NMR, as cancerous
cells hold more water, and would show up in MR
due to increased numbers of hydrogen ions.
Raymond Damadian published the results of his
experiments in 1971.
146 S. O’Brien and N. Darwish
Also, in 1971 Paul Lauterbur theorised a
method using NMR to obtain two-dimensional
and three-dimensional images of living tissue.
The following year, Lauterbur used his NMR
technique to examine two test tubes containing
water. He was able to generate an accurate cross-
sectional image of the test tubes. His paper was
accepted and published by Nature (Lauterbur
1973). Separately, Peter Mansfield published his
research into using magnetic field gradients to
create three-dimensional MR images in 1973
(Garroway et al. 1974). Damadian then created
the first whole-body human scanner in 1977
(Fig. 7.8). Mansfield and Lauterbur were awarded
the Nobel prize for Medicine in 2003 for their
discoveries regarding magnetic resonance
imaging.
MRI has the advantage of not requiring
ionising radiation, therefore removing this risk
for patients. This means that for patients where
radiation is particularly damaging, such as young
children or pregnant women, MRI is a safe alter-
native. However, given the magnetisation
involved in MRI, it is not suitable for patients
with any indwelling metalwork, such as certain
medical implants. It is also quite a lengthy test,
with a whole spine MRI taking around
45 minutes. This, combined with the noise and
the small space, can make it difficult for some
patients to tolerate.
7.4.2 Mechanism of Action
MRI produces cross-sectional images in any spa-
tial direction; coronal, sagittal, axial, oblique.
NMR relies on the interaction between atomic
nuclei, strong magnetic fields and radiofrequency
energy. NMR utilises the hydrogen protons
within our bodies, within water, fat and carbohy-
drate molecules. These protons usually spin, cre-
ating a small magnetic charge. When a strong
magnetic field is introduced, from the MRI scan-
ner, the protons will align with this field. A
radiofrequency pulse is then introduced, which
will disrupt each proton, causing it to rotate
90 or 180 degrees. When the pulse is switched
off, the protons will then return to their natural
position, and this process releases electromag-
netic energy. Differing tissues will release this
energy at different rates, through varying relaxa-
tion processes. The receiving coil then measures
the energy signal coming back from the protons.
This signal then goes to the computer, which uses
a formula to convert the signal to an image
(Berger 2002).
When identifying spinal pathology, three
sequences are commonly used in the MRI scan;
T1 weighted, T2 weighted and Short tau inver-
sion recovery (STIR). The timing of
radiofrequency pulse sequences used to make
T1 images results in images which highlight fat
tissue within the body. The timing of
radiofrequency pulse sequences used to make
T2 images results in images which highlight fat
and water. The timing of the pulse sequence used
to make STIR sequences acts to suppress signal
coming from fatty tissues, and so only water is
highlighted (Patel et al. 2015) (Fig. 7.9).
7.4.3 Use in Spinal Surgery
7.4.3.1 Trauma
Vertebral fractures are increasingly common,
with vertebral compression fractures being the
second most common osteoporotic fracture
(Svensson et al. 2016). It can be unclear if a
fracture is acute or chronic, and patients may
have multilevel fractures. As vertebral compres-
sion fractures are so common, patients presenting
with back pain may have had previous imaging;
either plain radiograph or CT. MRI can be useful
in determining if the fracture is acute or chronic,
as an acute fracture will be bright on the STIR
sequence. It is also useful in determining the
extent of fracture, for example, if it had been
previously unclear if the posterior elements were
involved or not. MRI is the only modality which
will determine if any ligamentous instability has
occurred, particularly of the anterior or posterior
longitudinal ligaments. Ligamentous tear or rup-
ture, combined with some fracture patterns, will
make the spinal construct unstable (Fig. 7.10).
The concept of differing fracture patterns and
their relative stability is discussed later in the
biomechanics section. The major indication for
MRI scanning in a spinal fracture is in patients
with neurological deficits on examination. This
usually indicates a spinal cord, cauda equina or
spinal nerve root injury caused by the fracture.
There are also many spinal cord injuries, which
may not be associated with a fracture, such as
central cord syndrome. These will also require
an urgent MRI to make the diagnosis and guide
management.
7 3D Visualisation of the Spine 147
Fig. 7.8 Dr. Raymond
Damadian’s MRI Scanner
1977 (Winans 2018)
Fig. 7.9 T1/T2/STIR
Sagittal images of lumbar
spine to show comparison
7.4.3.2 Degenerative Disease
One of the most common presentations to the
spinal outpatient department is chronic neck or
back pain, often associated with radiculopathy or
another neurological deficit. If atraumatic, or if a
fracture is excluded on plain imaging, degenera-
tive disease is likely. This is often attributable to
spondylosis (degenerative disc disease)
(Fig. 7.11), spondylolisthesis (degenerative slip),
facet joint hypertrophy or ligamentous hypertro-
phy. All these conditions have the potential to
irritate nerve roots or the spinal cord and cause
associated symptoms. The best way to image
these conditions is with MRI.
148 S. O’Brien and N. Darwish
Fig. 7.10 Anterior longitudinal ligament injury with
associated fracture
7.4.3.3 Tumour
As previously mentioned in the section,
discussing CT scans, malignant tumours in or
around the spine are commonly seen in the ter-
tiary centre. If the diagnosis is uncertain, for
example, it may be difficult to differentiate
between infection and tumour; therefore, MRI
scanning can provide further information to aid
the diagnosis. MRI is useful in classifying the
tumour as extradural, intradural-extramedullary
and intramedullary (Dasarju et al. 2020). This
helps to determine management. When a known
tumour is associated with neurological compro-
mise, metastatic spinal cord compression
(MSCC) should be considered. MSCC is a condi-
tion requiring urgent management, and so access
to MRI for diagnosis should be available 24 hours
a day (NICE 2008).
Fig. 7.11 Multilevel
degenerative disease of
lumbar and cervical spine
7.4.3.4 Cauda Equina Syndrome (CES)
CES is a relatively rare but disabling condition
which can result in motor and sensory deficits,
incontinence of urine and faeces, and loss of
sexual function. Any patient with a possible diag-
nosis of threatened/partial/complete CES requires
urgent investigation. MRI scanning must be
undertaken in an emergency in the patient’s
local hospital and should take precedence over
routine scans ((SBNS) 2018).
7.4.3.5 Recent Advances in MRI
A recent development in MRI is the use of zero
echo time (ET) pulse sequences. A major diffi-
culty with traditional MRI scanning is the loud
noise generated from the rapidly switching
currents in the magnetic field gradient coils.
Zero ET pulse sequences minimise gradient
switching, and so, almost eliminate noise
completely (Ljungberg et al. 2021). The
sequences required are also shorter, and so scans
can be more efficient. Whilst this technology is
not yet readily available, it will be interesting to
see what developments this advance in MRI will
bring to spinal surgery.
7 3D Visualisation of the Spine 149
7.5 Conclusion
Radiological imaging has advanced exponentially
over the past century. Easy access to multiple
imaging modalities is now available, which
enhances the ability to visualise the human spine
in three dimensions. Within spinal surgery, we
use imaging to make a diagnosis, monitor a con-
dition, make decisions about patient management
and to guide our decision-making
intraoperatively. As discussed later in the chapter,
the future will involve using CT intraoperatively
to navigate surgery, as a further advancement
from intraoperative radiographs.
7.5.1 3D Printing
3D printing is also called additive manufacturing
or rapid prototyping. It was first developed by
Charles Hull in the 1980s (Hull 1986), when he
patented the stereolithography device. The tech-
nique uses multiple 2D images, very similar to the
axial cross-sectional images we would be familiar
with from CT and MRI, and as the 2D images are
laid down one on top of the other, a 3D image is
then created.
There are now several different methods for
creating 3D-printed items, but all follow this
basic technique. The three methods currently in
use are: fused deposition modelling (FDM),
stereolithography (SLA) and selective laser
sintering (SLS). FDM uses a heated polymer
that is sequentially layered with a computer extru-
sion nozzle. It is widely used commercially, as it
is relatively low cost and can be done quickly.
However, the products tend not to be stable under
significant heat, making them difficult to sterilise,
and therefore not used in surgery. SLA uses light-
curable resin to sequentially add layers. The resin
then undergoes photopolymerisation, where it is
hardened by exposure to a light source. SLS uses
a focused energy source such as an electron beam
or laser to sinter fine powder, in other words, to
convert powder particles into a solid construct
sequentially. Both SLA and SLS can withstand
heat, and thus can be sterilised, making them
options for surgical implants.
7.5.1.1 Use in Spinal Surgery (Sheha
et al. 2019)
Pre-operative
planning
3D models can be printed from
patients imaging. A 3D model of
unusual anatomy or more complex
pathology, allows surgeons to
visualise their plan for surgery.
Intraoperative
guides
Patient-specific drill guides and
templates can be printed, allowing for
more accurate screw placement.
Patient-specific
implants
In cases where there is to be a large
resection due to a large tumour,
infection or significant trauma, an
implant will need to be fitted to fill the
gap where the resection has been
taken. A specific implant allows a
more anatomical fit to the patient and
requires a less-extensive dissection,
maintaining the structural integrity of
their spine.
Education At the most basic level, printed
models can demonstrate anatomy and
pathology in 3D, making it easier for
students to visualise and understand.
For surgical trainees, models can be
printed to be used as surgical
simulators. Trainees can learn
techniques on the models, before
transferring them to the operating
theatre.
Many units have access to a 3D printer, which
is connected to the CT imaging system. This
means rapid access to live 3D printing, which
can be used to plan for cases of severe deformity
or complex fractures (Fig. 7.12). These models
are used to visualise the pathology and determine
the exact operative intervention required.
150 S. O’Brien and N. Darwish
Fig. 7.12 3D printed
deformity case in
thoracolumbar spine and
post-operative posterior
stabilisation which have
been printed in our unit
7.5.2 Navigation and Robotics
7.5.2.1 Basics of Navigation
and Robot-Assisted Surgery
Robotic surgery has become commonplace in
many surgical specialties including spinal sur-
gery, general surgery, gynaecology and urology.
Robotic-assisted surgery has also become more
widespread within orthopaedic surgery, particu-
larly in knee arthroplasty. Robotic surgery
systems can either be autonomous, where once
set up, the robot performs most of the operation,
or haptic, where the surgeon is required through-
out the procedure to steer the robot to carry out
the tasks.
7.5.2.2 Use within Spinal Surgery
Within spinal surgery, robotic surgery has been
useful in the insertion of pedicle screws
(Fig. 7.13), which are required for most spinal
stabilisation and fusion procedures. The use of
computer-aided navigation in spinal surgery was
first reported by Nolte et al. (1995) where they
used a combination of pre- and intraoperative
information to insert pedicle screws more accu-
rately in an open procedure. Improving the effi-
ciency and accuracy of pedicle screw placement
has many advantages for patients. Screw
malposition can lead to significant neurovascular
complications, with so many important structures
in and around the spinal column. Potential
complications include dural tearing, neural dam-
age and vascular or visceral complications. Many
complications lead to serious morbidity and can
necessitate return to theatre, with further
anaesthetic complications and increased risk of
systemic problems. A meta-analysis (Tang et al.
2014) suggests that complication rates and screw
accuracy can be improved by intraoperative navi-
gation techniques.
The ExcelsiusGPS system (Fig. 7.14) (Globus
Medical; Audobon, PA, USA) is a robotic system
Fig. 7.13 Usual position for pedicle screw placement
in use in some UK centres. This system requires a
pre-operative CT scan. Screw position will be
planned from this imaging (Fig. 7.15). The patient
is positioned and prepped as usual. The dynamic
reference base arrays and surveillance markers
are positioned in the bone.
7 3D Visualisation of the Spine 151
Fig. 7.14 The ExcelsiusGPS system
An intraoperative CT using O-arm (Fig. 7.16)
(Medtronic; Dublin, Ireland) is then performed,
which is compared to their pre-operative scan.
Planned screw position will now be confirmed
and any adjustments made.
Small incisions are made, ensuring soft tissues
were adequately dissected. The robotic end effec-
tor arm then moves into position to guide all
movements along this planned trajectory. A pilot
hole is made, then the hole is drilled and tapped,
under navigation ensuring the correct trajectory is
maintained. The screw is finally positioned, and
placement is confirmed by the robot to match the
planned position. The surgeon receives
immediate feedback that the screw is positioned
correctly.
Whilst additional equipment is required, with
more moving components, there has not been an
increase in surgical site infections associated with
intraoperative navigation. A single-unit study
found no significant difference in cases where
no imaging, C-arm fluoroscopy or O-arm
intraoperative CT were used (Kumagai et al.
2022). It was also initially felt that using naviga-
tion would increase surgical times. However,
Khanna et al. (2016) found that whilst operative
times were longer when navigation was first
introduced to a unit, over time, operative time
was actually decreased when the surgical team
became more familiar with the equipment. As
navigation becomes more commonplace, it
should also become more efficient than current
fluoroscopic or freehand screw placement.
Advantages and Disadvantages of Robotic
Spinal Surgery (Alluri et al. 2021).
152 S. O’Brien and N. Darwish
Fig. 7.15 Examples of CT navigation images in the thoracolumbar spine
Fig. 7.16 O-arm intraoperative CT
Advantages Disadvantages
Improved clinical
outcomes and reduced
complications
Increased training
required for the surgical
team (Fig. 7.17)
Increased pedicle screw
placement accuracy
Increased cost of
equipment and software
systems
Avoidance of breach of
spinal canal, and so
reduced risk of
development of adjacent
segment disease and spinal
cord damage
Operative time not
decreased until surgeons
and team become familiar
with system –Can take
significant time to become
proficient
Reduced radiation risk
when compared to
fluoroscopic guided
instrumentation techniques
Technical issues can be
associated with equipment
or software
Reduced operative time
and increased efficiency
7 3D Visualisation of the Spine 153
Fig. 7.17 Theatre team
members using simulation
to train in robotic-assisted
navigation
Tips to Improve Spinal Navigation Surgery
(Cawley et al. 2020)
1. The patient should be positioned prone on the
Jackson table with arms abducted and elbows
flexed. Ensure enough clearance below table
for the navigation system.
2. It is important to dissect only what is
required, as excessive dissection will alter
spinal flexibility and therefore position,
which will make navigation less accurate.
3. The reference frame must be placed solidly in
position and protected throughout the case.
Ensure the frame is not unnecessarily
obscured by drapes.
4. Ensure the drill guide is held firmly, as any
movements of this will alter the trajectory
when drilling.
5. When drilling, power instruments should be
used to increase accuracy and efficiency.
6. The starting point for each drill hole should
first be made by a burr or serrated drill guide
to help anchor the drill and prevent slippage,
in turn protecting the trajectory. The naviga-
tion system allows a more lateral entry point
for screw insertion, which allows a longer
trajectory and so a broader construct triangu-
lation. This in turn increases the pull-out
strength of the screw.
7. The templating intraoperatively is carried out
by the circulating surgical team. This
increases the entire team’s awareness of the
need to accurately save the templated image
and communicate the screw size clearly.
8. Using a wire and a cannulated screw tech-
nique is useful, particularly when achieving
the correct entry point is more difficult.
9. When inserting the screw, it is vital to keep
reviewing the images on screen to prevent
over-tightening or perforation of the far cor-
tex. This minimises the risk of nerve root
irritation.
10. Navigation can also be used to deliver intra-
thecal analgesia, which is usually done free-
hand by the anaesthetist. The navigated
method is more accurate, with lower
complications.
7.5.3 Biomechanics
The spine has multiple functions. It supports the
body by providing a structure that loads can be
transmitted through, it allows the spinal cord and
neural structures to be protected, and it allows
motion of the body in multiple 3D planes.
154 S. O’Brien and N. Darwish
Fig. 7.18 Cervical, thoracic and lumbar vertebrae
7.5.3.1 Spinal Anatomy
The spinal column consists of 7 cervical, 12 tho-
racic, 5 lumbar, 5 fused sacral and 5 fused coccy-
geal vertebrae. In the sagittal plane, these are
arranged with four curves; cervical lordosis, tho-
racic kyphosis, lumbar lordosis and
sacrococcygeal kyphosis (sagittal balance). A
typical vertebra contains common features; verte-
bral body, facet joints, spinous and transverse
processes; however, the overall shape varies
widely between different spinal segments
(Fig. 7.18).
7.6 Vertebral Body
The vertebral body is the main load-bearing com-
ponent of the spine. The main force requiring
opposition is compression, which comes from
the weight of the body above the vertebrae. The
structure of the vertebral body allows axial com-
pressive forces to be converted into transverse
tensile forces. The central portion is cancellous
bone, which is surrounded by cortical bone. The
trabecular pattern of the cancellous bone allows
the compressive forces to be distributed through-
out the area evenly. The bone is arranged in
vertical columns and horizontal beams. Their
structure allows the vertebral body to be light-
weight enough to be carried easily, whilst strong
enough to withstand significant force. Increasing
the number of columns and beams will propor-
tionally increase the tensile strength of the unit. A
solid structure would be less able to withstand the
load as the forces could not be distributed as
easily.
7.7 Facet Joints
Facet joints make up part of the posterior
elements of the spinal column and allow motion
between vertebrae as well as increasing spinal
stability. They consist of the superior and inferior
articular processes of the superior and inferior
laminae. Different segments of the spinal column
move in slightly different planes as the inclination
of the joint and shape of the joints change. The
cervical spine has a lot of movement, especially
rotation between C1 and C2, as well as flexion,
extension and lateral flexion. The thoracic spine
also has rotation and lateral flexion, but minimal
flexion and extension. In the lumbar spine, the
superior facets are concave and the inferior facets
are convex, allowing significant flexion, exten-
sion and lateral flexion but almost no rotation.
They also have a load-bearing function and can
carry up to 30% of the load in combination with
the intervertebral discs.
7.8 Intervertebral Discs
The intervertebral disc consists of a central, gelat-
inous nucleus pulposus and a peripheral annulus
fibrosis. Annulus fibrosis consists of concentric
layers of collagen fibres. The fibres are arranged
30°to the vertical in alternating directions. The
nucleus pulposus is mostly water and generates
hydrostatic pressure. This hydrostatic pressure
exerts tensile stresses in the annulus fibrosis.
There are also the superior and inferior vertebral
end plates which are made up of hyaline cartilage,
and connect the disc to the vertebral body.
The discs are avascular structures, and so rely
on the end plate blood supply for their nutrients.
As the disc is loaded, the hydrostatic pressure
increases, exerting tension on the annulus fibro-
sis, increasing the disc stiffness. When the disc is
loaded the fibres of the annulus fibrosis flatten,
which produces circumferential hoop stresses.
7 3D Visualisation of the Spine 155
7.9 Spinal Ligaments
From anterior to posterior, there are five main
ligaments associated with the vertebral column:
anterior longitudinal ligament anterior to the ver-
tebral body, posterior longitudinal ligament pos-
terior to the vertebral body, ligamentum flavum
between laminae of adjacent vertebrae,
interspinal ligament between the spinous pro-
cesses and supraspinous ligament posterior to
the spinous processes. The main function of
these ligaments is to provide support to the spinal
column by converting axial loads into tension.
They allow protection of the spinal cord by
restricting the movement of the spinal motion
segment and by absorbing some of the forces.
Conversely, they also permit motion and help
maintain the correct orientation of the vertebral
column.
7.10 Spinous and Transverse
Processes
These bony protrusions provide areas for muscles
and ligaments to attach. They do not offer much
support in terms of load bearing or stability of
the unit.
7.10.1 Spinal Motion Segments
The spine works in multiple functional units
which allow motion between vertebral levels.
Each motion segment consists of two vertebrae
and the disc between them (Fig. 7.19). The inter-
vertebral disc allows flexibility in the unit.
Motion occurs at both the facet joints and the
intervertebral joints. The planes of movement
are flexion and extension in the sagittal plane,
lateral flexion in the coronal plane and rotation
in the axial plane.
7.10.2 Spinal Column Stability
The spinal column is considered stable if normal
mechanical loading does not cause any significant
displacement of the spinal motion segment and
more importantly, causes no change in neurologi-
cal status. This means in practice, that the spinal
column is considered unstable if there is deforma-
tion when a patient axially loads, i.e. stands or sits
upright. The question of stability is one of the
most important things to consider when assessing
a patient with spinal trauma.
Several classification systems are available
which help to determine the stability of the
thoracolumbar spine. In 1963, Holdsworth
(1963) published his two-column classification
system. In this, he defined the anterior column
to begin at the anterior longitudinal ligament and
finish at the posterior longitudinal. Elements pos-
terior to the posterior longitudinal ligament are
deemed the posterior column. He deemed that the
posterior ligament complex was vital in determin-
ing stability. If both anterior and posterior
columns were injured, the injury was unstable.
If a single column was injured, the stability
depended on the integrity of the posterior
ligaments, and so the posterior column involve-
ment. The only imaging modality available to
Holdsworth was plain radiography.
This two-column classification system has
now largely been superseded by the three-column
classification developed by Denis (1983) in the
1980s. With the advent of CT, Denis had more
information available and expanded the columns.
The anterior column now involved the anterior
longitudinal ligament and the anterior half of
vertebral body and intervertebral disc. The middle
column included the posterior half of the vertebral
body, disc and posterior longitudinal ligament.
The posterior column was the same, including
all posterior elements. Single-column injuries
were all deemed stable. Three-column injuries
were unstable. Two-column injuries involving
the middle column are usually unstable.
156 S. O’Brien and N. Darwish
Fig. 7.19 Spinal motion
segment, including two
vertebrae and their
intervertebral disc
More recently we are using the revised AO
classification (Vu and Gendelberg 2020). This
system includes three groups of fractures: com-
pression (Type A), distraction (Type B) and tor-
sional injuries (Type C) (Fig. 7.20). Type A
injuries are simple compression injuries, Type B
injuries are due to failure of the anterior or poste-
rior tension band without gross translation, and
Type C injuries are dislocation, rotational or
displacement-type injuries. Within each type,
there are subgroups which describe the severity
and stability of the injury. A higher number
indicates a more complex or unstable injury, for
example, an A4 injury is a complete burst fracture
involving both endplates and the posterior wall,
but with the posterior ligaments intact. It is much
more complex than an A1 injury, which includes
a simple end plate, with no involvement of the
posterior elements. In clinical practice, all A type
fractures and B1 fractures can be managed
non-operatively. B2 can be managed either
non-operatively or operatively, whilst B3 and C
fractures are all unstable and require operative
stabilisation.
Clinical clues to an unstable spine include
increased pain on axial loading, neurological
compromise and significant deformation.
7.10.3 Clinical Cases
7.10.3.1 Gunshot
A 35-year-old male presented with a gunshot
wound to his back. He was a usually fit and well
male, with a history of previous substance mis-
use. He sustained a single entry wound at the
level of his lumbar spine. On initial examination,
he had a right-sided neurological deficit. He had
altered sensation at L3-S1, with reduced power
3/5 in this distribution. He also had absent knee
and ankle reflexes. There was no associated
bowel or bladder disturbance. Initial imaging
was carried out with a CT trauma scan of head,
cervical spine, chest, abdomen and pelvis
(Fig. 7.21). This identified a comminuted fracture
of L3, with the bullet lodged in the right pedicle.
The fracture extended through the posterior
elements of L3 as well as involved the L2 spinous
process. Bony fragments were identified within
the spinal canal at the L2/3 level. Multiple gas
locules were demonstrated tracking from the skin.
Imaging also presented a left grade V renal injury
with extensive perinephric haematoma.
7 3D Visualisation of the Spine 157
Fig. 7.20 Revised AO Classification of Spinal Fractures
This gentleman was initially managed with
suitable resuscitation in the emergency depart-
ment. He required blood products, intravenous
fluids and significant analgesia. This was treated
as an open injury, which was likely to be
contaminated. As such, he was managed as per
the British Orthopaedic Association (BOA) and
British Association of Plastic and Reconstructive
Surgeons (BAPRAS) guidance on open fractures
(1). He received intravenous antibiotics and a
tetanus vaccine as well as tetanus immunoglobu-
lin. A urinary catheter was inserted, with the
urology team providing input for his renal injury.
He proceeded to the theatre the next morning
for operative intervention for his spinal injury. At
the time of surgery, the fracture was noted in the
L3 pedicle. The bullet was successfully removed
in one piece and sent to police as evidence. The
spine was then stabilised with pedicle screws
L2-L4 and pre-contoured rods. Intraoperative
fluoroscopy (Fig. 7.22) confirmed all screws
were appropriately sited. The gunshot tract was
extensively washed and debrided.
158 S. O’Brien and N. Darwish
Fig. 7.21 Pre-operative coronal, sagittal and axial CT images
Post-operatively the patient made good prog-
ress. His renal injury was managed
non-operatively. A check radiograph was
performed when stable (Fig. 7.23), which showed
pedicle screws and rods to be appropriately posi-
tioned, and good overall lumbar alignment. At
review, his sensation and power had improved,
and he was managing to mobilise independently
without any walking aid.
Diagnosis and operative planning would have
been impossible in this case without 3D radiolog-
ical imaging. His initial trauma scan was
reconstructed into a 3D image which could be
rotated, allowing the bullet to be easily visualised
in relation to his bony anatomy. Intraoperative
imaging was also vital to confirm the correct
level and ensure all metalwork was positioned
accurately.
7.10.3.2 Fracture on Background
of Ankylosing Spondylitis
The next case is that of a 67-year-old male who
was involved in a road traffic collision. He was a
restrained driver, who was hit head-on by another
motorist. He was able to self-extricate and
initially to mobilise at the scene; however, he
did have significant thoracic back pain. He has a
history of both ankylosing spondylitis and rheu-
matoid arthritis and was on biological therapy. He
had previous vertebroplasty surgery treating col-
lapse fractures of the thoracic spine, as well as
multiple non-operatively managed thoracic verte-
bral fractures. On examination, he had no focal
neurological deficit. He was haemodynamically
stable. His main complaint was of thoracic back
pain. No other injury was identified outside his
spine on primary or secondary survey.
Initial imaging was performed with a CT of the
thoracic spine (Fig. 7.24). This identified a three-
column, unstable T10 fracture on the background
of significant ankyloses. He had subsequent
imaging with a CT of the cervical and lumbar
spine to complete the series of CT imaging.
Initially, a fracture through the C6/7 disc space
was queried. At this stage, the patient was trans-
ferred to the tertiary spinal unit and had an MRI
Whole Spine (Fig. 7.25). The injury at C6/7 was
felt to be long-standing on this imaging and no
cord injury was identified; however, a posterior
epidural haematoma and anterior longitudinal lig-
ament injury were detected. Combining this infor-
mation, the patient was felt to have a highly
unstable T10 fracture and proceeded to theatre
the same day as an emergency.
7 3D Visualisation of the Spine 159
Fig. 7.22 Intraoperative
imaging
Fig. 7.23 Post-operative
radiographs
He had posterior stabilisation of T10 with ped-
icle screws and rods from T7-L2. Levels were
checked pre-operatively, and screw position was
checked intraoperatively using fluoroscopy
(Fig. 7.26).
160 S. O’Brien and N. Darwish
Fig. 7.24 Pre-operative sagittal MRI of cervical and thoracolumbar spine. Demonstrating the T10 fracture, as well as
excluding a new cervical injury
Post-operatively he recovered well. There was
no neurological deficit and he has been able to
mobilise independently. Post-operative
radiographs (Fig. 7.27) obtained showed metal-
work to be in the appropriate position.
This case highlights the importance of
recognising the extensive instability of this frac-
ture pattern in patients with ankylosing spondyli-
tis, and to a lesser extent, diffuse idiopathic
skeletal hyperostosis (DISH). Their spine is sig-
nificantly stiffer than a spinal column with no
underlying condition, and therefore they are
likely to sustain more significant injuries with a
higher risk of neurological compromise. It was
vital to obtain completion imaging of the whole
spine, as injuries at other sites are common, with
the incidence being quoted as 13.1%
(Lukasiewicz et al. 2016). With consideration of
all these factors, these injuries should be treated
as an emergency and should have posterior
stabilisation on the same day.
7.10.3.3 Cauda Equina Syndrome
This case is of a 43-year-old male who had a long-
standing history of lower back pain. For many
years he also had radicular pain in his right leg.
He presented to the emergency department with
1 week of increased lower back pain. His
radiculopathy had progressed to bilateral pain
over 3 days. He had 36 hours of difficulty with
urination, having difficulty initiating a urinary
stream. He was an otherwise fit and healthy gen-
tleman. On examination, his power was intact
throughout all myotomes and sensation intact
throughout all lower limb dermatomes. He did
have altered sensation in the S2–4 dermatomes
in the perianal area; however, anal tone was
intact. On presentation, he had difficulty initiating
a urinary stream, and so was catheterised. He was
found to have less than 200 ml residual volume in
his bladder.
An MRI was arranged by the emergency
department, which demonstrated a large L5/S1
disc protrusion which was causing cauda equina
compression (Fig. 7.28). He proceeded to the
theatre the following day for L5/S1 discectomy
and decompression.
7 3D Visualisation of the Spine 161
Fig. 7.25 Sagittal CT of
thoracic spine and axial CT
of T10. Arrow
demonstrates the significant
anterior opening
Post-operatively he recovered well. He had no
ongoing neurological deficit and was discharged
on day 3 post-operatively.
This gentleman presented with classical
symptoms of cauda equina syndrome. He had
back pain, bilateral leg pain, urinary disturbance
and perianal sensory disturbance. Excellent emer-
gency access to MRI scanning afforded this gen-
tleman the ability to be managed in a timely
fashion and thus avoided long-term neurological
compromise.
Fig. 7.26 Intraoperative imaging
7.10.3.4 Acute Thoracic Disc
with Neurological Compromise
The next case is that of a 46-year-old male who
presented with thoracic back pain, leg weakness
and loss of bladder control. He had no previous
significant medical history. Initially, he was
catheterised, with no significant residual volume
and was able to feel the catheter. He had normal
sensation in all lower limb dermatomes and nor-
mal power in all lower limb myotomes.
He proceeded to MRI (Fig. 7.29) which
demonstrated a T10/11disc extrusion with cord
compression.
At this stage, given there was no neurological
deficit, the decision was made to manage this
patient non-operatively. His bladder symptoms
resolved over 48 hours and his catheter was suc-
cessfully removed. Unfortunately, he subse-
quently went into urinary retention and had to
be re-catheterised a few days later. Power and
sensation remained intact in his lower limbs.
Operative management was then felt to be in his
best interest, and so he proceeded to theatre for
posterior decompression of T10/11.
The operation was performed as a dual consul-
tant case and a satisfactory decompression was
achieved, meaning both operating consultants felt
that the spinal cord was completely free with no
pathological tissue indenting it. The level was
confirmed on intraoperative imaging above.
Unfortunately, the patient developed a complete
loss of power in lower limbs bilaterally in recov-
ery. He had a sensory level at L1 and was unable
to feel the catheter. An emergency MRI was
arranged (Fig. 7.30).
162 S. O’Brien and N. Darwish
Fig. 7.27 Post-operative
AP and lateral radiographs
Fig. 7.28 Axial and sagittal MRI of lumbar spine, demonstrating large L5/S1 disc with cauda equina compression
The MRI confirmed that a satisfactory poste-
rior decompression had been performed at the
correct level. There was no evidence of epidural
haematoma, but cord signal change was evident.
However, given the significant neurological defi-
cit, the decision was made to proceed to anterior
decompression. Thoracic surgeons gained access
to the chest anteriorly and an anterior hemi
corpectomy, discectomy and cage was performed
(Fig. 7.31).
7 3D Visualisation of the Spine 163
Fig. 7.29 Axial and
sagittal MRI images of
thoracic disc
Post-operatively he was initially managed in
the high-dependency unit; however, he was
discharged to the ward within 48 hours.
His MRI was then repeated one week follow-
ing the initial surgery (Fig. 7.32).
This demonstrated a reduction in cord oedema,
but ongoing disc extrusion. The patient then
proceeded to revision discectomy and posterior
stabilisation T9-T12 (Fig. 7.33).
This patient made little neurological improve-
ment despite intensive intervention. Following
his admission, he had a period of rehabilitation
in the spinal injuries unit where he made some
improvements and was wheelchair independent
with most activities of daily living on his
discharge.
This case discusses thoracic disc disease with
compression of the spinal cord. MRI imaging was
vital for operative planning, and management was
changed by MRI appearances. Our learning point
from this case highlighted that navigation would
be useful in a complex case like this, to minimise
complications and prevent neurological compro-
mise. Another key issue is that time to surgery
should be as soon as possible to ensure the best
outcome.
7.10.3.5 Inflammatory
A 40-year-old female patient presented with a few
weeks of back pain and 4 days of right leg radic-
ular pain. She reported a 5 kg weight loss over
several months. She was systemically well with
no fevers. No previous significant past medical
history was noted. On initial examination, she had
right lower limb weakness in the L2/3 myotomes,
but intact distally. Bilateral hyperreflexia with
upgoing plantar reflexes. No bowel or bladder
disturbance initially. She proceeded to MRI of
whole spine. This demonstrated extensive multi-
level spondylodiscitis with multiple abscesses.
There was almost complete destruction of the T5
vertebrae with associated kyphosis. There was a
collection at the T4-6 level with cord compres-
sion. A similar picture was evident around T12
and L3/4 with bony destruction and ring enhanc-
ing collections (Fig. 7.34).
164 S. O’Brien and N. Darwish
Fig. 7.30 Post-operative
MRI imaging showing cord
signal change
Following MRI, the likely diagnosis was felt
to be tuberculous spondylodiscitis with abscess
formation. The patient was immediately
commenced on an antimicrobial regime to treat
TB and transferred to the spinal unit for
intervention.
Fig. 7.31 Intraoperative imaging demonstrating
thoracic cage
Following transfer, the patient developed
rapid, progressive deterioration, with complete
paralysis of the lower limb. Her sensory level
was at T7. Her power was 2/5 bilaterally in L2-4
and 1/5 in L5-S1. She had been in urinary reten-
tion and was catheterised. She proceeded to the-
atre for posterior decompression and stabilisation
T2 to L2 (Fig. 7.35). Such a significant
stabilisation was required due to the significant
bony destruction and compression of the spinal
cord. A large volume of pus was evacuated and
these samples confirmed the diagnosis of
TB. Overall spinal alignment was considerably
improved with the correction of the previous
kyphosis.
Post-operatively she remained systemically
well. She had extensive input from infectious
diseases, who monitored her TB therapy. She
completed a period of rehabilitation in the spinal
injuries unit where some improvements were
made. She was continent of bowel and bladder.
She was able to mobilise short distances with a
rollator as power improved.
This patient had extremely extensive tubercu-
lous spondylodiscitis on initial imaging. She had
a very successful decompression with copious
pus drained and a stable fixation performed.
This highlights TB as a highly aggressive
pathogen, and an important one to consider. This
was a complex case which required input from the
whole multidisciplinary team, including spinal
surgeons, infectious diseases physicians and the
specialist rehabilitation team. This case highlights
the need for emergency surgical decompression
with neurological compromise, as this patient had
complete lower limb paralysis pre-operatively
and is now able to mobilise.
7 3D Visualisation of the Spine 165
Fig. 7.32 Post-operative
sagittal and axial MRI
1 week following surgery
Fig. 7.33 Final post-
operative AP and lateral
radiographs
166 S. O’Brien and N. Darwish
Fig. 7.34 Initial Whole
Spine MRI Sagittal and
axial cut at T12
Fig. 7.35 Post-operative
AP and lateral radiographs
7 3D Visualisation of the Spine 167
7.11 Conclusion
Visualisation of the human spine allows us to
better understand and manage patients with spinal
pathology. In this chapter, basic visualisation
techniques were discussed including plain
radiographs, as well as more modern and complex
modalities such as the MRI advance of zero ET
and intraoperative CT using the O-arm. A sound
knowledge of anatomy and spinal biomechanics
is vital to truly comprehend the 3D spine, and this
chapter discusses the basic aspects of these. 3D
printing can be used to enhance spinal surgery in
many ways, including improved pre-operative
planning, use in intraoperative templating and
for improved surgical education. Navigation and
robotic surgery allow surgeons to visualise the
human spine in real-time 3D, therefore allowing
improved screw positioning and intraoperative
feedback. This development of human–computer
interaction has allowed higher levels of surgical
accuracy, and therefore overall improved surgical
outcomes. There is a continuous development of
new technologies, such as robotics and virtual
reality, which will only improve patient care in
the future.
References
Alluri RK, Sivaganesan A, Vaishnav AS, Qureshi SA
(2021) Robotic guided minimally invasive spine sur-
gery. Minimally invasive spinal fusion. IntechOpen,
London
Baumrind S (2011) The road to three-dimensional imaging
in orthodontics. Seminars in orthodontics. Elsevier,
New York, pp 2–12
Berger A (2002) Magnetic resonance imaging. BMJ 324:
35
Biswas D, Bible JE, Whang PG, Simpson AK, Grauer JN
(2008) Sterility of C-arm fluoroscopy during spinal
surgery. Spine 33:1913–1917
Cawley D, Dhokia R, Sales J, Darwish N, Molloy S (2020)
Ten techniques for improving navigated spinal sur-
gery. Bone Joint J 102:371–375
Coley BD (2013) Caffey’s pediatric diagnostic imaging
e-book. Elsevier Health Sciences, New York
Dasarju VK, Sree S, Kikkeri MS, Shireesha B, Pallavi N,
Kumar CS (2020) Magnetic resonance imaging in spi-
nal tumors, vol 5. IJCMSR
Denis F (1983) The three column spine and its significance
in the classification of acute thoracolumbar spinal
injuries. Spine 8:817–831
Garroway AN, Grannell PK, Mansfield P (1974) Image
formation in NMR by a selective irradiative process. J
Phys C Solid State Phys 7:L457
Giunta CJ, Mainz VV (2020) Discovery of nuclear mag-
netic resonance: Rabi, Purcell, and Bloch. Pioneers of
magnetic resonance. ACS Publications,
Washington, DC
Holdsworth F (1963) Fractures, dislocations, and fracture-
dislocations of the spine. J Bone Joint Surg Am 45:6–
20
Holly LT, Kelly DF, Counelis GJ, Blinman T, McArthur
DL, Cryer HG (2002) Cervical spine trauma associated
with moderate and severe head injury: incidence, risk
factors, and injury characteristics. J Neurosurg 96:285–
291
Hounsfield GN (1980) Computed medical imaging. Sci-
ence 210:22–28
Hull CW (1986) Apparatus for production of three-
dimensional objects by stereolithography. Google
Patents
Jimenez RR, Deguzman MA, Shiran S, Karrellas A,
Lorenzo RL (2008) CT versus plain radiographs for
evaluation of c-spine injury in young children: do
benefits outweigh risks? Pediatr Radiol 38:635–644
Kamalian S, Lev MH, Gupta R (2016) Chapter 1 -
Computed tomography imaging and angiography –
principles. In: Masdeu JC, González RG (eds) Hand-
book of clinical neurology. Elsevier, New York
Kelley SP, Ashford RU, Rao AS, Dickson RA (2007)
Primary bone tumours of the spine: a 42-year survey
from the Leeds regional Bone Tumour Registry. Eur
Spine J 16:405–409
Khanna AR, Yanamadala V, Coumans JV (2016) Effect of
intraoperative navigation on operative time in 1-level
lumbar fusion surgery. J Clin Neurosci 32:72–76
Kumagai G, Wada K, Tanaka S, Asari T, Nitobe Y,
Ishibashi Y (2022) Association between intraoperative
computed tomography navigation system and inci-
dence of surgical site infection in patients with spinal
surgeries: a retrospective analysis. J Orthop Surg Res
17:52
Lauterbur PC (1973) Image formation by induced local
interactions: examples employing nuclear magnetic
resonance. Nature 242:190–191
Ljungberg E, Damestani NL, Wood TC, Lythgoe DJ,
Zelaya F, Williams SCR, Solana AB, Barker GJ,
Wiesinger F (2021) Silent zero TE MR neuroimaging:
current state-of-the-art and future directions. Prog Nucl
Magn Reson Spectrosc 123:73–93
Lukasiewicz AM, Bohl DD, Varthi AG, Basques BA,
Webb ML, Samuel AM, Grauer JN (2016) Spinal
fracture in patients with ankylosing spondylitis: cohort
definition, distribution of injuries, and hospital
outcomes. Spine (Phila Pa 1976) 41:191–196
168 S. O’Brien and N. Darwish
Maier A, Steidl S, Christlein V, Hornegger J (2018) Medi-
cal imaging systems: an introductory guide. Springer,
New York
NICE, National Institute for Health and Care Excellence
(2008) Metastatic spinal cord compression in adults:
risk assessment, diagnosis and management. Clinical
guideline [CG75]
NICE, National Institute for Health and Care Excellence
(2014) Head injury quality standard [QS74]
Nolte LP, Visarius H, Arm E, Langlotz F,
Schwarzenbach O, Zamorano L (1995) Computer-
aided fixation of spinal implants. J Image Guid Surg
1:88–93
Ojodu I, Ogunsemoyin A, Hopp S, Pohlemann T, Ige O,
Akinola O (2018) C-arm fluoroscopy in orthopaedic
surgical practice. Eur J Orthop Surg Traumatol 28:
1563–1568
Pally E, Kreder HJ (2013) Survey of terminology used for
the intraoperative direction of C-arm fluoroscopy. Can
J Surg 56:109
Patel A, James S, Davies A, Botchu R (2015) Spinal
imaging update: an introduction to techniques for
advanced MRI. Bone Joint J 97:1683–1692
Rontgen WC (1896) On a new kind of rays. Nature 53:
274–276
Röntgen WC (1896) On a new kind of rays. Science 3:
227–231
SBNS (2018) Standards of care for investigation and man-
agement of cauda equina syndrome
Sheha ED, Gandhi SD, Colman MW (2019) 3D printing in
spine surgery. Ann Transl Med 7
Stimson LA (1899) A practical treatise on fractures and
dislocations. Lea & Febiger
Svensson H, Olofsson E, Karlsson J, Hansson T, Olsson
L-E (2016) A painful, never ending story: older
women’s experiences of living with an osteoporotic
vertebral compression fracture. Osteoporos Int 27:
1729–1736
Tang J, Zhu Z, Sui T, Kong D, Cao X (2014) Position and
complications of pedicle screw insertion with or with-
out image-navigation techniques in the thoracolumbar
spine: a meta-analysis of comparative studies. J
Biomed Res 28:228–239
Vu C, Gendelberg D (2020) Classifications in brief: AO
thoracolumbar classification system. Clin Orthop Relat
Res 478:434
Winans J (2018) Melville’s Dr. Raymond Damadian,
Father of the MRI. Long Island Press [Online].
https://www.longislandpress.com/2018/01/08/
melvilles-dr-raymond-damadian-father-of-the-mri/
Young IR (2004) Significant events in the development of
MRI. J Magn Reson Imaging 20:183–186
Part III
Anatomy Education
Visualization in Anatomy Education 8
Apurba Patra, Nagavalli Basavanna Pushpa,
and Kumar Satish Ravi
Abstract
In the post-pandemic era, one of the significant
challenges for anatomy teachers is to recipro-
cate the experience of practical exposure while
teaching the subject to undergraduates. These
challenges span from conducting cadaveric
dissections to handling real human bones,
museum specimens, and tissue sections in the
histology lab. Such exposures help the
instructors to develop interactive communica-
tion with their fellow students and thus help to
enhance communication skills among them.
Recently, anatomy teachers all over the world
started using cutting-edge educational
technologies to make teaching-learning
experiences for students more engaging, inter-
esting, and interactive. Utilizing such cutting-
edge educational technologies was an “option”
prior to the pandemic, but the pandemic has
significantly altered the situation. What was
previously an “option”is now a “compulsion.”
Despite the fact that the majority of medical
schools have resumed their regular on-campus
classes, body donation and the availability of
cadavers remain extremely limited, resulting
in a deadlock. Anatomy teachers must incor-
porate cutting-edge educational technologies
into their teaching and learning activities to
make the subject more visual. In this chapter,
we have attempted to discuss various new
technologies which can provide a near-
realistic perception of anatomical structures
as a complementary tool for dissection/
cadaver, various visualization techniques cur-
rently available and explore their importance
as a pedagogic alternative in learning anatomy.
We also discussed the recent advancement in
visualization techniques and the pros and cons
of technology-based visualization. This chap-
ter identifies the limitations of technology-
based visualization as a supplement and
discusses effective utilization as an adjunct to
the conventional pedagogical approaches to
undergraduate anatomy education.
A. Patra
Department of Anatomy, All India Institute of Medical
Sciences, Bathinda, Bathinda, Punjab, India
N. B. Pushpa
Department of Anatomy, JSS Medical College,
JSSAHER, Mysore, Karnataka, India
K. S. Ravi (✉)
Department of Anatomy, All India Institute of Medical
Sciences, Rishikesh, Rishikesh, Uttarakhand, India
#The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
E. Abdel Meguid et al. (eds.), Biomedical Visualisation, Advances in Experimental Medicine and
Biology 1406, https://doi.org/10.1007/978-3-031-26462-7_8
171
Keywords
Anatomy education · Curriculum · Cadavers ·
Remote learning · Virtualization
8.1 Introduction
Human anatomy is a fundamental subject in med-
ical education. A basic understanding of the
bodily structure and architecture of humans is a
must to become a competent physician. Further-
more, sound knowledge of regional anatomy is
necessary to know the disease process, gain sur-
gical skills and interpret radiological imaging.
Learning anatomy entails the study of body tissue
and organ system and appreciating their 3D ori-
entation (Basavanna et al. 2022). Although the
learning modality (visual, auditory, reading, and
kinaesthetic) preference of the student has to be
considered while delivering the concepts, it is not
a hard and fast rule to stick to it. Moreover, anat-
omy learning is not limited to understanding the
3D orientation of the organ system but also under-
standing the complex dynamics of development,
the microstructure of tissues, and analyzing and
interpreting radiology images (Hall 2016). The
potential to interpret 3D anatomical features in
2D cross-sectional text or pictures can be trouble-
some for undergraduate students (Keenan and
Ben Awadh 2019).
172 A. Patra et al.
Presently, the main impetus behind
incorporating technology-based learning in the
ongoing curriculum is to enhance undergraduate
medical students’learning of clinically oriented
anatomy, improvement in skill coordination, team
training, and enhancement of perceptual variation
(Guze 2015). Here, we will describe various visu-
alization techniques currently available and
explore their importance as a pedagogic alterna-
tive in learning anatomy. Following this, we will
discuss the recent advancement in visualization
techniques. Lastly, we wish to briefly debate the
merits and demerits of technology-based visuali-
zation and identify their limitations as a supple-
ment and effective tool to utilize as an adjunct to
the conventional pedagogical approaches to
undergraduate anatomy education.
8.1.1 Changing Scenario in Anatomy
Education
For decades, anatomy has been taught and
learned through lectures and textbooks with 2D
or line diagrams. Cadaveric dissection is the most
admired and widespread way of studying anat-
omy, which enables us to visualize structures in
their three-dimensional form with spatial
relationships. Many studies have concluded that
cadaveric dissection is the only 3D experience
students receive in their anatomy learning. The
limited exposure to 3D learning increases the
cognitive burden on students since they struggle
to translate the 2D experience into a 3D experi-
ence (Guillot et al. 2007). Also, observation and
visualization are essential components of learning
anatomy (Jasani and Saks 2013). Not only gross
anatomy but understanding developmental anat-
omy/embryology and complex dynamics is diffi-
cult with available handmade models (Ruiz et al.
2009). Over recent years, anatomy teaching has
been moving from conventional cadaver dissec-
tion to virtual cadavers, 3D printed specimens,
and computed 3D body systems (Sharma and
Kumar 2021). The virtual dissection table utilizes
simulation technology to offer a realistic 3D visu-
alization of the anatomical details of a virtual
cadaver. The most significant advantage of a vir-
tual cadaver is that students can “do-redo-repeat”
dissection. This can significantly aid most medi-
cal schools which do not have access to donors
due to the pandemic, and virtual dissectors can
help to compensate for the deficit (Ravi 2020).
Most medical schools, which used almost no
technology-based medical education applications
in the pre-pandemic era, are now widely adopting
these tools to effectively deliver anatomy
knowledge.
8.1.2 Traditional 3D Visualization
in Anatomy and Its Limitations
The effectiveness and applicability of teaching
depends on the optimal availability of study mate-
rial. In traditional pedagogy, cadaver dissections,
real bones, skeletons, museum specimens, and
handmade clay models have always remained
the primary sources of learning 3D anatomy.
Although all of these modalities are proven
ways of learning anatomy, they have their own
limitations. The lack of cadavers and the ethics
associated with their acquisition discourage the
administration of some medical schools from
continuing with cadaveric dissection. Very
recently, the pandemic has shown us how
important it is for medical schools to be prepared
with suitable alternatives. Real human bones and
articulated skeletons are a good resource for
studying musculoskeletal anatomy and their spa-
tial relationships, but less availability and enor-
mous cost make their acquisition problematic. An
essential part of teaching anatomy is the use of
high-quality human anatomical specimens that
can demonstrate the topographical relationships
of individual anatomical structures. However,
long-term use of these real human specimens
leads to their degradation, which reduces the
quality of teaching. Handmade clay models
depicting different stages of human development
are also a very good resource for understanding
the dynamic events of embryogenesis. However,
the production of these models requires human
precision, and their fragility also leads to degra-
dation, limiting the quality of teaching. Students
also use anatomical literature, scripts,
illustrations, and atlases. However, anatomical
atlases, which are indispensable in learning anat-
omy, are quite expensive for students. This
accounts for the emerging use of 3D interactive
anatomy models as significant alternative study
tools for students. These tools help them to
correctly interrogate and understand the really
intricate topographical and functional
relationships of anatomical structures (Brazina
et al. 2014). It is indeed of great concern that
students have opined that they have acquired a
lack of knowledge of anatomy despite having
good quality specimens supported by various
teaching methods (Dev et al. 2002; Basavanna
et al. 2022).
8 Visualization in Anatomy Education 173
8.2 Potential Technological Tools
of Visualization in the Teaching
of Anatomy
With this background, we would like to present
possible solutions for supporting education
through various interactive applications. In par-
ticular, newer applications such as 3D printing,
computerized learning management systems
(LMS), virtual classrooms, artificial intelligence,
cloud technology, virtual dissection, simulation,
radiological imaging, immersive technology,
web-based learning, and interactive 3D computer
graphics, etc. (Owolabi and Bekele 2021). The
3D approach provides students with an advanced
way to work with scanned images of human
tissues and organs using 3D computer simulation.
Interactive 3D models were developed with the
appropriate modeling tool for research purposes.
Typically, this period is a transition to a visuali-
zation and simulation environment created to
solve a specific problem or cope with the global
learning environment of current 3D visual tools
(Fig. 8.1).
8.2.1 3D Printing in Anatomy
Three-dimensional printing is a technique of cre-
ating a physical object using a 3D computer
model. Here, printed materials are layered on
top of each other using computer control to pro-
duce an object/pattern that matches the real thing.
Figure 8.2 represents a flow chart showing the
methodology of developing 3D printed models
from a patient CT/MRI. It is another newer
modality to create a 3D model of dissected
specimens so that the complex architecture of
any tissue can be made accessible to students in
a more comprehensive way. 3D printing is an
impressive tool for creating synthetic models of
organs and structures. It is possible to create
models that students can explore, interact with,
and learn from in a group. 3D printing is very
useful for both visual and kinaesthetic learners. It
can reduce the time spent on planning and design-
ing models (Abou Hashem et al. 2015; Sharma
and Kumar 2021). Other advantages include user-
friendly or easy creation of geometric parts with
added complexity, replication of models in large
numbers or easy prototyping, cost-effectiveness
(no molds required), fully customizable, creation
of parts with specific properties, accuracy
(computer-aided design), no-use of formalin, no
human or animal tissues are used, so there are no
ethical concerns. Apart from that, creating models
with anomalies to arouse interest in applied anat-
omy and clinical cases (Ye et al. 2020). There
were also several disadvantages, including
fragility as the parts are assembled layer over
layer, which decreases the strength by 10–50%,
more cost at high volume, post-processing
requirements such as grinding or smoothing to
create the desired finish, and heat treatment to
achieve specific material properties or final
processing.
174 A. Patra et al.
Fig. 8.1 Represents a flow chart listing newer tools/techniques for visualization in anatomy other than cadaveric
dissection
Role of 3D Printing Anatomy Teaching
Amongst the various teaching aids available, dis-
section is the elite and most effective teaching
mode. The unavailability of cadaver dissection
has resulted in hindrances in anatomy education
for students (Kerby et al. 2011). The complex
architecture of organs (liver) or small bones (ear
ossicles) may not be clearly visible during
dissection, and students might find difficulty
understanding them. 3D printed models of such
structures can be of great help. The complex
architecture of extraocular muscles with respect
to the eyeball is quite difficult to understand for
medical students; hence a 3D printed model of
such a structure aids students in understanding the
system effectively (Fig. 8.3). Moreover, 3DP of
organs/bones is a cost-effective way that provides
a haptic study for better understanding (Kong
et al. 2016).
Fig. 8.2 Flow chart
showing the methodology
of developing 3D printed
models from Patient
CT/MRI
3D printed models of the skull, transverse
sections of the brain, orbital anatomy, and cardio-
vascular development (Fig. 8.3) can be used to
teach complex anatomy of difficult regions and
different surgical procedures pertaining to these
regions. Mainly related to the heart, cardiovascu-
lar 3D printing augments the diagnostic work-up
of complex congenital heart defects and assists in
planning surgical and interventional procedures.
8 Visualization in Anatomy Education 175
Fig. 8.3 3D printing models of different organs (owned by authors for copyright)
8.2.2 3D Learning Management
System
Currently, LMS offers limited access for teachers
and students to design teaching and learning
activities based on experience and collaboration.
Integrating two environments (LMS and 3D) is
not the only method to improve learning; this
combination can enhance students’independent
learning skills (Yasar and Adiguzel 2010). 3D
LMS Software provides students with interactive
anatomy resources. This software enables users
with an interactive way to visualize, appreciate,
dissect, and study real-life examples of human
anatomy on their computer screens. Below we
explain the student and Instructor’s 3D views.
Student view:
Students can download the 3D anatomy soft-
ware directly to their PC/laptop and access 3D
anatomy resources anytime, anywhere. 3D
Anatomical Visualization uses CT/MRI scans
from real patients to develop interactive 3D
visualizations that depict realistic patient anat-
omy. The screen’s pan and zoom provisions
allow students to visualize and study any
anatomical structures with their 3D spatial
relationships. Students can peel back layers of
tissue and explore through tissue and color
modes to appreciate and learn each structure
in 3D.
Instructors’View:
With the help of interactive 3D visualizations,
teachers can enhance less engaging lecture
materials to make them more interesting so that
students can better understand anatomical
concepts before entering the dissection lab.
Instructor features in 3D anatomy software make
it easy to develop engaging and real anatomical
material for the lecture. For example, using an
online portal, instructors can easily assign quizzes
and homework to the students and track their
performance with automated grading. 3D visuali-
zation scans reconstructed from real CT/MRI
scans can aid in student interaction, dissection,
and teaching. In addition, teachers can mark and
annotate specific anatomical structures/including
additional content such as images or text from the
reading material.
176 A. Patra et al.
The multimodal role of 3D LMS in the trans-
formation of anatomy education:
3D LMS has enormous potential to make anat-
omy visible. For this, we need to incorporate and
implement it in the ongoing curriculum using
three formats as suggested below:
Inside the lecture hall: Learning objectives and
course materials can be presented to students with
the help of the lecturer’s version of the software.
Depending on instructor preference, this can be
completed before the session and incorporated
into PowerPoint videos/slides or demonstrated
live in front of students with a multimedia
projector.
Inside the Dissection Lab: Students can work
individually/in small groups to complete the vir-
tual dissection, which is part of the active learning
modules. Every lab module could include step-
by-step instructions for the students to complete a
virtual autopsy.
At Home: Students can be assigned homework
and apply their classroom and lab knowledge to
answer interactive quizzes provided in the assess-
ment modules. In addition, several educational
programs provide ungraded review modules to
help students prepare for exams.
3D LMS provides a new range of learning
opportunities. The nature of the environment
provided is generative, enabling users to explore
and interact with an already existing 3D environ-
ment and extend that experience by creating their
own study materials (Kluge and Riley 2008).
Elsevier’s Complete 3D Anatomy tutorial was
one of the tools which helped teach anatomy
during the pandemic. The software has voice
recording features that allow video creation
using dynamic 3D representations to design
video lectures linked to a learning management
system (LMS) or directly through the software
platform. In addition, this 3D software also offers
a kinesthetic advantage based on the VARK
learning theory (Othmana and Amiruddinb
2010; Bhagat et al. 2015; Mozaffari et al. 2020).
8.2.3 Virtual Classroom
A virtual classroom (VC) is a video conferencing
tool in which instructors/teachers and participants
engage using learning material. The difference
between VC and other video conferencing tools
is that VCs provide add-on features necessary for
a learning environment. This platform aids in
making learning an interactive and engaging pro-
cess in a controlled environment that goes beyond
the classroom. Instructors can access the class-
room prior to the session to prepare study mate-
rial. This study content, as well as the recording
of the session, is available after the class for
reference by both instructors and participants.
Participants can join the virtual classroom
platforms using any device with an internet con-
nection. This type of flexibility allows
participants to learn the content anywhere in the
world. Another great benefit of a virtual class-
room is that it makes it easy to track student
progress. Instructors can collect data such as
class attendance and student activity. They can
track participant progress through online surveys
and analytics, identify areas of difficulty, and use
visual tools to facilitate learning challenges for
participants. Finally, many virtual classroom
platforms can be integrated into an institution’s
existing Learning Management System (LMS).
Advanced platforms aid Learning Tools Interop-
erability (LTI) so that the virtual classroom sys-
tem and LMS can communicate with each other,
making the whole perspective more effective.
Current techniques such as smart boards to draw
diagrams, video presentations with hyperlinks
(Osmosis videos (Haynes et al. 2014; Guven
et al. 2020) and ScholarRx videos (Le and Prober
2018)) may be incorporated through a learning
management system (LMS), and 3D images are
more attractive and make students active. The
LMS provides its students with lecture
broadcasts, allowing them to visit a “virtual class-
room”anywhere, anytime, and track student
activities, progress, and compliance (Owolabi
and Bekele 2021). These information
technologies are even more important to complete
the Anatomy E-book curriculum on smartphones,
laptops, or tablets; they are easily accessible
“mobile libraries”that allow students to consult
them even between lectures.
8 Visualization in Anatomy Education 177
8.2.4 Cloud Technology/Educational
Videos
Cloud technology (CT) in medical education
treats students and administrators equally. CT
allows students to access homework anywhere
with internet access, allows teachers to upload
learning materials instantly, and to collaborate
with each other easily, saving money on data
storage. It gives students the opportunity to live
chat and share knowledge on a specific topic and,
therefore, can be used in a new educational
model. In this technique, students watch the lec-
ture in advance, and this allows for more detailed
and engaging discussions during class. Addition-
ally, group work and analytical activities can take
place in the classroom. The flipped classroom
helps improve learning outcomes, not only in
terms of student performance but also in
internalizing information for better results
(Hurtubise et al. 2015; Hew and Lo 2018).
CT-based tools have been gaining popularity
over the decades, but the pandemic has caused a
paradigm shift in its current acceptability as a
visualization technique in the teaching of anat-
omy. Technologies based on CT are one of
the demanding and actively developing areas of
the world of modern information technology. In
the educational process, the use of CT is becom-
ing more popular and opens up many
opportunities for students, teachers, and educa-
tional institutions. Below are the main domains
of cloud technology in teaching anatomy:
Nowadays, mobile devices dominate the tech-
nology world and have become an essential tool
in learning. Running a full-scale 3D human body
directly from a smartphone or tablet for learning
purposes, hospital practice and even for direct
guidance of medical procedures would become a
trivial method. However, it is still quite tricky due
to software and hardware (Gopalakrishnakone
et al. 2010).
Online Cloud-Based Mobile Enabled 3D
Human Body E-Learning Solution:
This is a platform that can render a complex
3D human body using the power of cloud com-
puting environments. The model uses adaptive
technologies to display dynamic 3D content on
any kind of modern device, from tablets to
smartphones and notebooks. The atlas contains a
detailed and accurate representation of the human
anatomy and an interesting, unique feature: real-
time modification of body parts directly related to
an associated disease.
Cloud computing environment: The
functionalities of this E-learning solution is
achieved by using the latest technologies for
advanced browser-based 3D modeling (for a pre-
cise view of the components of the human body)
combined with the outstanding power of
Windows Azure cloud computing services to
ensure prompt and efficient interaction through
the application.
The most important aspect of this technology
is Blob Storage. After exporting and adding the
parts of the body to the app (3D models), each
part is converted into a blob, each containing a
small piece of the human body. This technique
gets benefitted from CDN (Content Delivery Net-
work), which allows the data to be sent from
multiple locations or the closest and most reliable
location to the user.
Since the system is cloud-based, it has “unlim-
ited”processing power. This feature not only
helps to convert the 3D object into a blob and
vice-versa but also does a small pre-processing
phase by converting the classic 3D object to
WebGL (Web Graphics Library) 3D object server
side so that a lot of the processing power is moved
from client side to server side, which allows the
models to be seen on low-performance devices.
Another important aspect that makes this
E-learning unique is the usage of object-oriented
databases. This way, the user can get benefitted
from the elasticity of cloud-based databases to
map all the 3D features (color, size, neighbors,
status, etc.). Mapping can be done not just inside
3D objects themselves but directly into a database
and from there to the app. So, whenever any
editing is done to a 3D object feature, it will
also be stored in the database. They are not
editing the object itself but only changing the
info in the database (Butean et al. 2014).
178 A. Patra et al.
The SaaS (Software as a service) model is
considered one of the biggest advantages of
cloud-based computing. It is common for soft-
ware applications to be available to students for
a low fee or for free, making education accessible
to most students. Textbooks recommended by
universities are often expensive and sometimes
outpace another element of medical education,
including tuition. As a result, many students
refrain from purchasing them. Cloud-based
textbooks are one solution to this problem. Digital
books are usually cheaper; thus, students with
lower incomes can gain access to high-quality
education. The implementation of cloud
technologies removes the financial inequalities
between students who may exist in the same
educational environment.
Cloud technologies make learning a simple
and fun experience for participants on both sides
of the learning process. Recently, during the
COVID pandemic, students and teachers have
gained access to this technology for seamless
continuation of anatomy and other curricula and
have greatly appreciated its easy accessibility,
time and money savings, instant feedback, valu-
able information, and inexpensive textbooks.
8.2.5 Virtual Dissection
Over the past decade, the teaching of anatomy has
gradually shifted from wet lab to virtual dissec-
tion, pre-dissected and plasticized specimens, and
virtual 3D body systems. The virtual dissection
table utilizes simulation technology to deliver a
realistic visualization of the 3D anatomical details
of a virtual cadaver. Unlike cadavers, students can
“do-return-repeat”dissection multiple times. The
Synchronized Multiple Visualizer System is soft-
ware for teaching anatomy and physiology,
including certain aspects of histology, compara-
tive anatomy, embryology, and pathology
(Owolabi and Bekele 2021). The virtual dissec-
tion table is a commercial product of Anatomage
(a USA-based company) (Fig. 8.4). This virtual
cadaver table can serve different purposes based
on the student’s needs and the user’s expertise.
These uses may include virtual dissection, virtual
3D atlas, teaching aids, and virtual simulators of
human body anatomy and functions (García et al.
2018).
8.2.6 Radiographic Modalities
The use of visualization technologies in the teach-
ing of anatomy should not be restricted to the
mere demonstration of anatomical images for a
more detailed, interactive, or accessible format
(Bajka 2004). Identification of anatomical
structures in clinical images is a professional
requirement for disease diagnosis and treatment.
Thus, the use of imaging in the medical curricu-
lum should also focus on preparing future doctors
to use these technologies appropriately in their
future practice. In this regard, an effective
approach to integrating radiology teaching into
anatomy teaching can be aided by the use of
technology-assisted visualization (Webb 2013).
Computed tomography (CT) and magnetic res-
onance imaging (MRI) are used extensively in the
majority of anatomy courses to understand better
the various clinical conditions discussed in anat-
omy sessions (Mavrych 2016). Recently, medical
technology has provided synthetic cadavers with
organs equipped with an ultrasound probe inside
for better visualization. The use of endoscopy and
colonoscopy to visualize the internal anatomy of
the intestine can make the topic particularly inter-
esting and engaging for students (Patra et al.
2022).
8.2.7 Online or Web Screen
Visualization
Distance online learning and portable networking
devices are becoming an essential component of
the learning environment in anatomy education,
impacting the design and reshaping of the anat-
omy curriculum. Some lectures are delivered
online through systems such as Zoom meetings,
Go - to the webinar, Google classrooms or
Microsoft Teams, etc. These new communication
and information modalities can be used to
improve teaching and learning experiences.
They have the ability to facilitate student learning
and problem-solving potential, allowing for better
integration of the didactic classroom experience
and smoother clinical practice. Technologies can
merge a large amount of factual information in
digitized form to make conventional didactic
lectures more interesting (Mavrych 2016).
8 Visualization in Anatomy Education 179
Fig. 8.4 Anatomy Professor teaching students using virtual dissection table (this is from our medical school, copyright
owned by us and permission obtained from students)
8.2.8 3D Stereoscopy
Stereoscopy refers to increasing or creating the
illusion of depth using binocular vision or a ste-
reoscope. An advanced stereoscope allows
viewers to perceive three-dimensional depth in
two-dimensional images (Holliman 2005). It
was Daniel John Cunningham, a Scottish anato-
mist, who first used stereoscopy in the teaching of
anatomy. Stereoscopic 3D instructional videos
are available and affordable via smartphone, a
complementary tool that has proven more benefi-
cial than 2D videos in improving students’
knowledge of anatomical relationships and
reasoning. The most challenging aspect of
learning anatomy is the correlation between the
3D complexity of a structure and its anatomy.
This can be better achieved by using 3D videos
of autopsies or surgeries. The anatomy of the
brain is complicated to learn. As their anatomical
structures are numerous and assembled in a com-
plex three-dimensional (3D) architecture, classi-
cal schematic drawing or two-dimensional
(2D) photography has proven difficult in
providing a simple, clear, and accurate message.
Advances in photography and computer science
led to the development of stereoscopic 3D visual-
ization, first for entertainment and then for educa-
tion. Stereoscopic 3D teaching of neuroanatomy
has sparked enthusiasm for digital technology
among medical students. It could improve their
anatomical knowledge and test results, as well as
their clinical competence. Depending on the
institute’s possibilities and the teachers’commit-
ment, this new modality should also be extended
to other anatomical disciplines. However, its
implantation requires trained faculties and its
impact on clinical competence needs to be objec-
tively assessed (Jacquesson et al. 2020).
Incorporating 3D videos as supplementary teach-
ing in the curriculum could enhance students’
knowledge of anatomical relationships and
reasoning. (Bernard et al. 2020).
180 A. Patra et al.
8.2.9 Interactive 3D Computer
Graphics (3DCG) Model
Medical students frequently find it difficult to
conceptualize 3D anatomical structures, such as
bone alignment, spatial muscle anatomy, and
complex movements, from 2D images (Battulga
et al. 2012). Although cadaveric dissection allows
haptic understanding of 3D anatomical structures,
it is expensive and time-consuming (McLachlan
and Patten 2006). In addition, the time allocated
to complete the anatomy curriculum decreases
year by year (Cottam 1999; Drake et al. 2009),
leading to increased cognitive load and hindering
the learning of anatomy for students with poor
spatial skills (Garg et al. 2001; McLachlan et al.
2004; Levinson et al. 2007; Huk 2006). Thus, the
current trend is to achieve anatomical understand-
ing in a short period by incorporating innovative
educational technologies in anatomical education.
Animated and interactive three-dimensional com-
puter graphics (3DCG) models are a relatively
new technology that can approximate human
anatomy and movement. 3DCG models have
shown promise in achieving a spatial understand-
ing of 3D anatomy from 2D images (Fig. 8.5) and
text and in overcoming many of these learning
tasks. According to Mayer’s cognitive theory of
multimedia learning, students learn best with both
words and pictures in an electronic learning envi-
ronment (Mayer 2009). 3DCG visually conveys
semi-real information to students, allowing them
to easily grasp the content. In addition, the inter-
active 3DCG content also improves students’
cognitive abilities.
Several institutions have developed 3DCG
animation and interactive 3DCG (Silén et al.
2008). Kobayashi et al. reported that it was
much easier and more accurate to explain the
details of surgical procedures using 3DCG ani-
mation than 2D illustration (Kobayashi et al.
2006). In addition, methods have been developed
to allow users to create highly specialized 3DCG
content on the web. The use of 3DCG models has
benefits over traditional methods of teaching
anatomy; however, their development and adop-
tion are time-consuming. Therefore, new educa-
tional methods of teaching information and
communication technologies are needed.
8.3 Recent Advances
in Visualization
8.3.1 Anatomy Studio
3D reconstruction from anatomical sections
allows anatomists to develop 3D representations
of real anatomical structures by tracing organs
from cryosection sequences. However, conven-
tional user interfaces depend on a single user
experience to develop content for educational or
training purposes. Anatomy Studio, a mixed real-
ity (MR) tool for virtual dissection through aug-
mented three-dimensional reconstruction (3DR),
combines tablet drawing with touch and transpar-
ent head-mounted displays with MR-based visu-
alization to perform 3DR of anatomical
structures. This is a new interactive technique
designed to support spatial understanding and
speed up manual segmentation. Using in-air
interactions and interactive surfaces, instructors
can easily access the cryosection and edit
contours while watching other users’
contributions. A user study involving experienced
instructors and medical professionals conducted
in actual working sessions shows that Anatomy
Studio is suitable and beneficial for 3D recon-
struction. The results suggest that Anatomy Stu-
dio supports close-knit collaboration and group
discussion to gain deeper insights. 3D visualiza-
tion provides enhanced perceptual interaction
with Anatomy Studio using in-air gesture collab-
oration that shows real-time contour changes
made by others, thus facilitating communication.
The anatomical study includes a drawing table,
and the user is equipped with a tablet, a stylus,
and a transparent display mounted on the head.
Using a hand gesture, the user can build a 3D
virtual model on the MR (mixed reality) dissec-
tion table (Zorzal et al. 2019).
8 Visualization in Anatomy Education 181
Fig. 8.5 Description of
structure and outcome with
local coordination
(assembled 3DCG
animated model from 2D
illustrations)
8.3.2 Artificial
Intelligence/Humanoid Robots
Artificial intelligence (AI) refers to the capacity of
a computer/robot to perform human-like tasks
with respect to cognition (Russell and Norvig
2003). An intelligent system has the best chance
of achieving this goal, as it is aware of its sur-
roundings and can act appropriately. This was
aptly called as “AI,”to describe automated
computers that imitate human “cognitive”
activities like “learning”and “problem-solving.”
Our daily lives are surrounded and influenced by
a wide range of AI applications, including self-
driving cars to humanoid robots, human speech
comprehension applications (such as Siri and
Alexa), suggestion tools (such as Vimeo,
Facebook, and iTunes), sophisticated electronic
databases (such as Google), and suggestion tools
(Poole et al. 1998; Asghar et al. 2022). In recent
days, the use of Robots to perform different
surgeries is becoming popular. Humanoid robots
have recently been used as caregivers in many
hospitals to protect doctors and nurses from the
pandemic. Although many patient care services
can be handled by robotics, including screening,
disinfection, surgery, telehealth, and logistics,
their role in medical education and academia is
unclear (Shen et al. 2021; Asghar et al. 2022).
Exemplification and the capacity to integrate
social interaction into the learning environment
are fundamental qualities of educational robots
that guide in viable learning among students.
Significant progress has been made in the creation
of such a robot with a musculoskeletal system that
is comparable to that of a human. Aldebaran
Robotics created the autonomous, programmable
humanoid robot NAO for use in educational and
research settings to map humanoid movement
onto a reinforcement learning task (García and
Shafie2020; Asghar et al. 2022) These robots
are more beneficial than computer software or
other educational aids in many instructional
goals because they can mimic human responses
(Tuna and Tuna 2019). They are so well-
equipped with cutting-edge information and orig-
inal teaching methods. Humanoid robots can also
be trained to know exactly what each student
needs to know, which could help with customized
instruction. In light of the numerous possibilities
that humanoid robots can provide, we have
attempted to investigate their current use in edu-
cation, their potential roles and functions in the
instructional delivery of Anatomy, and the
challenges in this domain.
182 A. Patra et al.
The Role of a Robotic Assistant in the Era
of Virtual Anatomy
The conventional, century-old method of teach-
ing and learning anatomy is human cadaveric
dissection. If the organ is too small to dissect or
difficult to visualize, like the pituitary, prostate,
and adrenal glands, it is difficult for the anatomist
to reach it. While robotic dissection with
expanded vision has enabled the display of intri-
cate anatomical structures. According to Dal
Moro (2018), a robotic dissection is a team
approach that involves a robotic assistant at the
corpse and an anatomist at the console. With a
magnified three-dimensional (3D) view and more
advanced wrist-hand movements than human
assistance, a robotic assistant might, for instance,
handle delicate tissue. Using 3D eyeglasses, a 3D
view of the dissected can be seen as a byproduct
of robotic dissection and with the assistance of a
large 3D monitor (Zhang et al. 2019).
Additionally, during the dissection, the clinical
or surgical anatomy could be explained. As a
result, residents and medical students could
benefit greatly from robotic dissection as a teach-
ing tool. Hence robotic dissection could be an
effective education program that can be devel-
oped and tested. A computer-simulated environ-
ment is provided by virtual reality simulators to
enhance one’s ability to dissect. Computer
connections are necessary for both tactile dissec-
tion and virtual reality simulators; Consequently,
they will continue to grow simultaneously.
Students will undoubtedly be able to develop
their surgical skills right from the start of their
medical training if cadaveric dissection is
performed using surgical robots.
8.3.3 High Fidelity Simulation
High Fidelity Simulation uses sophisticated
mannequins in simulated patient environments.
It is also called a human patient simulator or
high-fidelity simulator. This method uses
computers to control full-body mannequins that
are programmed to provide realistic physiological
responses to student actions. Normally, these
mannequins can demonstrate physiological and
pathophysiological processes and respond to
interventions, making them very useful for teach-
ing complex phenomena and integrating multiple
dimensions of basic medical science into individ-
ual sessions. For example, mannequins can sleep
and wake up, breathe and talk, and are also capa-
ble of giving birth, bleeding, and vomiting. They
can be utilized to learn and manipulate almost all
significant vital and physiological signs such as
pulse, heart rate, EKG, and more. All these
features allowed students to better present
structures, functions, symptoms, and medical
skills (Lewis et al. 2012).
8.3.4 Immersion or Haptic
Technology
This technology refers to tactile-based feedback
technology, where the sense of touch is applied
by applying motion to the user’sfingertips. Vir-
tual Reality (VR), Augmented Reality (AR), as
well as other recent technologies provide a unique
scenario (Motaharifar et al. 2021). AR has a vari-
ety of approaches for teaching health
professionals of all ages. Students of different
levels can benefit from computer-generated
simulations. With Human–Computer Interface
(HCI), students can engage and experience virtual
environments. They differ in terms of fidelity,
immersion, and interactivity. Immersive high-
definition visual inputs create accurate digital
representations of the real anatomical structures
in virtual reality. Head-mounted displays
(VR headsets), motion sensors, controllers,
keyboards, and speech recognition software are
used to interact with the virtual world. In contrast,
AR superimposes computer-generated stimuli on
real-world environments/objects, such as
computer-generated anatomical structures
superimposed on a mannequin (Othmana and
Amiruddinb 2010). Alternate reality platforms
provide an alternate world where users can
engage with the story and influence it by making
choices. Participants interact with the virtual
environment using real-world technology in alter-
nate reality simulations, like interfacing with
patient data using electronic health record
simulations. Although the forms exist on an
overlapping continuum often characterized as
“mixed reality,”the degree of immersion in the
virtual environment distinguishes VR from AR
and alternate reality (Fig. 8.6).
8 Visualization in Anatomy Education 183
Fig. 8.6 Recent advances in visualization and its possible uses
8.4 Further Thoughts
and Recommendations
8.4.1 Merits and Demerits of Using
3D Visualizations
Undoubtedly, the visualization of anatomy and
related basic medical subjects could be improved
through strategic adjustments, media, and tech-
nology (Owolabi and Bekele 2021). The pan-
demic provided insight into the advantages and
disadvantages of these technologies and
innovations. The continued integration of tech-
nology into anatomy education is certainly neces-
sary to improve learning outcomes and address
the cognitive load related to the volume of anat-
omy education and training (Gaur et al. 2020).
Traditional teaching practice such as cadaver dis-
section is almost synonymous with teaching anat-
omy. However, if the lack of corpses continues, it
would be impractical to stop or continue teaching
anatomy with a limited number of cadavers.
Thus, technology remains a reliable way to ensure
that students do not suffer from deficiencies.
Therefore, judicious use of technology and crea-
tive adaptations is necessary to ensure the timely,
efficient and effective provision of anatomical
education despite the limitations that have devel-
oped during or even after the pandemic (Saverino
2020). For example, it is also evident in the
United Kingdom that such adjustments are being
made with evidence of success (Longhurst et al.
2020).
184 A. Patra et al.
8.4.2 Limitations
It is essential to note that despite the enormous
advantages presented by the adoption of technol-
ogy that has empowered constant realization,
there have been various constraints for the same.
These restrictions incorporate unfeasible visual
techniques, discriminatory access, cost viability,
and absence of preparation among anatomy
educators. The objective of all educational
innovation or technology is to develop learning
further, yet we have shown that adding dynamic
simulation affects the people who likely need
it most: students with somewhat poor spatial
capacity. Bodies provide real-time learning for
medical students, while virtual cadavers provide
a realistic visualization of 3D anatomical detail.
Post-mortem training or procedure imparts in
youthful personalities the qualities of empathy,
professionalism, ethics, and confidentiality.
Learning anatomy through virtual dissection is
unrealistic (Basavanna et al. 2022). Accordingly,
virtual modalities can be utilized as an adjunct to
envision the anatomy of complicated structures
(middle ear cavity or ethmoid cavity).
8.5 Concluding
Statements/Take-Home
Message
Anatomy education and teaching medicine as a
profession was never designed to be fully virtual.
However, the use of technology-based online
pedagogies (3D learning management system,
anatomy studio, virtual classroom, medical
simulations, virtual cadavers, 3D stereoscopy,
etc.) has been proven to play a pivotal role in
the successful completion of the Anatomy curric-
ulum. As discussed, there are a plethora of
technologies that aid in learning anatomy.
Policymakers need to think critically about how
to amalgamate medical informatics and conven-
tional pedagogical approach to timely reform
anatomy education. Interactive 3D visualization
technologies have undoubtedly made the subject
of Anatomy extremely visual. Consequently,
anatomy, conventionally a teacher-centric sub-
ject, is gradually becoming learner-centric with
the use of readily available online pedagogies,
and rightly so. There is no harm in using readily
available study materials available online, but the
content available should not be trusted blindly but
rather be cross-checked; this is the role of con-
ventional textbooks and teachers. Last but not the
least, we should always remember that the finest
way to teach and learn modern Anatomy is by
blending conventional pedagogy with multi-
modal system-based approaches to complement
one another.
References
Abou Hashem Y, Dayal M, Savanah S (2015) The appli-
cation of 3D printing in anatomy education. Med Educ
Online 20(1):29847
Asghar A, Patra A, Ravi KS (2022) The potential scope of
a humanoid robot in anatomy education: a review of a
unique proposal. Surg Radiol Anat 44:1309–1317.
https://doi.org/10.1007/s00276-022-03020-8
Bajka M, Manestar M, Hug J, Székely G, Haller U,
Groscurth P (2004) Detailed anatomy of the abdomen
and pelvis of the visible human female. Clin Anat: Off
J Am Assoc Clin Anat Br Assoc Clin Anat 17(3):252–
260
Basavanna PN, Ravishankar MV, Arora D (2022) Anat-
omy lives in the dissection hall: post-Covid-19 percep-
tion of students. Anat Sci Educ 15(1):83–85
Battulga B, Konishi T, Tamura Y, Moriguchi H (2012)
The effectiveness of an interactive 3-dimensional com-
puter graphics model for medical education. Interact J
Med Res 1(2):e2
Bernard F, Richard P, Kahn A, Fournier HD (2020) Does
3D stereoscopy support anatomical education? Surg
Radiol Anat 42(7):843–852
Bhagat A, Vyas R, Singh T (2015) Students’awareness of
learning styles and their perceptions to a mixed method
approach for learning. Int J Appl Basic Med Res 5
(Suppl 1):S58–S65
Brazina D, Fojtik R, Rombova Z (2014) 3D visualization
in teaching anatomy. Procedia Soc Behav Sci 143:
367–371
Butean VA, Moldoveanu A, Ovreiu E, Morar A, Egner A
(2014) An online cloud based Mobile enabled 3D
human body E-learning solution. In The 10th interna-
tional scientific conference eLearning and software for
education, Bucharest
Cottam WW (1999) Adequacy of medical school gross
anatomy education as perceived by certain postgradu-
ate residency programs and anatomy course directors.
Clin Anat 12(1):55–65
8 Visualization in Anatomy Education 185
Dal Moro F (2018) How robotic surgery is changing our
understanding of anatomy. Arab J Urol 16:297–301
Dev P, Montgomery K, Senger S, Leroy Heinrichs W,
Srivastava S, Waldron K (2002) Simulated medical
learning environments on the internet. J Am Med Inf
Assoc 9:437–447
Drake RL, McBride JM, Lachman N, Pawlina W (2009)
Medical education in the anatomical sciences: the
winds of change continue to blow. Anat Sci Educ
2(6):253–259
García J, Shafie D (2020) Teaching a humanoid robot to
walk faster through safe reinforcement learning. Eng
Appl Artif Intell 88:103–160
García MJ, Dankloff MC, Aguado HS (2018) Possibilities
for the use of anatomage (the anatomical real body-size
table) for teaching and learning anatomy with the
students. Biomed J Sci Tech Res 4(4):94
Garg AX, Norman G, Sperotable L (2001) How medical
students learn spatial anatomy. Lancet 357(9253):
363–364
Gaur U, Majumder MAA, Sa B, Sarkar S, Williams A,
Singh K (2020) Challenges and opportunities of pre-
clinical medical education: COVID-19 crisis and
beyond. SN Compr Clin Med 2020(2):1992–1997
Gopalakrishnakone P, Jianfeng L, Sun GP, Abeykoon
Fernando AON, Cheok ADA (2010) Multimodal vir-
tual anatomy learning tool for medical education. In:
Entertainment for education, digital techniques and
systems LNCS 6249. Springer, Berlin, pp 278–287
Guillot A, Champely S, Batier C, Thiriet P, Collet C
(2007) Relationship between spatial abilities, mental
rotation and functional anatomy learning. Adv Health
Sci Educ 12:491–507
Guven T, Geraci C, Green J (2020) Learning through
osmosis: a global Wikipedia editing course for medical
students. MedEdPublish 9(1):109
Guze PA (2015) Using technology to meet the challenges
of medical education. Trans Am Clin Climatol Assoc
126:260–270
Hall E (2016) The tenacity of learning styles: a response to
Lodge, Hansen, and Cottrell. Learn Res Pract 2:18–26
Haynes MR, Gaglani SM, Wilcox MV, Mitchell T,
DeLeon V, Goldberg H (2014) Learning through
osmosis: a collaborative platform for medical educa-
tion. Innov Global Med Health Educ 2014(1):2
Hew KF, Lo CK (2018) Flipped classroom improves stu-
dent learning in health professions education: a meta-
analysis. BMC Med Educ 18(1):38
Holliman N (2005) 3D display systems. The handbook of
optoelectronics. Institute of Physics Press, London
Huk T (2006) Who benefits from learning with 3D
models? The case of spatial ability. J Comput Assist
Learn 22:392–404
Hurtubise L, Hall E, Sheridan L, Han H (2015) The flipped
classroom in medical education: engaging students to
build competency. J Med Educ Curricular Dev 2:35–
43
Jacquesson T, Simon E, Dauleac C, Margueron L,
Robinson P, Mertens P (2020) Stereoscopic three-
dimensional visualization: interest for neuroanatomy
teaching in medical school. Surg Radiol Anat
42:719–727. https://doi.org/10.1007/s00276-020-
02442-6
Jasani SK, Saks NS (2013) Utilizing visual art to enhance
the clinical observation skills of medical students. Med
Teach 35:e1327–e1331
Keenan ID, Ben Awadh A (2019) Integrating 3D
visualisation technologies in undergraduate anatomy
education. Adv Exp Med Biol 1120:39–53
Kerby J, Shukur ZN, Shalhoub J (2011) The relationships
between learning outcomes and methods of teaching
anatomy as perceived by medical students. Clin Anat
24(4):489–497
Kluge S, Riley L (2008) Teaching in virtual worlds:
opportunities and challenges. IISIT 5:127–135
Kobayashi M, Nakajima T, Mori A, Tanaka D, Fujino T,
Chiyokura H (2006) Three-dimensional computer
graphics for surgical procedure learning: web three-
dimensional application for cleft lip repair. Cleft Palate
Craniofac J 43(3):266–271
Kong X, Nie L, Zhang H, Wang Z, Ye Q, Tang L, Li J,
Huang W (2016) Do three-dimensional visualization
and three-dimensional printing improve hepatic seg-
ment anatomy teaching? A randomized controlled
study. J Surg Educ 73(2):264–269
Le TT, Prober CG (2018) A proposal for a shared medical
school curricular ecosystem. Acad Med 2018(93):
1125–1128
Levinson AJ, Weaver B, Garside S, McGinn H, Norman
GR (2007) Virtual reality and brain anatomy: a
randomised trial of e-learning instructional designs.
Med Educ 41(5):495–501
Lewis R, Strachan A, Smith MM (2012) Is high fidelity
simulation the most effective method for the develop-
ment of non-technical skills in nursing? A review of
the current evidence. Open Nurs J 6:82–89
Longhurst GJ, Stone DM, Dulohery K, Scully D,
Campbell T, Smith CF (2020) Strength, weakness,
opportunity, threat (SWOT) analysis of the adaptations
to anatomical education in the United Kingdom and
Republic of Ireland in response to the Covid-19 pan-
demic. Anat Sci Educ 13(3):301–311
Mavrych V (2016) Modern trends in clinical anatomy
teaching. MOJ Anat Physiol 2(1):20–21
Mayer RE (2009) Multimedia learning, 2nd edn.
Cambridge University Press, Cambridge
McLachlan JC, Patten D (2006) Anatomy teaching: ghosts
of the past, present and future. Med Educ 40(3):
243–253
McLachlan JC, Bligh J, Bradley P, Searle J (2004) Teach-
ing anatomy without cadavers. Med Educ 38(4):
418–424
Motaharifar M, Norouzzadeh A, Abdi P, Iranfar A, LotfiF,
Moshiri B, Lashay A, Mohammadi SF, Taghirad HD
(2021) Applications of haptic technology, virtual real-
ity, and artificial intelligence in medical training during
the COVID-19 pandemic. Front Robot AI 8:612949
186 A. Patra et al.
Mozaffari HR, Janatolmakan M, SharifiR, Ghandinejad F,
Andayeshgar B, Khatony A (2020) The relationship
between the VARK learning styles and academic
achievement in dental students. Adv Med Educ Pract
11:15–19
Othmana N, Amiruddinb MH (2010) International confer-
ence on learner diversity different perspectives of
learning styles from VARK model. Procedia Soc
Behav Sci 7(C):652–660
Owolabi J, Bekele A (2021) Implementation of innovative
educational technologies in teaching of anatomy and
basic medical sciences during the COVID-19 pan-
demic in a developing country: the COVID-19 silver
lining? Adv Med Educ Pract 12:619–625
Patra A, Asghar A, Chaudhary P, Ravi KS (2022) Integra-
tion of innovative educational technologies in anatomy
teaching: new normal in anatomy education. Surg
Radiol Anat 44(1):25–32
Poole DL, Mackworth AK, Goebel R (1998) Computa-
tional intelligence: a logical approach. Oxford Univer-
sity Press, New York, p 558
Ravi KS (2020) Dead body management in times of
Covid-19 and its potential impact on the availability
of cadavers for medical education in India. Anat Sci
Educ 13(3):316–317
Ruiz JG, Cook DA, Levinson AJ (2009) Computer
animations in medical education: a critical literature
review. Med Educ 43:838–846
Russell SJ, Norvig P (2003) Artificial intelligence: a mod-
ern approach, 2nd edn. Prentice Hall, Upper Saddle
River, NJ, p 1080
Saverino D (2020) Teaching anatomy at the time of
COVID-19. Clin Anat 23616
Sharma A, Kumar A (2021) Evolving trends in anatomy: a
global perspective. Indian J Clin Anat Physiol 8(3):
159–161
Shen Y, Guo D, Long F et al (2021) Robots under
COVID-19 pandemic: a comprehensive survey. IEEE
Access 9:1590–1615
Silén C, Wirell S, Kvist J, Nylander E, Smedby O (2008)
Advanced 3D visualization in student-centred medical
education. Med Teach 30(5):e115–e124
Tuna A, Tuna G (2019) The use of humanoid robots with
multilingual interaction skills in teaching a foreign
language: opportunities, research challenges and future
research directions. CEPS J 9:95–115
Webb AL, Choi S (2013) Interactive radiological anatomy
eLearning solution for first year medical students:
development, integration, and impact on learning.
Anat Sci Educ 7(5):350–360. https://doi.org/10.1002/
ase.1428
Yasar O, Adiguzel T (2010) A working successor of
learning management systems: SLOODLE. Procedia
Soc Behav Sci 2(2):5682–5685
Ye Z, Dun A, Jiang H (2020) The role of 3D printed
models in the teaching of human anatomy: a systematic
review and meta-analysis. BMC Med Educ 20:335
Zhang X, Yang J, Chen N et al (2019) Modeling and
simulation of an anatomy teaching system. Vis
Comput Ind Biomed Art 2:8
Zorzal E, Sousa M, Mendes D, Anjos R, Medeiros D,
Paulo SF et al (2019) Anatomy studio: a tool for virtual
dissection through augmented 3D reconstruction.
Comput Graph 85:74–84
Visualizing Anatomy in Dental
Morphology Education 9
Tamara Vagg, Andre Toulouse, Conor O’Mahony,
and Mutahira Lone
Abstract
Tooth morphology is a foundation course for
all dental healthcare students including
dentists, dental hygiene, dental therapy, and
dental nursing students. This chapter explores
the conventional and innovative teaching
methods to deliver tooth morphology educa-
tional modules. The teaching tools are
explored with a 2D and 3D lens, with a partic-
ular focus on visualization, student under-
standing, and engagement. Traditional
methods of teaching tooth morphology must
be complemented with innovative pedagogical
approaches in order to maintain student’s
attention and accommodate their diverse
learning methods. Teaching 3D anatomy
enables students to visualize and spatially
comprehend the link between various
anatomical components. Online tests and quiz-
zes motivate students and are also beneficial in
preparing students for exams. Online self-
examinations offering visualization with 3D
teeth enable students to evaluate their knowl-
edge and offers immediate feedback, which
aids in the long-term retention of information.
These tools can be as efficient as other teach-
ing methods, allowing the students to study at
their own pace and with repetition. The
authors conclude that blended and innovative
teaching methods should supplement student
learning and not replace, traditional face-to-
face educational methods.
T. Vagg
Cork Adult CF Centre, Cork University Hospital,
University College Cork, Wilton, Cork, Republic of
Ireland
School of Computer Science and Information Technology,
University College Cork, Cork, Republic of Ireland
HRB Clinical Research Facility Cork, University College
Cork, Cork, Republic of Ireland
e-mail: tamara.vagg@ucc.ie
A. Toulouse · C. O’Mahony · M. Lone (✉)
Department of Anatomy and Neuroscience, University
College Cork, Cork, Republic of Ireland
e-mail: A.Toulouse@ucc.ie;conoromahony@ucc.ie;m.
lone@ucc.ie
#The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
E. Abdel Meguid et al. (eds.), Biomedical Visualisation, Advances in Experimental Medicine and
Biology 1406, https://doi.org/10.1007/978-3-031-26462-7_9
187
Keywords
Digital teaching · Digital divide · Tooth
morphology · Dental anatomy · 3D
9.1 Background
Anatomy is a core module that provides a strong
foundation in all healthcare programs including
the undergraduate and postgraduate dental curric-
ulum (Sugand et al. 2010; Abdalla 2020;
McHanwell and Matthan 2020). Prior to patient
examination, diagnosis, and clinical treatment, a
thorough grasp of anatomy is required (Abdel
Meguid et al. 2017; McHanwell and Matthan
2020; Reddy and Pathak 2021; Fonseca et al.
2022). Vesalius’traditional method of
s
teaching anatomy via dissection has evolved with
an emphasis on didactic lectures but now also
includes digital education, e-learning, and a
broad variety of 3D models (Nagasawa et al.
2010; Salajan et al. 2015; Lone et al. 2018)a
the current generation of students are increasingly
using devices like computers/laptops and cell
phones for their academic needs (Khatoon et al.
2014). Additionally, visualization has been found
to be particularly vital for student comprehension
as well as the development of psychomotor
abilities, which are particularly important for a
dental student (Fonseca et al. 2022).
188 T. Vagg et al.
The term “dental student”has evolved over
time to include not just those pursuing a dental
science degree (bachelor’s or doctorate,
depending on the region), but also those pursuing
degrees in dental hygiene, dental therapy, or den-
tal nursing (Bakr et al. 2016; McHanwell and
Matthan 2020). As they begin their respective
degree, these students will treat patients by
performing oral examinations, dental scaling,
restorations, and small surgeries; thus, in order
to promote safe clinical practice, anatomical
knowledge is a crucial part of their early training
(McHanwell and Matthan 2020). General gross
anatomy, embryology, neuroanatomy, histology,
and oral anatomy (including tooth morphology)
are among the anatomical topics that are typically
covered in the first 2 years of a dental study
program (McHanwell et al. 2007; Gould et al.
2014; McHanwell and Matthan 2020; Chow and
Sharmin 2021), with a core anatomy curriculum
published by the Association for Dental Educa-
tion in Europe (ADEE) (ADEE 2016; Best et al.
2016). Dental students need to cover certain
anatomical topics in more detail than other
healthcare students including the anatomical
structures of the oral cavity, major and minor
salivary glands, maxilla, mandible, nerve supply
to the teeth, floor of the oral cavity, and the
lymphatic drainage of the head and neck to
name a few (Guttmann et al. 2003; ADEE
2016). There is a shortage of qualified dental
anatomy staff available to teach anatomy to dental
students, especially those who can emphasize the
dental relevance of the anatomical structures
(McHanwell 2015). Furthermore, horizontal and
vertical integration of anatomy into the dental
curriculum is recommended, which is extremely
relevant in the clinical years (Manogue et al.
2011; McHanwell and Matthan 2020).
Courses in dental anatomy are normally taught
as either separate modules or as an integrated
anatomy module (Guttmann et al. 2003).
Co-teaching, in which students of different dental
specialties learn alongside one another, is another
strategy that has been proposed as a means of
enhancing students’capacities in the areas of
communication and teamwork in preparation for
the students’future roles as members of the dental
care team (Bakr et al. 2016; Amin et al. 2017;
McHanwell and Matthan 2020).
In the following sections of this chapter, the
conventional and innovative teaching tools used
for tooth morphology will be discussed with a
focus on instructional tools employed with visu-
alization at its core.
9.2 Tooth Morphology
Tooth morphology is the study of the morpholog-
ical features of the permanent and deciduous
dentitions (Obrez et al. 2011). Dental students
including dental hygienists, dental nurses, and
dental technicians must be familiar with tooth
morphology including the visualization and
understanding the 3D aspects of different teeth
for clinical and lab work (Obrez et al. 2011; Abu
Eid et al. 2013; Bakr et al. 2016; Risnes et al.
2019). The tooth morphology module is usually
delivered in the first 2 years of the dental degree
(Lone et al. 2018) with its application in the
subsequent years. This often leads to a loss of
knowledge called “decontextualized technique
learning”(Magne 2015). The teaching of tooth
morphology has always been an important but
difficult aspect (Wang et al. 2020) with various
teaching aids available to assist student learning
and understanding. Tooth anatomy and identifica-
tion is not only important for the clinical treat-
ment and restoration of teeth but also for the
identification of dental anomalies, dental
variations, and pathologies commonly seen in
clinical practice (Bakr et al. 2016). In the next
section, the authors will discuss the visualization
offered by conventional (2D and 3D) methods for
teaching tooth morphology.
9 Visualizing Anatomy in Dental Morphology Education 189
Fig. 9.1 Timeline showing the 5-year curriculum at University College Cork (UCC). Tooth morphology is taught in
years 1 and 2 with vertical integration needed in the following years (years 3–5)
9.3 Conventional Methods
of Teaching Tooth Morphology
Which Offer Visualization
Modalities used for teaching tooth morphology
include a variety of approaches, such as lectures
supplemented with prosected material,
anatomical models, and extracted teeth (Lone
et al. 2018) (Fig. 9.1). As this chapter focuses
on visualization offered by each teaching method,
the teaching modalities are further subdivided
into 2D and 3D teaching methods.
9.4 2D Teaching Methods
9.4.1 Lectures
Didactic lectures utilizing PowerPoint (Shigli
et al. 2016) are often the preferred medium for
teaching dental anatomy (Johnson et al. 2012;
Schonwetter et al. 2016; Lone et al. 2018). Dental
anatomy is a topic that easily lends itself to being
taught in this style since it is so readily supported
by visual media. Furthermore, viewing multiple
two-dimensional representations of the same
structure may help to create a 3D mental image.
Anatomy didactic lectures can be supplemented
with other teaching modalities to offer multiple
entry points and provide multimodal and holistic
teaching, as will be discussed in the following
section; however, when used on its own, this
mode of instruction can assist students in devel-
oping mental images of the structures.
During the recent pandemic, online lectures
and webinars substituted the didactic lecture con-
tent in dental schools globally (Goodacre et al.
2021; Lone et al. 2021). As we return back to
face-to-face teaching, the lecture
recordings would be a helpful student resouce as
a review tool to explain certain points for visual
learners as well as for auditory learners.
According to Bacro et al. (2013), there is substan-
tial association between grades for students with a
preference for auditory learning and frequent
viewings of lecture recordings. The authors
hypothesize that auditory learners would
greatly benefit from having access to recorded
lectures (Bacro et al. 2013).
190 T. Vagg et al.
9.4.2 Flash Cards
Flash cards offer a 2D representation of tooth
anatomy which aids visualization and allows for
multiple viewings according to user suitability.
These flash cards are readily available in
textbooks (Nelson 2014; Wignall 2014;
Fehrenbach 2015), provide a detailed description
of the features of the teeth, promote student
learning, and facilitate a transfer of knowledge
from 2D to 3D (Bryson 2012). Flash cards can
also be offered to dental students as case-based
studies in the clinical years (Al-Rawi et al. 2015;
McAndrew et al. 2016; Toyohiro et al. 2021).
9.5 3D Teaching Methods
9.5.1 Dissection- and
Prosection-Based Teaching
An ongoing debate exists about whether dissec-
tion or prosection-based practical sessions are the
superior approaches for teaching anatomy. Both
dissection sessions and prosections give visual
cues and aid dental students in gaining a better
understanding of the head and neck region, par-
ticularly the teeth in occlusion and their relation-
ship to the surrounding anatomical structures in
the oral cavity. Prosection-based instruction is
often favored by students themselves (Abdel
Meguid et al. 2017). Snelling et al. (2003)
conducted a poll of dental students and the
students rated tutorials, prosections, and
textbooks as excellent anatomy learning tools
(Snelling et al. 2003).
Redwood and Townsend (2011) state that den-
tal students’interest in pursuing a dental surgical
career may explain why they choose prosection
over dissection as the preferred learning method.
Regardless of the reasons stated above,
prosections and dissection sessions should remain
a core teaching component of the dental curricu-
lum since it aids student development into
clinicians, with the cadaver as their first teaching
patient, and also provides 3D understanding and
visualization of the anatomical relationship of the
teeth and other anatomical structures in the oral
cavity (Redwood and Townsend 2011).
9.5.2 Anatomical Models
Teaching tooth morphology commonly employs
the use of plastic or resin-based anatomical
models (Lone et al. 2018). The models are easily
available, convenient to use and store and have a
long shelf life (Abu Eid et al. 2013). Students,
themselves, appreciate the 3D teaching offered by
plastic models and use it routinely to supplement
their learning (Abu Eid et al. 2013; Abdel Meguid
et al. 2017).
Tooth morphology taught with the use of high-
quality commercial replicas with color-coding or
numbering of certain tooth characteristics has
visually emphasized the differentiation of tooth
characteristics, further aiding student understand-
ing (Abu Eid et al. 2013). However, one disad-
vantage is that all the plastic teeth are identical
and do not show normal anatomical variations or
anomalies (Obrez et al. 2011).
9.5.3 Extracted/Plastic Teeth
Historically, extracted teeth are the most popular
teaching aid for studying dental morphology and
identifying tooth characteristics (Mitov et al.
2010). According to research by Abu Eid et al.
(2013), students prefer to study dental morphol-
ogy using extracted teeth (Abu Eid et al. 2013).
However, there are various drawbacks for teach-
ing with extracted teeth including obtaining a
sufficient number of hygienic and healthy,
non-carious, unworn extracted teeth with ethical
and informed consent (Cantín et al. 2015).
In most countries, improvements in oral health
care have led to a decline in the number of tooth
extractions (Muller et al. 2007; Dietrich et al.
2015), posing a further challenge for the procure-
ment of healthy extracted teeth for educational
purposes (Obrez et al. 2011). Innovative teaching
methods are currently being incorporated into the
teaching of tooth morphology (Nagasawa et al.
n
m
a
2010; Cantín et al. 2015; Lone et al. 2021)i
order to provide visualization and 3D comprehen-
sion of the dental morphological anatomy (Mitov
et al. 2010; Allen et al. 2015). However, extracted
teeth are still preferred for learning tooth mor-
phology and also for examinations (Suh et al.
2022).
9 Visualizing Anatomy in Dental Morphology Education 191
9.5.4 Carving Teeth
Carving tooth models from various media, such
as wax, chalk, or soap (Mitov et al. 2010; Lone
et al. 2018), has helped facilitate the learning of
comprehensive dental morphology (Obrez et al.
2011). This method utilizes visualization and
haptic touch to provide the development of fine
motor skills along with morphological knowl-
edge, which is a prerequisite for reconstructing
lost or damaged tooth structure during various
dental treatments (Abu Eid et al. 2013;La
et al. 2015; Goodacre et al. 2021). A study
done in 2013 introduced wax tooth carving
practical sessions for first-year graduate
dentistry students with more than 80% of the
students claiming that the carving assignments
improved their manual dexterity along with
their understanding and ability to visualize
the 3D architecture of the teeth (Abu Eid et al.
2013).
More recently, Abdalla (2020) supplemented
dental carving exercises with clinical-based
teaching and also digital learning to improve stu-
dent satisfaction and student performance.
Introducing clinical scenarios allowed students
to see the relevance and application of tooth anat-
omy in their clinical practice and careers. The
digital teaching introduced for the tooth morphol-
ogy module linked directly to the digital software
used in dental practices and hence allowed the
dental students to link their pre-clinical haptic
exercises to digital uses and clinical applications
(Abdalla 2020). At-home waxing exercises
(Goodacre et al. 2021) and 3D tooth models
(Lone et al. 2021) were also found to be effective
for teaching students the didactic aspects of vari-
ous teeth during the recent COVID-19 pandemic.
However, the students expressed an interest in
returning to campus for these tooth morphology
modules.
There appears to be a debate about the benefits
of dental carving exercises and whether they
should be retained or introduced/reintroduced in
the tooth morphology module (Conte et al. 2021).
Goodacre et al. (2021) favors the carving sessions
for the students as it not only enhances
their detailed tooth morphology knowledge but
also introduces 3D spatial understanding of the
tooth along with detailed hand manipulation of
dental instruments, which will all be relevant
skills needed in the dental care of the patients
(Goodacre et al. 2021).
While the sections above discuss the various
teaching methods, self-assessment with mock
quizzes or spots can also be used to enhance
student learning and motivate them. The next
section discusses how this has been implemented
for tooth morphology teaching.
9.5.5 Formative “Spotter”
Examination
Self-assessment tools have been found to enhance
student learning with better results and motiva-
tion (Lone et al. 2019). Tooth morphology,
computer-based learning program for tooth mor-
phology showed promising results with improved
student learning (Bogacki et al. 2004). The major-
ity of dental schools evaluate tooth morphology
formally as part of an objective structured practi-
cal examination or formative spot examination
which consists of stations where students are
asked to identify extracted or plastic teeth and
chart them in an appropriate notation system and
answer a clinically or developmentally related
question (Abu Eid et al. 2013; Lone et al. 2019).
9.5.6 Innovative Visual Methods
for Teaching Tooth Morphology
to Dental Students
Dental students require detailed knowledge of the
morphology of the permanent and deciduous
teeth. Technology has been used successfully in
pre-clinical and clinical dental teaching (Suh et al.
2022). The challenge for educators is to provide a
framework so that students are offered a learning
environment that includes all different types
of learners. Providing the students the opportu-
nity to learn both online and in-person, gives all
the learners a chance to get a better understanding
of the best way for them to learn. In the last few
years changes in the anatomy curriculum along
with the recent COVID-19 pandemic (Drake and
Pawlina 2014; McBride and Drake 2018;
Longhurst et al. 2020; Dulohery et al. 2021)
resulted in reduced course hours for anatomy.
This led to an increase in the use of adjunctive
tools and self-directed learning which have been
demonstrated to be efficient as teaching resources
while also being easily accessible for students
(Tam et al. 2009; Yeung et al. 2011; Goodacre
et al. 2021; Lone et al. 2021). Medical students
are routinely utilizing newly created and tested
instructional strategies (Rizzolo and Stewart
2006; Johnson et al. 2012) which have also been
incorporated into the dental curriculum (Maggio
et al. 2012). In addition to this, a survey
conducted by Lone et al. (2018) investigating
the tooth morphology teaching methods
employed within the United Kingdom and
Ireland, found that minimum time is dedicated
to the delivery of tooth morphology resulting in
a greater emphasis on students’self-directed
learning. The authors also conclude that Com-
puter Aided Learning (CAL) systems and tools
could assist in acquiring and sustaining tooth
morphology learning (Lone et al. 2018). Further-
more, since dental students use the latest elec-
tronic learning devices, these CAL systems and
online tools for self-directed dental education are
easily accessible (Redwood and Townsend
2011). Indeed, a study conducted at the School
of Dentistry, University of Birmingham found
that dental students preferred devices like laptops
and smartphones for studying and self-testing
their knowledge (Khatoon et al. 2014). What
follows is a review of the current literature,
exploring the use of innovative tools offering
visualization to teach tooth morphology to dental
students.
192 T. Vagg et al.
9.5.7 Animations and Multimedia
Learning Resources
The use of graphics and visual information
enhances understanding, retention, and recall of
a theory or notion (Tversky et al. 2002). Teaching
modalities using both static images (such as
pictures and diagrams) and dynamic images
(such as videos and animations) are essential in
stimulating and creating an enhanced environ-
ment for teaching and learning (Wilson 2015).
Animations serve two functions in an educational
context: affective and cognitive. The affective
component of an animation keeps the viewers’
attention, while also working as a motivational
tool. On the other hand, the cognitive component
of animation is associated with comprehension
(Lowe 2004). Regardless of the results obtained,
students have expressed enthusiasm toward the
use of technology-based courses or modules
within the curriculum (Kesner and Linzey 2005;
Vuchkova et al. 2012).
Animation and various multimedia learning
tools have been developed for dental students to
teach topics like cranial nerves (Richardson-
Hatcher et al. 2014; Lone et al. 2017) (Fig. 9.2),
temporomandibular joint and dental anesthesia
(Guttmann 2000) and the 3D morphology of the
teeth (Lone et al. 2019). According to Mitov et al.
(2010), their 3D animated tooth software proved
effective and enjoyable for learning tooth mor-
phology (Mitov et al. 2010).
Bogacki et al. (2004) conducted a randomized
controlled trial assessing the efficacy of “Tooth
Morphology,”an interactive CAL course with
lectures containing text, illustrations and 3D
graphics, against traditional lectures for teaching
tooth morphology (Bogacki et al. 2004). For a
cohort of first-year dental students at Virginia
Commonwealth University, the results found
that “Tooth Morphology”was statistically equal
to traditional teaching lectures. These discoveries
have resulted in the substitution of conventional
lectures with a mix of “Tooth Morphology”and
interactive classroom discussions since this new
format was deemed to be more interactive and
gave students active control over the time and
pace of their learning. It also increased chances
for teachers to connect with the students, provide
assistance and emphasize the clinical importance
of tooth morphology (Bogacki et al. 2004).
9 Visualizing Anatomy in Dental Morphology Education 193
Fig. 9.2 Screenshot of the cranial nerve animation showing the 12 pairs of cranial nerves with individual functions.
Sensory supply is demonstrated in green whereas motor supply is shown in orange
Students’use of a DVD-based interactive
tooth atlas was studied by Wright and Hendricson
(2010). The atlas included photographic, radio-
graphic, and CT scan images of all the teeth and
was offered to the dental students in the first three
years of their degrees at the University of Texas
Health Center, San Antonio. Before performing
surgical procedures like periapical and implant
surgeries these atlases could be reviewed to ana-
lyze the anatomy of various teeth and their rela-
tionship to the surrounding hard and soft tissues.
Only 14% of dental students downloaded the
atlas. However, once students were informed
that atlas-based questions would be featured on
the exam the uptake of the atlas increased to 43%
of students (Wright and Hendricson 2010). In
addition, the authors of the study determined
that the atlas was mostly used by third-year dental
students, presumably because they were involved
with the clinical rotations and could comprehend
the clinical significance of the anatomical infor-
mation available in the resource (Wright and
Hendricson 2010).
194 T. Vagg et al.
In the aforementioned examples, the
animations and multimedia learning resources
were limited in terms of their interaction
capabilities and accessibility to students, which
is reflective of Information Communication
Technologies (ICT) for that time. However,
since then, innovative visualization methods
have continued to advance, with the emergence
of a new cycle of interactive 3D programs capable
of virtual/augmented/mixed realities and even
delivery through web platforms. The proceeding
sub-sections will explore how these innovations
have been utilized for dental/tooth morphology.
9.5.8 3D Models, 3D Animations
and Interactive 3D
There are numerous benefits for employing novel
teaching tools, such as simultaneous visualization
of material by multiple students and the applica-
tion of teaching and clinical training concurrently
(Nagasawa et al. 2010). Continuous
improvements in technology over the years have
led to the development of 3D teaching tools for
dental students such as interactive 3D tooth
(de Boer et al. 2015) or 3D tooth atlases (Salajan
and Mount 2008; Nagasawa et al. 2010; Wright
and Hendricson 2010; Salajan et al. 2015; Suh
et al. 2022), including the development of an tooth
atlas using micro CT scanning (Nagasawa et al.
2010; Cantín et al. 2015; Koopaie and Kolahdouz
2016), and 3D visualization of the internal tooth
structure (Salajan et al. 2015). Atlases have been
provided to students via CD/DVD (Wright and
Hendricson 2010) or more recently, via
web-based or online delivery (Salajan et al.
2015). Also, the use of other 3D delivery
solutions/software such as Computer-Aided
Design (CAD) and Computer-Aided
Manufacturing (CAM) technology aided student
performance in wax-up and restoration of teeth
(Douglas et al. 2014). Furthermore, tooth
morphology may be taught in a safe and cost-
effective manner using 3D scanning of extracted
teeth (Elgreatly and Mahrous 2020).
Mitov et al. (2010) introduced a 3D tool via
web-based CAL software “MorphoDent”to den-
tal students in their second year of study at the
University of Saarland in Homburg, Germany.
Scanners were utilized to build 3D models of
extracted teeth which were previously used for
the teaching tooth morphology. Students were
provided with the teaching tool two weeks before
examination in order to evaluate their perception
about the efficacy of the 3D teaching tool. 3D
tooth models were also examined, in addition to
the standard examination using extracted teeth.
Data gathered shows that while students liked
learning with MorphoDent, no significant statisti-
cal difference was seen between the outcome of
the two examination scores (Mitov et al. 2010).
However, Lone et al. (2018) developed an inter-
active 3D tooth morphology quiz and evaluated
its effects on dental education via a cross-over
study designed to compare the novel system
with traditional teaching methods. Students who
used the 3D tooth morphology quiz felt the sys-
tem was intuitive and aided in their understanding
of tooth morphology. The results of the study
found that student groups with access to the 3D
tooth morphology quiz performed significantly
better than previous years. The authors conclude
that the 3D tooth morphology quiz is a useful
adjunct for dental anatomical education (Lone
et al. 2019) (Fig. 9.3).
Magne (2015) revised and implemented a sig-
nificant update of the dental morphology and
occlusion module at Herman Ostrow School of
Dentistry in the University of Southern California
by introducing 2D, 3D, and 4D principles for
learning essential practical and clinical skills.
Initially, his method focused on 2D tooth
drawings, proceeded by partial or full 3D
wax-ups of teeth. 4D was utilized by layering
acrylic and resin restorations simulating the dif-
ferent layers of the internal structure of the tooth,
namely enamel, and dentine. Increased student
engagement along with staff satisfaction was
reported with the modified program (Magne
2015).
9 Visualizing Anatomy in Dental Morphology Education 195
Fig. 9.3 Tooth morphology quiz (TMQ). (a) Active quiz
screen showing Fédération Dentaire Internationale (FDI)
notation placements of the teeth along with a 3D rotating
image of selected tooth. (b) Results of the TMQ with
feedback screen. Selecting an incorrect answer will high-
light it in yellow with relevant feedback on identification
features provided
Extracted teeth, as discussed before, are rou-
tinely used for studying the morphology of the
teeth. Game-based learning and gamification has
also been applied for the teaching of tooth
morphology using extracted teeth, with results
showing it to be cost-effective, student-friendly,
and providing 3D understanding for all
the learners (Risnes et al. 2019).
196 T. Vagg et al.
As part of a dental anatomy module redesign at
the University of Kentucky College of Dentistry,
Abdalla (2020) incorporated a 3D dental software
program (“Tooth Explorer”), designed to teach
oral anatomy and tooth morphology. The soft-
ware was employed during lectures on a second
screen where a 3D view of the tooth was
displayed, illustrating anatomical landmarks and
unique features. The authors report that the
redesigned module as a whole, including the use
of “Tooth Explorer”3D visualization, was highly
appreciated and rated by students (Abdalla 2020).
9.5.9 Virtual and Augmented Reality
Digital applications are widely used in all areas of
dental education (Roy et al. 2017; Murbay et al.
2020). In addition to 3D, computer simulations
are showing promising results. Virtual Reality
(VR) is defined as a computer-generated recrea-
tion of a world or scenario where the user
experiences the virtual world personally via sim-
ulation in real time (Joda et al. 2019).
Augmented Reality (AR) on the other hand is
defined as a system that superimposes virtual
objects onto the physical world (Bölek et al.
2021). In a recent review published by Zitzmann
et al. exploring digital technology in dentistry
education, the authors conclude that VR and AR
will play a dominant role in dental education in
the future (Zitzmann et al. 2020). An example of
VR being used for dental morphology education
is presented by Liebermann et al. who developed
an interactive VR teaching environment that
utilizes a HTC Vive Pro headset (Liebermann
and Erdelt 2020). Within this environment dental
students were presented with a labeled 3D model
of the jaw with teeth and had the facility to select
individual teeth that could then be manipulated
via scaling, rotating, and moving. Additional
images, text, and audio were also available within
the environment to further reinforce the educa-
tional content. The authors evaluated their VR
system with 63 pre-clinical dentistry students via
a custom survey and found that the majority of
participants felt they understood dental morphol-
ogy better than when compared to traditional
textbook teaching (34.9% selecting “Much Bet-
ter,”and 57.1% Selecting “Better”). The authors
also found that students were willing to purchase
VR equipment privately to support their learning,
and that haptic and auditive elements were
evaluated more highly than just visual
(Liebermann and Erdelt 2020).
In the previous VR example, a specialized VR
headset was required to facilitate the delivery of
the educational content. However, as the potential
for VR and AR continue to grow, specialized
headsets are becoming cheaper, and VR/AR
environments can now be delivered via
smartphone applications. Juan et al. demonstrate
such an example whereby they developed an AR
smartphone app to support dental morphology
education (Juan et al. 2016). The AR app accesses
the smartphone camera which allows the student
to focus on a printed 2D image of a jaw, the app
then detects the image and displays a 3D model of
the jaw with teeth over the image. The student can
then choose a specific tooth to view in isolation
which can be further explored by scaling or
manipulating the camera location. There are addi-
tional learning aids within the app that overlays
all morphological details. The AR app was then
evaluated with undergraduate students, postgrad-
uate students, and academic staff, and
demonstrated that the app was effective in knowl-
edge transmission and for reinforcing acquired
knowledge (Juan et al. 2016). Furthermore, Haji
et al. (2021) conclude within their review of AR
for dental education that the benefits of AR and
VR for dental education are evident and can fur-
ther provide access to quality educational
interactions with an overall lowered cost to train-
ing (Haji et al. 2021).
The combination of VR and AR is referred to
as Mixed Reality (MR), and despite its perceived
advantages in other dentistry applications, it has
yet to be used specifically for dental/tooth mor-
phology education (Monterubbianesi et al. 2022).
9 Visualizing Anatomy in Dental Morphology Education 197
9.5.10 The Web as a Learning
Technology
Harnessing the power of the web as a learning
technology is not a new or novel method; how-
ever, the increasing capabilities of the modern
web continue to support innovations in the deliv-
ery of the educational content. Early web
applications were limited and were mostly refined
to the display of text, images, audio and video
files. However, advances in web technology
(namely HTML5) have allowed for the integra-
tion of interactive 3D, VR, and AR making it a
powerful CAL system. As regarded by Zitzmann
et al.,the possibilities of e-Learning can create
meaningful and enjoyable learning experiences
that are accessible anytime for dental students
(Zitzmann et al. 2020). However, researchers
and developers within this space often disagree
on domain definitions, as in other areas of tech-
nology/multimedia, as the potential and power of
the technology evolves, so too does its definition
(Moore et al. 2011), often narrowing or broaden-
ing the definition scope. For example, “E-
Learning”is considered by some researchers as
strictly web-based education, whereas others
include offline computer-assisted teaching aids
such as CDs/DVDs (Moore et al. 2011). For the
purpose of the below sub-sections, we refer to the
e-learning definition as the explicit use of the web
as a learning technology.
9.5.11 E-Learning
E-learning has several benefits: access to a greater
variety of learning materials, flexible learning
environment with control over the pace and
accessibility of learning, more adaptive than tra-
ditional teaching methods alone and offering
increased visualization. Additionally, it offers
educators with an easily updatable multimedia
platform for interactive teaching and improved
cognitive skills (Salajan et al. 2009; Wright and
Hendricson 2010; Maggio et al. 2012; Arevalo
et al. 2013; Patil et al. 2015; Chavarria-Bolaños
et al. 2020; Movchun et al. 2021).
The introduction of e-learning into the
dentistal curriculum has been assisted by techno-
logical advances (Mitov et al. 2010; Manogue
et al. 2011) and students choosing to study with
various online resources (Abu Eid et al. 2013).
Blended learning techniques are beneficial for
students with different learning styles and have
demonstrated to produce better results (Pereira
et al. 2007) along with increased student satisfac-
tion (Reissmann et al. 2015) and enhanced com-
munication between students and teachers
(Wright and Hendricson 2010).
However, the use of e-Learning for tooth mor-
phology education does not need to strictly use
online systems. Goodacre et al. (2021) demon-
strate this through their combination of online
webinars with at-home wax-up of teeth. Over
the course of three weeks, students were required
to attend 11 webinars and complete five waxing
projects through images and videos available via
the online 3D tooth atlas. It was concluded that
this novel approach yielded very good results
from the students and that they effectively learned
the didactic aspects required for tooth morphol-
ogy; however, most of the students preferred
face-to-face lectures and lab sessions for learning
tooth morphology (Goodacre et al. 2021).
9.5.12 Learning Management System
(LMS)
Learning Management Systems (LMS) are virtual
learning environments that can simulate face-to-
face learning and also allow for the sharing, man-
agement, and automation of educational
resources (de Oliveira et al. 2016). Commonly
used LMSs include Blackboard (2022), Moodle
(2022), and Canvas (2022).
These systems have been utilized for the deliv-
ery of educational materials for a number of
years; however, as these systems are further
developed, their potential use for the delivery of
educational materials increases. This was further
exemplified during the COVID-19 pandemic
where social distancing regulations drove the
need for virtual and remote learning. Some
researchers considered the imposed necessity as
an enormous opportunity for dental educators to
move toward and fully harness LMSs for dental
teaching/learning experiences (Chavarria-
Bolaños et al. 2020). This can be seen in the
work of Lone et al. (2021) who developed an
interactive tooth morphology module via the Can-
vas LMS. This module included video recordings
of lectures, lecture notes, links to live sessions,
and an interactive Fédération Dentaire
Internationale (FDI) grid, whereby students
could click on each of the notations and be
brought to either a 2D flashcard or interactive
3D model of the selected tooth. The authors
conclude that the course was a feasible solution
during the pandemic as student results for that
year were in line with previous years (Lone
et al. 2021) (Fig. 9.4).
198 T. Vagg et al.
Fig. 9.4 Study tools provided for the Tooth morphology
module during the COVID pandemic. FDI grids accessing
3D models for permanent and deciduous dentition and 2D
flash cards. The models included were from the
SketchFab™website and were prepared by the University
of Dundee (permanent dentition) and the University of
Michigan (deciduous dentition). The 2D flash cards for
permanent dentition were obtained from Wheeler’s Dental
Anatomy
9.5.13 Social Media
Social Media Platforms (SMP) are websites and
applications originally developed to allow users
to connect and share information and content with
each other in a social context, via text, image, and
video posts (Kurian et al. 2022). However, the
ubiquity and usability of such platforms has led to
their widespread usage in education as tools to
facilitate teaching, learning, communication, and
collaboration (Mcandrew and Johnston 2012).
9 Visualizing Anatomy in Dental Morphology Education 199
The advent of SMPs during the 2000s and
their subsequent use in dental education includes
social networking sites such as Facebook and
Twitter (Arnett et al. 2013; Siqueira et al. 2021)
video sharing sites such as YouTube (Knösel
et al. 2011; Mukhopadhyay et al. 2014), informa-
tion repositories such as “wikis”(Salajan and
Mount 2012), audio/podcasting platforms such
as iTunes (Jham et al. 2008) and blogging
platforms such as WordPress (Mcandrew and
Johnston 2012). In more recent years, the devel-
opment of newer SMPs and their popularity with
the “social media”generation of students, along
with increased availability of internet and
smartphones, has led to a further increase in the
use of SMPs in dental education (Rajeh et al.
2021; Kurian et al. 2022). This includes platforms
such as photo- and video-sharing social network-
ing sites such as Instagram, Snapchat, and TikTok
(Nguyen et al. 2021; Rajeh et al. 2021), as well as
social messaging app like WhatsApp (Martins
et al. 2022).
The usage of SMPs within dental education is
varied and often echoes the original purpose of
these platforms for social connection and commu-
nication. For example, Siqueira et al. (2021) used
Facebook groups as a forum for peer-to-peer dis-
cussion regarding course content and also for
communication between faculty and students,
which they found to lead to increased engagement
(Siqueira et al. 2021). Similarly, in a scoping
review on the use of WhatsApp in dental educa-
tion, Martins et al. (2022) concluded that the app
is a useful tool for exposing students to informa-
tion and also for communication between
students and teachers (Martins et al. 2022). Fur-
thermore, the visual aspect of these platforms,
which allow the creation and sharing of content
and resources such as images, illustrations,
animations, and videos, can facilitate methods of
student learning as previously described in
sections on both conventional and innovative
visual methods for teaching tooth morphology.
YouTube is one of the more popular SMPs
utilized by dental students (Burns et al. 2020).
with a large number of dental education videos
publicly available (Knösel et al. 2011). As part of
a tooth morphology module redesign, Abdalla
(2020) integrated YouTube videos into the digital
delivery of the new module to host videos of
recorded lectures and detailed demonstrations of
tooth morphology waxing. The authors note
that recording this content and making it
available to students has an advantage over live
demonstrations since the videos can be replayed
and watched at the students’own pace
(Abdalla 2020). As well as standard videos,
YouTube is now capable of hosting interactive
3D animations and videos for use on smartphone
VR devices, and it has the potential to be
further integrated into dental morphology educa-
tion as an accessible VR system. However,
YouTube must be used or recommended to
medical and dental students with extreme caution
(Bosslet 2011) in order to guarantee the accuracy
of content and reliability of writers/content
creators (Knosel et al. 2011; Mukhopadhyay
et al. 2014).
A survey by Nguyen et al. (2021) at two dental
institutions in the USA found that students felt
Instagram was a useful tool for reinforcing tooth
morphology content as well as encouraging fur-
ther engagement with the material outside of class
(Nguyen et al. 2021). In this study, the education
content consisted of faculty-curated private
Instagram accounts which posted images, videos,
practice questions, and quizzes (Nguyen et al.
2021). However, there are also a large number
of public Instagram accounts focusing on dental
anatomy content, although (similar to YouTube)
a potential drawback to these public accounts is
lack of quality control and ensuring information
is correct (Douglas et al. 2019). Nevertheless, the
visual nature of the image- and video-sharing
features of Instagram and other SMPs seem to
be a good fit to the teaching of visually-focused
fields such as dental anatomy and tooth
morphology (Douglas et al. 2019; Nguyen et al.
2021).
200 T. Vagg et al.
9.6 Digital Teaching: Some Points
to Ponder!
In the preceding sections, we examined the con-
ventional teaching of tooth morphology and the
use of visualization, as well as changes in digital
education that offer visualization to their learners.
There are, however, a few crucial factors to con-
sider before e-learning is implemented and digital
changes are made to a curriculum.
Before giving the final takeaway message, the
authors of this chapter will outline and explore
several crucial and fundamental factors that need
to be considered for digital and online education.
9.6.1 The Digital Divide
ICT (Information and Communication Technol-
ogy) is changing how dental morphology is
visualized, as well as education in general, as
was previously stated. However, with these
advancements and potential implementations of
ICT in the Dental Curricula comes a “Digital
Divide”with a global disparity noticed, with
some institutes reporting high (Hamissi et al.
2013) and low (Postma et al. 2020) dental student
ICT. This gap or Digital Divide is frequently used
in the context of education to describe the
disparities in access to technology (hardware,
software, and the internet) imposed by a variety
of reasons, including social, economic, and geo-
graphic ones (Baig et al. 2019). In order to pre-
vent these students from becoming “digitally
excluded,”some universities attempt to provide
their students with help such as equipment loan,
minor financing awards, and accessible labs/study
facilities. However, this provision also applies to
other factors, such as training access and
familiarity with digital literacy abilities for the
students (the “digi divide”) (Salajan et al. 2010).
As a result, teachers using cutting-edge digital
learning tools should make sure that their pupils
have access to all required resources (technology,
the internet, etc.), including digital training
(Khatoon et al. 2019).
9.6.2 Accreditation of Digital
Technology in Education
Different LMS and CAL systems have been used
to facilitate remote learning in various elements
of dental education that required visualization
during the COVID-19 pandemic (Azab and
Aboalshamat 2021; Lone et al. 2021). The asyn-
chronous tools, however, may be utilized less
frequently or even abandoned altogether (Crome
et al. 2021) as we transition toward a post-
COVID setting and synchronous face-to-face/tra-
ditional approaches are once again viable. But
there are still circumstances where these LMS
and CALs for remote learning might be useful,
such as during a new pandemic, a virus outbreak,
to support students who are susceptible/high risk/
unable to attend due to bereavement/sickness, and
during natural disasters like storms and flooding
(Longhurst et al. 2020; Mishall et al. 2022; Nassar
and Rajeh 2022). Therefore, it is strongly advised
that researchers and educators continue to think
about these technologies in order to promote
independent or distant learning (perhaps using a
blended/hybrid method), especially in developing
countries (Baig et al. 2019).
9.6.3 Suggested Recommendations
for Educators to Implement
Novel Visualization Tools
Academics and educators are finding it challeng-
ing to offer time to update tooth morphology
(especially in senior clinical years), where it is
most needed, due to operational challenges
imposed by the growth in dental student numbers,
decrease in healthy extracted teeth which can be
used for teaching, and reduction in teaching
hours. Therefore, putting in place cutting-edge
S
visualization technologies to assist self-directed
revision might aid in resolving these problems.
9 Visualizing Anatomy in Dental Morphology Education 201
9.6.4 Educators to Offer Multiple
Modes of Representation
In order to enable learning for all the learners in a
single environment, the Center of Applied Special
Technology (CAST) in the United States devel-
oped the educational framework known as Uni-
versal Design for Learning (UDL) (About
Universal Design for Learning 2022). Educators
can utilize this educational framework’s three
guiding principles and 31 checkpoints while cre-
ating the learning outcomes of their modules/cur-
riculum and also executing the delivery of the
teaching for the module. UDL offers flexible
instruction and seeks to engage and inspire all
students. Various methods of representation,
numerous means of action and expression, and
multiple ways of interaction and engagement are
among the three fundamental tenets of UDL.
Tooth morphology is a basic science subject
with numerous applications in the clinical years
for dental healthcare professionals. Therefore, it
is crucial to make sure that dental students retain,
recall, and comprehend the morphological
properties of all the teeth rather than acquiring
information by rote. We can develop resourceful
and informed learners by putting the UDL multi-
ple means of representation principles into prac-
tice and allowing dental students to visualize the
tooth morphology using a variety of teaching
tools like extracted teeth, plastic teeth, 3D teeth,
2D flash cards, and lecture recordings. The
flipped classroom model has been successfully
implemented in medical and dental education
and shows promising results in the dental anat-
omy classroom by empowering the students to
improve their cognitive and psychomotor abilities
while the teacher promotes and supports their
learning (Chutinan et al. 2018; Kellesarian 2018).
9.6.5 Educators to Be Involved
in the Development/Selection
of Teaching Tools
Additionally, participating actively in the creation
and assessment of digital tools is advised for
educators interested in integrating digital technol-
ogy into the teaching of dental morphology. This
can take the form of actively examining the open-
source information that is currently accessible and
advising students on accurate and appropriate
tools, or it can take the form of creating/
collaborating on the creation of a new visualiza-
tion resource.
9.7 Individualizing the Process
with One University’s Example:
Tooth Morphology Module
Teaching at University
College Cork
At University College Cork, students can enter
the Bachelor of Dental Surgery (BDS) program
through two different routes, either direct BDS
entry after finishing secondary education, or a
graduate entry program, where mature students
with a third-level biological sciences degree can
apply (BDSG). The BDS degree is a 5-year pro-
gram whereas the BDSG degree is a condensed
4-year program. The tooth morphology course is
taught in the second and fourth semesters of the
dental degrees (BDSG and BDS respectively) and
includes 15 hours of face-to-face interactive
lectures and 12 hours of practical laboratory
hours with ~2.5 contact hours per week. The
teaching is supported by the university’sLM
Canvas allowing student’s access to lecture/prac-
tical handout, learning recordings, online
resources, along with any communication about
the teaching. The practical sessions are held in the
laboratory where students are offered hands-on
approach to learning with a wide range of
teaching tools such as extracted human teeth,
high-quality plastic replica teeth set, online 3D
tooth morphology quiz, and a self-assessment
opportunity with extracted teeth. Students are
offered self-directed learning to study the dental
morphological features of permanent and decidu-
ous teeth with a lecturer facilitating the learning
process (Lone et al. 2019). The recommended
supporting textbook and atlas are Wheeler’s Den-
tal Anatomy Physiology and Occlusion (Nelson
2014)andIllustrated Dental Embryology, Histol-
ogy and Anatomy (Fehrenbach 2016).
202 T. Vagg et al.
Fig. 9.5 Timeline showing the tooth morphology teach-
ing in the 5-year curriculum at University College Cork.
(a) Year 1 and Year 2 of the dental curriculum, where
tooth morphology is taught with various teaching tools. (b)
Year 3, 4, and 5, where clinical dental modules need the
vertical integration of tooth morphology. (c) Inclusion of
digital technologies to allow tooth morphology revision
throughout the dental curriculum
Assessment for this module has two elements,
a formative spot examination and an end-of-mod-
ule examination. The formative spot exam is a
timed exam held in the lab with various stations
having extracted human permanent and decidu-
ous teeth which the students are asked to identify
and also chart its notation using either the Fédér-
ation Dentaire Internationale (FDI) or Palmer
notation system. Each station is timed for one
minute. The end of the module examination
consists of essay and multiple-choice questions
and is 1.5 hours in duration.
In the diagram below the authors have
demonstrated the various teaching aids used in
the first 2 years of the dental curriculum to teach
tooth morphology. It has also been demonstrated
where the revision of tooth morphology can be
employed in the clinical years and which clinical
specialities it could be helpful for, thus showing
vertical integration of tooth morphology
(Fig. 9.5).
9.8 Best Practice Moving Forward
The best way to teach tooth morphology’s funda-
mental concepts is through conventional lectures
and practical sessions supported by a variety of
cutting-edge auxiliary teaching tools. Therefore,
moving ahead, a blended/hybrid teaching para-
digm should be used. These cutting-edge digital
tools must be introduced in order to supplement
dental students’learning. These tools work best
when used in conjunction with traditional teach-
ing techniques like lectures and labs. Numerous
readily available supplemental teaching methods
like online tools, and software programs may be
helpful in grasping certain components of the
curriculum, however they cannot replace direct
visual and tactile contact with extracted teeth
since in situ teeth are the ones that the students
treat primarily in clinical settings (Risnes et al.
2019). Offering multiple teaching pedagogies
will ensure active student engagement in the
learning process. Futhermore, these digital tools
can be easily used in the clinical years to allow for
vertical integration of tooth morphology within
the dental currciulum.
9 Visualizing Anatomy in Dental Morphology Education 203
References
‘Blackboard’(2022) Blackboard Inc, Washington,
DC. https://www.blackboard.com/en-eu/teaching-
learning/learning-management/blackboard-learn
‘Moodle’(2022) Moodle. West Perth, Western Australia.
https://moodle.org
Abdalla R (2020) Teaching dental anatomy & morphol-
ogy: an updated clinical- & digital-based learning
module. Eur J Dent Educ 24(4):650–659. https://doi.
org/10.1111/eje.12552
Abdel Meguid E, Aly A, Allen W (2017) Dental students’
perceptions of effective anatomy teaching. Literacy Inf
Comput Educ J 8(2):2562–2569. https://doi.org/10.
20533/licej.2040.2589.2017.0339
About Universal Design for Learning (2022) CAST.
https://www.cast.org/impact/universal-design-for-
learning-udl. Accessed 25 July 2022
Abu Eid R et al (2013) Self-directed study and carving
tooth models for learning tooth morphology:
perceptions of students at the University of Aberdeen,
Scotland. J Dent Educ 77(9):1147–1153. http://www.
jdentaled.org/content/77/9/1147.full.pdf
ADEE (2016) SIGT-02: ‘Biomedical sciences in dentistry:
developing a contemporary Core curriculum’. Associ-
ation for Dental Education in Europe (Outcome of
ADEE SIG’s 2013-2016)
Allen LK, Bhattacharyya S, Wilson TD (2015) Develop-
ment of an interactive anatomical three-dimensional
eye model. Anat Sci Educ 8(3):275–282. https://doi.
org/10.1002/ase.1487
Al-Rawi W, Easterling L, Edwards PC (2015) Develop-
ment of a Mobile device optimized cross platform-
compatible Oral pathology and radiology spaced repe-
tition system for dental education. J Dent Educ 79(4):
439–447. https://doi.org/10.1002/j.0022-0337.2015.
79.4.tb05902.x
Amin M et al (2017) Dental students’perceptions of
learning value in PBL groups with medical and dental
students together versus dental students alone. J Dent
Educ 81(1):65–74. http://www.jdentaled.org/content/
81/1/65.long
Arevalo C et al (2013) Framework for E-learning assess-
ment in dental education: a global model for the future.
J Dent Educ 77:564–575. https://doi.org/10.1002/j.
0022-0337.2013.77.5.tb05504.x
Arnett MR, Loewen JM, Romito LM (2013) Use of social
media by dental educators. J Dent Educ 77(11):
1402–1412. https://doi.org/10.1002/j.0022-0337.
2013.77.11.tb05616.x
Azab E, Aboalshamat K (2021) Attitudes, barriers, and
experiences regarding E-learning and dental education
during COVID-19 pandemic. Open Dent J 15:464–
472. https://doi.org/10.2174/1874210602115010464
Bacro TR, Gebregziabher M, Ariail J (2013) Lecture
recording system in anatomy: possible benefit to audi-
tory learners. Anat Sci Educ 6(6):376–384. https://doi.
org/10.1002/ase.1351
Baig QA, Abbas Zaidi SJ, Alam BF (2019) Perceptions of
dental faculty and students of E-learning and its appli-
cation in a public sector Dental College in Karachi,
Pakistan. J Pak Med Assoc 69(9):1320–1325. PMID:
31511718
Bakr MM, Thompson CM, Massadiq M (2016)
Anatomical sciences: a foundation for a solid learning
experience in dental technology and dental prosthetics.
Anat Sci Educ. https://doi.org/10.1002/ase.1650
Best L et al (2016) Reaching consensus on essential bio-
medical science learning objectives in a dental curricu-
lum. J Dent Educ 80(4):422–429. http://www.
jdentaled.org/content/80/4/422.full.pdf
Bogacki R, Best A, Abbey L (2004) Equivalence study of
a dental anatomy computer-assisted learning program.
J Dent Educ 68:867–871. https://doi.org/10.1002/j.
0022-0337.2004.68.8.tb03836.x
Bölek KA, De Jong G, Henssen D (2021) The effective-
ness of the use of augmented reality in anatomy educa-
tion: a systematic review and meta-analysis. Sci Rep
11(1):1–10. https://doi.org/10.1038/s41598-021-
94721-4
Bosslet GT (2011) Commentary: the good, the bad, and
the ugly of social media. Acad Emerg Med 18(11):
1221–1222. https://doi.org/10.1111/j.1553-2712.
2011.01197.x
Bryson D (2012) Using flashcards to support your
learning. J Vis Commun Med 35(1):25–29. https://
doi.org/10.3109/17453054.2012.655720
Burns LE et al (2020) YouTube use among dental students
for learning clinical procedures: A multi-institutional
study. J Dent Educ 84(10):1151–1158. https://doi.org/
10.1002/jdd.12240
204 T. Vagg et al.
Cantín M, Muñoz M, Olate S (2015) Generation of 3D
tooth models based on three-dimensional scanning to
study the morphology of permanent teeth. Int J
Morphol 33(2):782–787. https://doi.org/10.4067/
S0717-95022015000200057
‘Canvas’(2022) Instructure. Salt Lake City, UT. https://
www.instructure.com
Chavarria-Bolaños D et al (2020) E-learning in dental
schools in the times of COVID-19: a review and anal-
ysis of an educational resource in times of the COVID-
19 pandemic. Odovtos Int J Dent Sci:207–224. https://
doi.org/10.15517/ijds.2020.41813
Chow AK, Sharmin N (2021) Developing an interactive
computer program for integrated dental education.
Healthc Inform Res 27(4):335–340. https://doi.org/
10.4258/hir.2021.27.4.335
Chutinan S, Riedy CA, Park SE (2018) Student perfor-
mance in a flipped classroom dental anatomy course.
Eur J Dent Educ 22(3):e343–e349. https://doi.org/10.
1111/eje.12300
Conte DB et al (2021) Educational interventions to
improve dental anatomy carving ability of dental
students: a systematic review. Anat Sci Educ 14(1):
99–109. https://doi.org/10.1002/ase.2004
Crome M et al (2021) Synchronous vs. asynchronous edu-
cation: questionnaire-based survey in dental medicine
during the COVID-19 pandemic**. Dtsch Zahnarztl
Z. https://doi.org/10.3238/dzz-int.2021.0025
de Boer IR et al (2015) Evaluation of the appreciation of
virtual teeth with and without pathology. Eur J Dent
Educ 19(2):87–94. https://doi.org/10.1111/eje.12108
de Oliveira PC, de Cunha CJC, Nakayama MK (2016)
Learning management systems (LMS) and e-learning
management: an integrative review and research
agenda. JISTEM 13:157–180. https://doi.org/10.4301/
s1807-17752016000200001
Dietrich T et al (2015) Smoking, smoking cessation, and
risk of tooth loss: the EPIC-Potsdam study. J Dent Res
94(10):1369–1375. https://doi.org/10.1177/
0022034515598961
Douglas RD, Hopp CD, Augustin MA (2014) Dental
students’preferences and performance in crown
design: conventional wax-added versus CAD. J Dent
Educ 78(12):1663–1672. http://www.jdentaled.org/
content/78/12/1663.full.pdf
Douglas NKM et al (2019) Reviewing the role of
Instagram in education: can a photo sharing application
deliver benefits to medical and dental anatomy educa-
tion? Med Sci Educ 29(4):1117–1128. https://doi.org/
10.1007/s40670-019-00767-5
Drake RL, Pawlina W (2014) Multimodal education
in anatomy: the perfect opportunity. Anat Sci Educ
7(1):1–2. https://doi.org/10.1002/ase.1426
Dulohery K et al (2021) Emerging from emergency pan-
demic pedagogy: a survey of anatomical educators in
the United Kingdom and Ireland. Clin Anat 34(6):
948–960. https://doi.org/10.1002/ca.23758
Elgreatly A, Mahrous A (2020) Enhancing student
learning in dental anatomy by using virtual three-
dimensional models. J Prosthodont 29(3):269–271.
https://doi.org/10.1111/jopr.13152
Fehrenbach MJ (2015) Student workbook for illustrated
dental embryology, histology and anatomy-E-book,
4th edn. Elsevier Health Sciences
Fehrenbach MJ (2016) Illustrated dental embryology, his-
tology, and anatomy - E-book. Elsevier Health
Sciences. https://books.google.ie/books?id=
iy9TBwAAQBAJ&printsec=frontcover&dq=
Illustrated+Dental+Embryology,+Histology+and
+Anatomy%E2%80%99+student+workbook&hl=
en&sa=X&redir_esc=y#v=onepage&q=Illustrated%
20Dental%20Embryology%2C%20Histology%20and
%20Anatomy%E2%80%99%20student%20work
book&f=false
Fonseca A et al (2022) Effect of dental course cycle on
anatomical knowledge and dental carving ability of
dental students. Anat Sci Educ 15(2):352–359.
https://doi.org/10.1002/ase.2078
Goodacre CJ et al (2021) An educational experiment
resulting from COVID-19: the use of at-home waxing
and webinars for teaching a 3-week intensive course in
tooth morphology to first year dental students. J
Prosthodont 30(3):202–209. https://doi.org/10.1111/
jopr.13295
Gould D et al (2014) How neuroscience is taught to North
American dental students: results of the basic science
survey series. J Dent Educ 78:437–444. https://doi.org/
10.1002/j.0022-0337.2014.78.3.tb05693.x
Guttmann GD (2000) Animating functional anatomy for
the web. Anat Rec 261(2):57–63. https://doi.org/10.
1002/(SICI)1097-0185(20000415)261:23.0.CO;2-R
Guttmann GD, Ma TP, MacPherson BR (2003) Making
gross anatomy relevant to dental students. J Dent Educ
67(3):355–358. http://www.jdentaled.org/content/67/
3/355.full.pdf
Haji Z et al (2021) Augmented reality in clinical dental
training and education. JPMA J Pak Med Assoc 71(1):
S42. PMID: 33582722
Hamissi J, Gholami S, Hamissi H (2013) The emerging
role of computer literacy in improving the performance
of dental students. Int J Collab Res Internal Med Public
Health 5
Jham BC et al (2008) Joining the podcast revolution. J
Dent Educ 72(3):278–281. https://doi.org/10.1002/j.
0022-0337.2008.72.3.tb04493.x
Joda T et al (2019) Augmented and virtual reality in dental
medicine: a systematic review. Comput Biol Med 108:
93–100. https://doi.org/10.1016/j.compbiomed.2019.
03.012
Johnson EO, Charchanti AV, Troupis TG (2012) Modern-
ization of an anatomy class: from conceptualization to
implementation. A case for integrated multimodal-
multidisciplinary teaching’. Anat Sci Educ 5(6):
354–366. https://doi.org/10.1002/ase.1296
Juan M et al (2016) A mobile augmented reality system for
the learning of dental morphology. Digit Educ Rev 30:
234–247
9 Visualizing Anatomy in Dental Morphology Education 205
Kellesarian SV (2018) Flipping the dental anatomy class-
room. Dent J 6(3). https://doi.org/10.3390/dj6030023
Kesner MH, Linzey AV (2005) Can computer-based
visual-spatial aids lead to increased student perfor-
mance in anatomy & physiology? Am Biol Teach
67(4):206–212. https://doi.org/10.2307/4451824
Khatoon B, Hill KB, Walmsley AD (2014) Dental
students’uptake of mobile technologies. Br Dent J
216(12):669–673. https://doi.org/10.1038/sj.bdj.
2014.523
Khatoon B, Hill K, Walmsley AD (2019) Mobile learning
in dentistry: challenges and opportunities. Br Dent J
227(4):298–304. https://doi.org/10.1038/s41415-019-
0615-x
Knösel M, Jung K, Bleckmann A (2011) YouTube, den-
tistry, and dental education. J Dent Educ 75(12):
1558–1568. https://doi.org/10.1002/j.0022-0337.
2011.75.12.tb05215.x
Knosel M, Jung K, Bleckmann A (2011) YouTube, den-
tistry, and dental education. J Dent Educ 75(12):
1558–1568. http://www.jdentaled.org/content/75/12/
1558.full.pdf
Koopaie M, Kolahdouz S (2016) Three-dimensional sim-
ulation of human teeth and its application in dental
education and research. Med J Islam Repub Iran 30:
461–461
Kurian N et al (2022) Influence of social media platforms
in dental education and clinical practice: a cross-
sectional survey among dental trainees and
professionals. J Dent Educ. https://doi.org/10.1002/
jdd.12914
Lam MT et al (2015) Evaluation of an innovative digital
assessment tool in dental anatomy. J Contemp Dent
Pract 16(5):366–371
Liebermann A, Erdelt K (2020) Virtual education: dental
morphologies in a virtual teaching environment. J Dent
Educ 84(10):1143–1150. Available at: 10/gqjtzz
Lone M et al (2017) Evaluation of an animation tool
developed to supplement dental student study of the
cranial nerves. Eur J Dent Educ 22(3):e427–e437.
https://doi.org/10.1111/eje.12321
Lone M et al (2018) A survey of tooth morphology teach-
ing methods employed in the United Kingdom and
Ireland. Eur J Dent Educ 22:e438. https://doi.org/10.
1111/eje.12322
Lone M et al (2019) Development and assessment of a
three-dimensional tooth morphology quiz for dental
students. Anat Sci Educ 12(3):284–299. https://doi.
org/10.1002/ase.1815
Lone M, Mohamed MAA, Toulouse A (2021) Develop-
ment of an online tooth morphology course in response
to COVID-19 restrictions. J Dent Educ 85(S3):
1946–1948. https://doi.org/10.1002/jdd.12643
Longhurst GJ et al (2020) Strength, weakness, opportu-
nity, threat (SWOT) analysis of the adaptations to
anatomical education in the United Kingdom and
Republic of Ireland in response to the Covid-19 pan-
demic. Anat Sci Educ 13(3):301–311. https://doi.org/
10.1002/ase.1967
Lowe RK (2004) Animation and learning: value for
money. Curtin University, Bentley, WA, pp 558–561
Maggio MP, Hariton-Gross K, Gluch J (2012) The use of
independent, interactive media for education in dental
morphology. J Dent Educ 76(11):1497–1511. http://
www.jdentaled.org/content/76/11/1497.full.pdf
Magne P (2015) A new approach to the learning of dental
morphology, function, and esthetics: the “2D-3D-4D”
concept. Int J Esthet Dent 10(1):32–47
Manogue M et al (2011) Curriculum structure, content,
learning and assessment in European undergraduate
dental education - update 2010. Eur J Dent Educ
15(3):133–141.https://doi.org/10.1111/j.1600-0579.
2011.00699.x
Martins JCS et al (2022) Use of WhatsApp in dental
education: a scoping review. Med Sci Educ 32(2):
561–567. https://doi.org/10.1007/s40670-022-01520-1
Mcandrew M, Johnston A (2012) The role of social Media
in Dental Education. J Dent Educ 76:1474–1481.
https://doi.org/10.1002/j.0022-0337.2012.76.11.
tb05409.x
McAndrew M et al (2016) Dental student study strategies:
are self-testing and scheduling related to academic
performance? J Dent Educ 80(5):542–552
McBride JM, Drake RL (2018) National survey on
anatomical sciences in medical education. Anat Sci
Educ 11(1):7–14. https://doi.org/10.1002/ase.1760
McHanwell S (2015) Teaching anatomical sciences to
dental students. In: Chan LK, Pawlina W (eds) Teach-
ing anatomy: a practical guide, 1st edn. Springer,
New York, pp 353–361
McHanwell S, Matthan J (2020) Teaching anatomical
sciences to dental students. In: Chan LK, Pawlina W
(eds) Teaching anatomy: a practical guide. Springer,
Cham, pp 495–507. https://doi.org/10.1007/978-3-
030-43283-6_48
McHanwell S et al (2007) Adding ‘common sense’to ‘the
need to know’in anatomy teaching. J Anat 210(5):
615–616
Mishall PL et al (2022) Transition to effective online
anatomical sciences teaching and assessments in the
pandemic era of COVID-19 should be evidence-based.
Med Sci Educ 32(1):247–254. https://doi.org/10.1007/
s40670-021-01435-3
Mitov G et al (2010) Introducing and evaluating
MorphoDent, a web-based learning program in dental
morphology. J Dent Educ 74(10):1133–1139. https://
doi.org/10.1002/j.0022-0337.2010.74.10.tb04968.x
Monterubbianesi R et al (2022) Augmented, virtual and
mixed reality in dentistry: a narrative review on the
existing platforms and future challenges. Appl Sci
12(2):877
Moore JL, Dickson-Deane C, Galyen K (2011)
e-Learning, online learning, and distance learning
environments: are they the same? Internet High Educ
14(2):129–135
Movchun V, Lushkov R, Pronkin N (2021) Prediction of
individual learning style in e-learning systems:
opportunities and limitations in dental education.
Educ Inf Technol 26:1–15. https://doi.org/10.1007/
s10639-020-10372-4
206 T. Vagg et al.
Mukhopadhyay S, Kruger E, Tennant M (2014) YouTube:
A new way of supplementing traditional methods in
dental education. J Dent Educ 78(11):1568–1571.
https://doi.org/10.1002/j.0022-0337.2014.78.11.
tb05833.x
Muller F, Naharro M, Carlsson GE (2007) What are the
prevalence and incidence of tooth loss in the adult and
elderly population in Europe? Clin Oral Implants Res
18(Suppl 3):2–14. https://doi.org/10.1111/j.
1600-0501.2007.01459.x
Murbay S et al (2020) Evaluation of the introduction of a
dental virtual simulator on the performance of under-
graduate dental students in the pre-clinical operative
dentistry course. Eur J Dent Educ 24(1):5–16. https://
doi.org/10.1111/eje.12453
Nagasawa S et al (2010) Construction of database for
three-dimensional human tooth models and its ability
for education and research--carious tooth models’.
Dent Mater J 29(2):132–137. https://www.jstage.jst.
go.jp/article/dmj/29/2/29_2009-013/_pdf
Nassar AA, Rajeh MT (2022) Blackboard in dental educa-
tion: educators’perspectives during the COVID-19
pandemic: A qualitative study. Adv Med Educ Pract
13:629–639. https://doi.org/10.2147/AMEP.S367221
Nelson SJ (2014) Wheeler’s dental anatomy, physiology
and occlusion - E-Book. Elsevier Health Sciences.
https://books.google.ie/books?id=BM5sBQAAQBAJ
Nguyen VH, Lyden ER, Yoachim SD (2021) Using
Instagram as a tool to enhance anatomy learning at
two US dental schools. J Dent Educ 85(9):
1525–1535. https://doi.org/10.1002/jdd.12631
Obrez A et al (2011) Teaching clinically relevant dental
anatomy in the dental curriculum: description and
assessment of an innovative module. J Dent Educ 6:
797–804. http://www.jdentaled.org/content/75/6/797.
full.pdf
Patil S et al (2015) Knowledge, attitude and practice of
tooth morphology among dental students. J Adv Clin
Res Insights 2:124–130. https://doi.org/10.15713/ins.
jcri.60
Pereira JA et al (2007) Effectiveness of using blended
learning strategies for teaching and learning human
anatomy. Med Educ 41(2):189–195. https://doi.org/
10.1111/j.1365-2929.2006.02672.x
Postma TC et al (2020) The “digital access divide”at a
South African dental school - a cross-sectional study -
part 1. South Afr Dent J 75(7):373–376. https://doi.
org/10.17159/2519-0105/2020/v75no7a4
Rajeh MT et al (2021) Social media as a learning tool:
dental students’perspectives. J Dent Educ 85(4):
513–520. https://doi.org/10.1002/jdd.12478
Reddy R, Pathak L (2021) Curriculum integration for
medical and dental students. J Univ College Med Sci
9(01):82–86. https://doi.org/10.3126/jucms.v9i01.
37989
Redwood CJ, Townsend GC (2011) The dead center of the
dental curriculum: changing attitudes of dental
students during dissection. J Dent Educ 75(10):
1333–1344. https://doi.org/10.1002/j.0022-0337.
2011.75.10.tb05179.x
Reissmann DR et al (2015) A model of blended learning in
a preclinical course in prosthetic dentistry. J Dent Educ
79(2):157–165. http://www.jdentaled.org/content/79/
2/157.full.pdf
Richardson-Hatcher A, Hazzard M, Ramirez-Yanez G
(2014) The cranial nerve skywalk: A 3D tutorial of
cranial nerves in a virtual platform. Anat Sci Educ 7(6):
469–478. https://doi.org/10.1002/ase.1445
Risnes S et al (2019) Tooth identification puzzle: a method
of teaching and learning tooth morphology. Eur J Dent
Educ 23(1):62–67. https://doi.org/10.1111/eje.12403
Rizzolo LJ, Stewart WB (2006) Should we continue teach-
ing anatomy by dissection when ...? Anat Rec B New
Anat 289(6):215–218. https://doi.org/10.1002/ar.b.
20117
Roy E, Bakr MM, George R (2017) The need for virtual
reality simulators in dental education: a review. Saudi
Dent J 29(2):41–47. https://doi.org/10.1016/j.sdentj.
2017.02.001
Salajan FD, Mount GJ (2008) University of Toronto’s
dental school shows “new teeth”: moving towards
online instruction. J Dent Educ 72(5):532–542.
https://doi.org/10.1002/j.0022-0337.2008.72.5.
tb04517.x
Salajan FD, Mount GJ (2012) Leveraging the power of
web 2.0 tools: a Wiki platform as a multimedia teach-
ing and learning environment in dental education. J
Dent Educ 76(4):427–436. https://doi.org/10.1002/j.
0022-0337.2012.76.4.tb05274.x
Salajan FD et al (2009) Learning with web-based interac-
tive objects: an investigation into student perceptions
of effectiveness. Comput Educ 53(3):632–643. https://
doi.org/10.1016/j.compedu.2009.04.006
Salajan FD, Schönwetter DJ, Cleghorn BM (2010) Student
and faculty inter-generational digital divide: fact or
fiction? Comput Educ 55:1393–1403. https://doi.org/
10.1016/j.compedu.2010.06.017
Salajan FD, Mount GJ, Prakki A (2015) An assessment of
students’perceptions of learning benefits stemming
from the design and instructional use of a Web3D
atlas. Electron J e-Learning 13(2):120–137
Schonwetter DJ et al (2016) Assessing the impact of voice-
over screen-captured presentations delivered online on
dental students’learning. J Dent Educ 80(2):141–148.
http://www.jdentaled.org/content/80/2/141.full.pdf
Shigli K et al (2016) Use of PowerPoint presentation as a
teaching tool for undergraduate students in the subject
of gerodontology. J Indian Prosthodont Soc 16(2):
187–192. https://doi.org/10.4103/0972-4052.167940
Siqueira MF, Saeed SG, Siqueira WL (2021) Using
Facebook to increase student engagement. J Dent
Educ 85(S3):2028–2029. https://doi.org/10.1002/jdd.
12531
Snelling J, Sahai A, Ellis H (2003) Attitudes of medical
and dental students to dissection. Clin Anat 16(2):
165–172. https://doi.org/10.1002/ca.10113
9 Visualizing Anatomy in Dental Morphology Education 207
Sugand K, Abrahams P, Khurana A (2010) The anatomy
of anatomy: a review for its modernization. Anat Sci
Educ 3(2):83–93. https://doi.org/10.1002/ase.139
Suh E et al (2022) The effectiveness of a 3D virtual tooth
identification test as an assessment tool for a dental
anatomy course. Eur J Dent Educ 26(2):232–238.
https://doi.org/10.1111/eje.12691
Tam M et al (2009) Is learning anatomy facilitated by
computer-aided learning? A review of the literature.
Med Teach 31(9):e393–e396. https://doi.org/10.1080/
01421590802650092
Toyohiro K et al (2021) Development of flash cards to
teach about lesions in the jaws and maxillary sinuses.
Oral Radiol 37(2):231–235. https://doi.org/10.1007/
s11282-020-00435-0
Tversky B, Morrison JB, Betrancourt M (2002) Anima-
tion: can it facilitate? Int J Hum-Comput St 57(4):
247–262. https://doi.org/10.1006/ijhc.2002.1017
Vuchkova J, Maybury T, Farah CS (2012) Digital interac-
tive learning of oral radiographic anatomy. Eur J Dent
Educ 16(1):e79–e87. https://doi.org/10.1111/j.
1600-0579.2011.00679.x
university. BMC Med Educ 20(1):469. https://doi.org/
10.1186/s12909-020-02390-0
Wang H et al (2020) The effect of 3D-printed plastic teeth
on scores in a tooth morphology course in a Chinese
Wignall R (2014) Book review: anatomy of orofacial
structures: a comprehensive approach, 7th edition. Br
Dent J 217(4):166–166. https://doi.org/10.1038/sj.bdj.
2014.723
Wilson T (2015) Role of image and cognitive load in
anatomical multimedia. In: Chan LK, Pawlina W
(eds) Teaching anatomy: a practical guide, 1st edn.
New York, NY, Springer, pp 237–246
Wright EF, Hendricson WD (2010) Evaluation of a 3-D
interactive tooth atlas by dental students in dental anat-
omy and endodontics courses. J Dent Educ 74(2):
110–122. https://doi.org/10.1002/j.0022-0337.2010.
74.2.tb04860.x
Yeung JC, Fung K, Wilson TD (2011) Development of a
computer-assisted cranial nerve simulation from the
visible human dataset. Anat Sci Educ 4(2):92–97.
https://doi.org/10.1002/ase.190
Zitzmann NU et al (2020) Digital undergraduate education
in dentistry: a systematic review. Int J Environ Res
Public Health 17(9). https://doi.org/10.3390/
ijerph17093269
Flashcards: The Preferred Online
Game-Based Study Tool Self-Selected by
Students to Review Medical Histology
Image Content
10
Priti L. Mishall , William Burton, and Michael Risley
Abstract
Medical students use several supplementary
digital resources to support learning. Majority
of these supplementary resources enhance
learning by recall and repetition. A few
examples of these resources are concept
maps, flashcards (FCs), and self-testing tools.
Traditionally, paper-based FCs are used in
higher education. The concept of paper-based
FCs is extended to the digital world in the form
of electronic/web-based FCs. The use of elec-
tronic/digital flashcards has been reported to
review course material in the medical school
curriculum. Some of the medical school
coursework requires students to acquire visual
skills, for example, histology and pathology.
Students, who do not have prior knowledge of
the basic content on histology and pathology
struggle to identify microscopic tissues and
organs. Therefore, students look for other sup-
plementary resources to support visual
learning. Digital resources like Anki, Quizlet,
and Osmosis provide study tools that support
visual skills. A review of the literature
revealed only a few publications pertaining to
the use of digital testing tools for histology
education in medical school curriculum. In
the medical histology course at the Albert
Einstein College of Medicine (Einstein),
Bronx, NY, first-year medical students used a
game-based platform (Quizlet) to review
image-based histology course content in the
form of four Quizlet study sets. Students
chose from six Quizlet study tools (Flashcards,
Learn, Speller, Test, Match, and Race/Gravity)
to review the image-based course material and
test their knowledge on accurate identification
of histological images. The data on student
usage of study tools was tracked and analyzed
for 4 years (Graduating Classes of 2018 to
2021) to calculate: the total usage of the
game-based study tools (Flashcards, Learn,
Speller, Test, Match, and Race/Gravity) over
the period of 4 years, total percent usage over
4 years of each game-based study tools
(Flashcards, Learn, Speller, Test, Match, and
Race/Gravity) in each of the four Quizlet study
sets and to identify the preferred game-based
study tool. The data showed a consistent year-
on-year increase in usage of game-based study
tools by 50% (M=445 in 2018 compared to
M=849 in 2021). For the four Quizlet study
P. L. Mishall (✉)
Departments of Pathology & Ophthalmology and Visual
Sciences, Albert Einstein College of Medicine, Bronx,
NY, USA
e-mail: priti.mishall@einsteinmed.edu
W. Burton
Department of Family and Social Medicine, Albert
Einstein College of Medicine, Bronx, NY, USA
M. Risley
Department of Developmental & Molecular Biology,
Albert Einstein College of Medicine, Bronx, NY, USA
#The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
E. Abdel Meguid et al. (eds.), Biomedical Visualisation, Advances in Experimental Medicine and
Biology 1406, https://doi.org/10.1007/978-3-031-26462-7_10
209
sets the percent usage of each study tool
Flashcards, Learn, Test, Match, Gravity, and
Speller was tracked and combined across the
four academic years. It was found that
Flashcards were used significantly more fre-
quently than any other tool and this was
followed by Learn, Test, Match, Gravity, and
Speller ( p<0.0001 using chi-square). The
study concludes that flashcards are the pre-
ferred study tool used by students to acquire
visual skills for identifying histological images
and could be incorporated when designing
online study tools.
210 P. L. Mishall et al.
Keywords
Medical histology · Game-based study tools ·
Flashcards · Visual skills
10.1 Introduction
Web-based self-testing resources are used by
students to improve recall and repetition.
Several online formative assessment tools are
available in the market like Anki, Quizlet, Study
Blue, and CRAM. These self-assessment
resources do not count toward students’grades,
hence ideal for formative assessments. These for-
mative assessments support multiple
opportunities to relearn and receive feedback
and prepare well for the summative assessments
that count toward the student grades. The self-
testing tools are based on the educational
principles of spaced repetition and spacing. Addi-
tionally, these self-assessment tools have an
intrinsic ability to self-test student knowledge
and provide students feedback on their perfor-
mance to promote self-directed and independent
learning. These self-assessment tools are used in
medical school coursework, especially for visu-
ally demanding subjects like histology or pathol-
ogy. These self-testing tools eventually become
an integral part of the hidden curriculum
(Vogelsang et al. 2018) Students who do not
have prior exposure to this new material use sup-
plementary resources to develop visual skills that
allow for repeated reviews to develop visual accu-
racy to identify microscopic images.
This chapter explores the use of an online
game-based study tool Quizlet by first-year medi-
cal students. Students used Quizlet as a supple-
mentary resource to review histology image sets.
This game-based online platform allows students
to hone their ability to identify a wide range of
histology images. Students used the Quizlet plat-
form to repeatedly review image sets until
students were confident in correctly identifying
the images. This study does not have a control
and experimental group and the study does not
measure the impact of the use of resources on
knowledge gain and retention. The study focuses
on the usage of study tools for 4 years
(Graduating Classes of 2018 to 2021) to calcu-
late: the total usage of the game-based study tools
(Flashcards, Learn, Speller, Test, Match, and
Race/Gravity) for 4 years, total percent usage of
game-based study tools (Flashcards, Learn,
Speller, Test, Match, and Race/Gravity) in each
of the four Quizlet study sets over 4 years and
finally to identify the preferred game-based
study tool.
10.1.1 Learning Resources that
Support Knowledge Retrieval
Formative assessment is critical for learning. Fre-
quent review of the course content by repetition
and recapitulation supports successful knowledge
retrieval (Jurjus et al. 2014,2016; Routt et al.
2015; Taveira-Gomes et al. 2015; Sun et al.
2021; Tsai et al. 2021). Several resources are
used by students to enhance learning, for exam-
ple, notes (Back et al. 2016; Luo et al. 2016;
McAndrew et al. 2016; Trelease 2016; Javaid
et al. 2018), drawings (Bell and Evans 2014;
Gheysens et al. 2017; Greene 2018; Shapiro
et al. 2020), concept maps (Muirhead 2006;
Demirdover et al. 2008; Karpicke and Blunt
2011; Thomas et al. 2016; Chen and Allen
2017), and Flashcards (Abramson et al. 2002;
Reilly 2011; Golding et al. 2012; Al-Rawi et al.
2015; Deng et al. 2015). Historically, the fre-
quency of repetition and timing of repetition has
been a matter of research for centuries.
Ebbinghaus described in 1800 that it is easier to
remember information when it is studied multiple
times over a long-time span rather than studied
once or a few times in a short time span
(Ebbinghaus 1913; Al-Rawi et al. 2015). This
principle is applied to study tools like Flashcards.
For example, a company called SuperMemo, a
commercial Flashcard program implemented
spaced repetition by keeping track of the ideal
time to review material, optimized based on the
performance of the user (Al-Rawi et al. 2015). In
the last two decades, students are using numerous
online platforms to review/self-test study material
to supplement their learning. There are several
benefits of online learning platforms:
10 Flashcards: The Preferred Online Game-Based Study Tool Self-Selected by... 211
(a) Learners have the flexibility to use the tools
anywhere and everywhere.
(b) The platform usually automatically
randomizes the content before the test. This
ensures that students are learning the material
and not simply the alphabetical order of the
content.
(c) The online quizzing platforms allow students
to self-assess their learning. Students receive
immediate feedback on the progress of
learning. This allows students to monitor and
modify their learning.
(d) The online learning platform is a self-testing
device that supplements self-directed learning.
(e) The online learning platform provides an
opportunity for interactivity. Interactivity is
achieved by providing learners with
opportunities for repetition and self-
assessment through immediate feedback
(Reilly 2011)
(f) The online learning platform supports
retrieval-based practice (Deng et al. 2015)
and spaced repetition (Al-Rawi et al. 2015;
Deng et al. 2015)
(g) The online learning platform promotes repe-
tition and active learning (Chariker et al.
2011; Reilly 2011)
10.1.2 Supplementary Learning
Resources and Educational
Principles
Generation Z students use a number of online
supplementary resources like Socrative, Kahoot,
Quizizz, Quizlet, Quizalize, Mentimeter, Blooket,
Riddle, and Brainscape (Kharbach 2022). These
supplementary resources become integral
components of the hidden curriculum (Hafferty
1998). The learning content of majority of these
supplementary resources is student-generated and
not always vetted for content accuracy by the
expert faculty. The popularity of a self-directed
supplementary resource is based on the ability of
resources to allow students to self-test (Abramson
et al. 2002; Kornell and Son 2009; McAndrew
et al. 2016), spaced repetition (Kerfoot et al.
2007; Deng et al. 2015; Lu et al. 2021; Hart-
Matyas et al. 2019), and interactivity (Sweller
1994; Betrancourt 2005; Kirschner 2002; Back
et al. 2016; Holland et al. 2016). Spaced repeti-
tion allows learners to remember information
when it is done multiple times over a long time
span rather than studying once or few times in a
short time span (Fig. 10.1). Interactivity refers to
the process of a user utilizing input devices to
activate technology to elicit some type of visual
or audio response (Sims 1997). It is found that
interactivity plays a key role in knowledge acqui-
sition and development of cognitive skills
(Friedman 1996; Sims 1997; McLean 2001;
Patel et al. 2006).
10.1.3 Use of Digital Platforms
for Histology and Pathology
Teaching
Histology and Pathology courses report the use of
several online instructional programs to support
students’visual learning in the coursework.
Hoffman et al. (1992) developed “PathPics”to
help students process the large volume of visual
information and then use a quiz mode to assess
their mastery of material (Hoffman et al. 1992).
Some universities have made Virtual slides online
for students and faculty to view (http://www.path.
uiowa.edu/virtualslidebox/). Campos-Sanchez
et al. (2014) describe the use of a video as an
audiovisual learning notebook as a self-learning
tool in histology (Campos-Sanchez et al. 2014).
Michigan’s“eHistology—A SecondLook Series”
published a self-evaluation tool by students, who
want to test their level of preparedness before
taking quizzes and examinations (Hortsch
2013). Another study describes the student
preferences for an e-learning resource
SecondLook TM as a self-review histology tool.
The study compared three interfaces, PowerPoint
files, an online website, and a mobile application,
and concluded that “Convenience,”“larger
screen,”and “easy to use”PowerPoint files were
the most popular (Bringman-Rodenbarger and
Hortsch 2020). A couple of others report
institute-specific histology resources in the form
of images and accompanying quizzes (Brelje and
Sorenson 2014; Lisa and Oana 2022). Addition-
ally, student-generated and self-directed image-
based self-testing resources (for example, Anki
and Quizlet)are in demand to acquire visual
identification skills in histology and pathology.
Anki decks present the image-based content in
only one testing mode that is as digital flashcards
(Lu et al. 2021). On the other hand, the Quizlet
game-based platform presents learners with six
different testing modes (Flashcards, Learn, Test,
Match, Gravity, and Speller) to self-test the
image-based content.
212 P. L. Mishall et al.
Review
Key
Spaced repetition
Traditional study patterns
Time
Memory retention
Review
Initial Exposure
Review
Review
Review
Summative Exams
Fig. 10.1 Comparison of exposures to knowledge with
spaced repetition and traditional techniques. This diagram
illustrates the early focus of traditional learning techniques
on amassing practice, which creates an initially strong
memory that ultimately decays without further revision.
By comparison, spaced repetition is known to effectively
distribute meaningful practice across time to reinforce
learning and slow the decay of memory, promoting long-
term retention. “From Jape et al. (2022), originally
published under CC BY 4.0”
10.1.4 Rationale for a Study
in Histology Education
on Student Usage of Various
Study Tools Offered by
an Online Web-Based Platform
Quizlet
The study of medical histology requires the inte-
gration of structure with physiology and pathol-
ogy. Structure is mostly at the light and electron
microscope levels. Thus, medical students are
expected to gain mastery in identifying tissues
and organs by recognizing their salient features.
Most medical students have little prior exposure
or no exposure to microscopic image-based
learning. Students are trained to recognize normal
and abnormal structure on digitized histological
slides. These digitized images represent light or
electron microscopic views of the structures.
10 Flashcards: The Preferred Online Game-Based Study Tool Self-Selected by... 213
Many times, students fail to identify the organs
or tissues correctly due to struggles with develop-
ing appropriate visual cues. The goal of histology
courses is to ensure that students confidently
identify organs and tissues by visualizing their
light and electron microscopic images. Students
in the histology course are trained to identify
hematoxylin and eosin (H&E) stained normal
histological tissues using visual cues. For exam-
ple, students learn to recognize the duodenum by
identifying the branched tubuloalveolar
Brunner’s glands in the submucosa or differenti-
ate a bronchus from a bronchiole by recognizing a
ring of hyaline cartilage in a bronchus compared
to the absence of cartilage in a bronchiole. First-
year medical students perceive learning and recall
of these varied microscopic images as very chal-
lenging (Garcia 2019). Therefore, students
demand resources that aid the development of
visual skills, especially a resource designed to
present microscopic images and test their ability
to correctly identify the image. Preferably, the
resource could repeatedly present diverse visual
images until the student gains confidence in
correctly identifying the microscopic tissue in
the image. Hence, online supplementary study
resources become critical because these resources
allow students for repeated review of microscopic
images in a self-paced manner. Histology @Yale
is a well-designed web-based open lab resource
that has images with multiple-choice questions;
however, this resource is not accompanied by
gaming study tools (Takizawa 2011). To review
the existing published articles a PubMed and
MedEdPortal search using the term “image-
based quiz tools for histology education”yielded
zero and seven results, respectively. The
inclusion criteria were preclerkship histology
education, quizzing tools, e-learning, and self-
assessments. In the MedEdPortal, six articles
were excluded because of their focus on anatomy
and dermatology education. Only one histopa-
thology e-learning histology tutorial on lymph
node fit the inclusion criteria. The authors of the
article used PowerPoint features to ask quizzes
but did not use an online quizzing platform (Soma
2016). None of these studies compared the use of
different study tools’effectiveness for self-
assessment in histology. Also, there is little data
as to which quizzing tool would be preferred by
students.
In the current study, students used the supple-
mentary resource on the Quizlet platform to
review histology image-based study sets that
provided more complete coverage of topics
included in the course, met diverse needs of
student’s example Visual, Aural and Read/
Write, and used current, relevant technology/
computer-assisted learning (CAL) that further
engaged interactive independent self-directed
learning. Additionally, the Quizlet program
allowed to track learner usage of the application.
However, none of the published literature reports
on the total usage of Quizlet study tools and the
preferred study tool self-selected by the learners.
10.2 Aims
First-year medical students at Albert Einstein
College of Medicine (Einstein) used six game-
based study tools namely Flashcards, Learn,
Test, Match, Gravity, and Speller offered by the
Quizlet platform to learn both light and electron
microscopy histology images. The goal of the
study was to determine the student usage of the
six game-based study tools to study image-based
histology study sets on the Quizlet platform. The
study aimed to investigate the usage of study
tools for 4 years (Graduating Classes of 2018 to
2021) to calculate: the total usage of the game-
based study tools (Flashcards, Learn, Speller,
Test, Match, and Race/Gravity), total percent
usage of each game-based study tool (Flashcards,
Learn, Speller, Test, Match, and Race/Gravity)
for each of the four Quizlet study sets and finally
to identify the preferred game-based study tool.
214 P. L. Mishall et al.
10.3 Methods
10.3.1 Participant Recruitment
First-year medical students for the Class 2018
(n=169), 2019 (n=172), 2020 (n=169), and
2021 (n=168) participated in the anonymous
retrospective study. The demographic data for
this larger cohort of students over a period of
4 years is similar. The study does not compare
between the gender differences or education or
prior knowledge of the participants. This was a
retrospective study approved by the institutional
review board of Einstein. All the participants
were deidentified.
10.3.2 Steps in Creation of Study Sets
Quizlet is an online platform that allows students
and teachers to create customized sets of learning
materials. Learners can review this study material
using eight different interactive study tools
namely Flashcards, Learn, Write, Spell, Test,
Match, and Gravity and Live. At Einstein
students did not use two study tools, namely
Write and Live. The study tool Write asked
students to type the name of the histological tissue
and the study tool Live allowed students to com-
pete live with students in another team in the
classroom setting. Note that the updated Quizlet
website in 2022 offers a fewer number of study
tools.
Considering student demand for a learning
resource in the first-year medical histology course
at Einstein, Bronx, NY the authors assessed vari-
ous online quizzing platforms and decided to use
Quizlet because of its ease to upload histological
images and its relatively cheap annual subscrip-
tion rate and ability to maintain the privacy of
institutionally copyrighted content.
The authors used the online gaming platform
Quizlet to create four image-based histology prac-
tice sets. Most of the study sets on the Quizlet
website are free for all registered users. In the
current study, the authors purchased the annual
subscription-based Quizlet for teacher’s services
($34.99). This service enabled faculty to track
student usage of study tools and provided
students with an advertisement-free study experi-
ence. The four-histology image-based study sets
were created. Here are the steps to create the
image-based library. First, the correct name of
the microscopic tissue was typed, and the
corresponding icon of the microscopic image
was uploaded. These microscopic tissue images
were selected from a diverse library of light or
electron microscopic images. The left column
shows the text, and the right column shows the
corresponding histological image (Fig. 10.2).
Four Quizlet study sets were created. Students
used the study sets as a supplementary study
resource as the histology course progressed.
1. Quizlet 1: Cell structure and organelles, Epi-
thelium, Connective tissue, Bone, and
Cartilage
2. Quizlet 2: Muscle, Nervous system, Blood,
and Lymphatic tissue
3. Quizlet 3: Skin, Digestive, and Endocrine
4. Quizlet 4: Respiratory, Urinary, Male and
Female Reproductive systems
The number of histological images in each
study set and class is listed in Table 10.1.
The study sets were placed in a password-
protected Class folder on the website to prevent
tampering or inaccuracies. Only course faculty
and the Quizlet creator had access to the Class
folders and ability to alter the image-based study
sets. A specific Class link to the Quizlet website
was posted on the learning management system.
Students used the link to sign up for a free
account on Quizlet.com. After students created
an account, an auto-generated email request
from the student account was sent to the course
faculty administrator. Upon the administrator
accepting the request, the student received access
to the specific Class study sets. This mechanism
ensured that only registered students received
access to the institutionally copy-righted histolog-
ical images in the study sets. After gaining access
to the specific Class study sets, students had the
flexibility to pick any or all the online study tools
to review image-based microscopic tissues and
hone their tissue identification skills.
Study set
10 Flashcards: The Preferred Online Game-Based Study Tool Self-Selected by... 215
Fig. 10.2 Shows Quizlet 3 study set. The upper part of
the study set shows the title of the study set. The top right
corner displays the study tools offered to learners to self-
select. Then there are two columns. The left column shows
the correct name of the histological image, and the right
column shows the corresponding histological image. This
data of diverse images from light and electron microscopy
is saved in the library
Students used the Quizlet platform as a sup-
plementary learning resource on a voluntary
basis. The authors did not restrict students from
creating their own study sets or use existing his-
tology study sets that were freely available. Fac-
ulty did not track the names of individual students
to maintain anonymity. Students freely choose
any of the study tools offered by the Quizlet
website to practice identification of the micro-
scopic images. Below is an overview of all
study tools:
The study tool Flashcards tests students’
knowledge by presenting a microscopic image
on the screen. Students use the space bar on the
screen to flip the flashcard and read the correct
answer. Students could also use the left and right
arrow keys to move between cards (Fig. 10.3a, b).
Table 10.1 The column on the left lists the number of Quizlet Study Sets and the column on the right shows the number
of images in each study set for the Class of 2018 and Classes 2019–2023
Number of images in each study set
Class 2018 Class 2019–Class 2021
Quizlet 1 74 53
Quizlet 2 85 85
Quizlet 3 56 56
Quizlet 4 44 44
The study tool Learn tests students’knowl-
edge of image identification by tracking which
images the student correctly identified and what
images the student did not correctly identify; the
software then retests them of their mistakes.
The study tool Test provides customized prac-
tice tests on any study set by generating a random
test by using images from the study sets and
presenting the image identification in multiple
format examples including matches, MCQs, and
true/false.
216 P. L. Mishall et al.
Fig. 10.3 (a) Study tool Flashcard. The screen shows an H&E-stained histological image. (b) Study tool Flashcard
(flipped). The screen shows the correct answer for (a)
The study tool Match presents on the screen a
random display of histology images and the cor-
rect answers. The study tool Match challenges the
student to drag the correct answer and drop it to
the correct image by using the computer mouse.
The study tool Match additionally allows students
to compete with friends and attempt to beat the
current record. This activity encourages students
to achieve accuracy in image identification in the
minimum amount of time (https://quizlet.com/en-
gb/help) (Fig. 10.4).
10 Flashcards: The Preferred Online Game-Based Study Tool Self-Selected by... 217
The study tool Gravity is like the classic space
invaders game where students try to prevent an
object, in this case an asteroid, from reaching the
earth by correctly entering the corresponding
name of the histological image in the text box.
The current study explores and discusses the
use of six study tools namely Flashcards, Learn,
Spell, Test, Match, and Gravity. At Albert
Einstein College of Medicine, students used
Quizlet as a supplementary learning resource
wherein students self-selected one or more of
these study tools to review the image content to
prepare for their formative assessments. The
Quizlet resource stored a library of histological
images aligned to the formative assessment quiz
topics in the course.
Data Analysis
Statistical analysis was performed using
Chi-square tests. Statistical analyses and interpre-
tation of data were conducted using the SPSS
statistical package, version 20 (IBM Corp,
Armonk, NY). This retrospective study was
approved by the institutional review board of
Einstein.
Data Protection
In this retrospective study, the data collection was
totally anonymous; no specific information which
may lead to the identification of an individual was
released. Concerning the course evaluation ques-
tionnaire, participants may choose to skip any
question they did not want to answer. Appropriate
data security procedures and precautions were
adopted so that data obtained were kept secured
in a password-protected computer with access
only by the researchers.
At the end of the histology course, each year
quantitative and qualitative data was collected.
The quantitative data collection focused on stu-
dent use of each study tool. Also, students rated
the overall Quizlet experience using the Likert
scale (1–4). The qualitative data collection was
in form of student comments on the overall
Quizlet experience. The data was collected for
the following four Classes (Class 2018, 2019,
2020, and 2021). Statistical analyses were
performed, and p-values were calculated. The
statistical test used was a Chi-square homogene-
ity of variance test.
Results
1. The overall usage of the game-based study
tools Over the 4-year period.
The mean logins (M) on the Quizlet website
for the four Classes was as follows: Class of
2018 (M=445); Class 2019 (M=650); Class
of 2020 (M=955); and Class of 2021
(M=849), respectively (Fig. 10.5).
2. The percent usage of the study tools for each
Quizlet study set (n=4) over the 4-year period
For the four Quizlet study sets 1, 2, 3, and
4, the percent usage of each study tool
Flashcards, Learn, Test, Match, Gravity, and
Speller was tracked and combined across the
four academic years. It was found that
Flashcards were used significantly more fre-
quently used than any other tool and this was
followed by Learn, Test, Match, Gravity, and
Speller ( p<0.0001 using chi-square)
(Fig. 10.6).
3. Identify the preferred study tool self-selected
by learners to review the histology image-
based content.
It was also found that the students’use of
Flashcards was significantly greater compared
to their use of all other study tools combined
(Fig. 10.7). This was true for academic years
2018 ( p=0.004), 2019 ( p<0.0001), 2020
(p=0.007), and 2021 ( p<0.0001).
4. Student perception on the use of the Quizlet to
learn histology
In the course evaluations, students’response to
the Quizlet experience for the three graduation
classes were collected, except for the Class of
2020. Students responded to the statement
“The online Quizlet study tool aided my self-
assessment in studying histology.”The ratings
were as follows graduating class 2018 (3.86/
5), 2019 (3.3/4), and 2021 (3.5/4). The course
was evaluated out of 4 for all years except
2018. The qualitative data was analyzed, and
themes were identified; comments and
recommendations are in Table 10.2.
218 P. L. Mishall et al.
Fig. 10.4 Shows the study tool Match. The screen presents a random display of histology images and the correct
answers. The student is required to drag the correct answer to the corresponding histological image or vice versa
Fig. 10.5 The use of Quizlet tended to increase over the
4 years of the study, though use tended to decline within
each year. The x-axis shows the Quizlet study sets and the
y-axis shows total student usage (M =mean log-ins on the
Quizlet website)
10 Flashcards: The Preferred Online Game-Based Study Tool Self-Selected by... 219
Fig. 10.6 Flashcards were the most popular study tools.
The x-axis shows the different study tools while the y-axis
indicates the percent use of each study tool. Flashcard use
increased from Quizlet 1–3 as the course progressed and
remained high for Quizlet 4. It was revealed that within the
4 Quizlet study sets, Quizlet 3 reflected the maximum use
of the Flashcards study tool (70% of usage across all six
study tools)
Fig. 10.7 Flashcards became the preferred study tool over all other Study Tools combined. The x-axis shows the Quizlet
study sets. The y-axis shows percent usage of study tools
Recommendations by students
220 P. L. Mishall et al.
Table 10.2 Qualitative data in form of Student feedback to the question “The online Quizlet study tool aided my self-
assessment in studying histology”
Student comments on the statement “The online Quizlet study tool aided
my self-assessment in studying histology”
•Good for identifying organs and structures. •More general knowledge questions
•Provided collection of images with randomized order (instead of needing
to go through each lab or the textbook)
•Go over vocabulary
•Very nice supplementation to the course. •More images
•Really enjoyed it as a final preparation before quizzes and tests to know
for sure that I know the material.
•More questions
•Helpful in practicing identification. •Divide them into each topic and give
multiple chapters to study
•Excellent tool.
•Good resource
10.4 Discussion
10.4.1 Introduction
The current study demonstrated that the cohort of
preclinical first-year medical students at a US
medical school who used the online game-based
learning platform Quizlet as a supplementary
resource to review histological image identifica-
tion reported flashcards as the most popular study
tool. The study demonstrated that in the duration
of 4 years the student use of flashcards for all the
Quizlet study sets was higher than the combined
use of all other study tools: Learn, Test, Match,
Gravity, and Speller. There was an increase in the
use of Quizlet study sets each year, although,
there was a decrease in the use of Quizlet study
sets within the same year. Additionally, students
reported an overall higher satisfaction with the
use of Quizlet as a supplementary study tool to
review histological image identifications.
10.4.2 Use of Game-Based Study Tools
in Medical School
A number of studies reveal the use of supplemen-
tary learning resources in medical school Anki
(https://apps.ankiweb.net), Firecraker (2015),
Study Blue, 2011 (Chegg 2003), ALERT STU-
DENT platform (Taveira-Gomes et al. 2015).
Many studies have shown that interactive instruc-
tional techniques can increase student interest,
cognitive processing, and curricular integration
(Bills 1997; Leong et al. 2003; Gould et al.
2008; Khalil et al. 2010). The current study
found that the year-to-year use of Quizlet study
tools to review image-based content for the his-
tology course was increased by almost 50%
(M=445 in 2018 compared to M=849 in
2021). This increase can be attributed to
recommendations by senior-year students.
Although authors do not have data on prior expo-
sure of students to online game-based tools in
undergraduate college, it is highly likely that
students who might have previously used a
game-based study tool would tend to use similar
study tools in future for their learning purposes
(Erhel and Jamet 2013). Within each year, there
was a decline in usage of Quizlet, and that might
be related to familiarity with the course content.
As the course progressed students became famil-
iar with the learning resources that they may
prefer over Quizlet.
10.4.3 Flashcards Versus Other
Game-Based Study Tools
A few examples of digital FCs include Anki,
Cram, Open cards, Osmosis, and Quizlets (Hart-
Matyas et al. 2019). Flashcards were reported to
be commonly used in undergraduate colleges
(Kornell and Bjork 2008) and allied health pro-
fessional schools (Al-Rawi et al. 2015;
McAndrew et al. 2016; Wanda et al. 2016). A
couple of publications reported on the use of
flashcards as a study tool in medical schools
(Allen et al. 2008; Taveira-Gomes et al. 2015).
None of these studies compared the use of
flashcards to other study tools. The current study
compared student usage of flashcards to other
study tools and reported that the study tool
Flashcards were used significantly higher
(p<0.0001 using chi-square) and was followed
by other study tools Learn, Test, Match, Gravity,
and Speller. The present study is unique in com-
paring the use of flashcards to other study tools
while the previously published studies reported
on electronic FCs as a singular study tool.
10 Flashcards: The Preferred Online Game-Based Study Tool Self-Selected by... 221
10.4.4 Flashcard Use and Popularity
in Higher Education
and Professional Training
Traditional paper-based flashcards are popular in
undergraduate colleges (Golding et al. 2012). The
use of digital flashcards was reported in a number
of training specialties; examples include a dental
hygiene school to study oral pathology (Al-Rawi
et al. 2015), graduate school to study molecular
and cell biology (Taveira-Gomes et al. 2015),
degree courses like pharmacy school to study
brand and generic drug names (Whitman et al.
2019) and medical school to study clinical
nephrology and psychiatry (Allen et al. 2008;
Schmidmaier et al. 2011; Deng et al. 2015) and
recently digital flashcards were reported to be
used in postgraduate medical training like
OBGYN (Tsai et al. 2021) and Orthopedics
(Lambers and Talia 2021).
FCs work best with questions that require
lower-order thinking skills, such as memorization
of specific facts (Anderson and Krathwohl 2001;
Schmidmaier et al. 2011). O’Hanlon and Laynor
(2019) published a commentary on a new genera-
tion of online study resources and mentioned sites
like SketchyMedical and Picnomic that use visual
learning mnemonics (O’Hanlon and Laynor
2019). None of these publications reported on
the use of flashcards for visual image-based
learning including histology in medical school
training. The current study reveals FCs as the
most popular Quizlet study tool.
The popularity of flashcards is supported and
attributed to the following features of flashcards:
Self-testing (Wissman et al. 2012; Abramson
et al. 2002), learning by doing (Bryson 2012),
and spaced repetition (Al-Rawi et al. 2015;
Deng et al. 2015). It is found that self-testing
and retesting of the learned content at regular
intervals help to monitor learning. Wissman
et al. (2012) surveyed a large cohort of under-
graduate students (n=374) to find out students
self-testing behaviors in terms of the amount of
practice using flashcards and retesting by using
flashcards (Wissman et al. 2012). The survey
concluded that students understood that the
amount of practice was relevant to learning but
failed to understand the importance of practicing
with longer lag periods (Wissman et al. 2012). In
a study by Kornell and Son (2009), the authors
asked learners why they chose to self-test during
study (Kornell and Son 2009). Sixty-six percent
of learners reported self-testing to determine how
well they knew the information, whereas 20%
said because they learn more when they restudy.
The ability of resources to provide in-built spaced
repetition and interactivity is crucial for self-
testing and quizzing. Another study on repetitive
testing and repetitive studying revealed that repet-
itive testing promoted better recall than repetitive
studying after 1 week ( p<0.001) (Schmidmaier
et al. 2011). Similar findings were reported in
another study wherein the testing effect played
an important role in memory retention. The study
concluded that after an initial contact with the
material, it is more beneficial to test rather than
re-study the material (Karpicke and Roediger
2008; Taveira-Gomes et al. 2015). Bryson
(2012) in his commentary listed different
websites that supported the making of flashcards
to learn anatomy and physiology and, argued that
the process of creating own flashcard is an active
learning process like taking lecture notes or draw-
ing concept maps and can immensely benefit the
learner (Bryson 2012). Space repetition is another
study technique that supports the active recall of
the content. Flashcards support spaced repetition
by allowing to review and recall information at
optimal spacing intervals until the information is
learned sufficiently to recall (Al-Rawi et al. 2015;
Deng et al. 2015). In a study that surveyed dental
hygiene students and predoctoral dental students
toward their attitudes on the use of an electronic
flashcard system called Anki to study case-based
questions concluded that 25% of students from
dental college and 33% of students’dental
hygiene who took advantage of automated spaced
repetition were most benefitted (Al-Rawi et al.
2015).
222 P. L. Mishall et al.
10.4.5 The Learner Experiences
Overall, students were satisfied with the use of
Quizlet as a supplementary learning resource
which is consistent with another study in a degree
pharmacy college that investigated the student
experience of the Quizlet study tool (Whitman
et al. 2019). Perception scores suggest strong
agreement to the statement “The online Quizlet
study tool aided my self-assessment in studying
histology.”The student comments strongly sug-
gest that the study tools within Quizlet were well
received, and students interacted with the
resource to gain learning engagement.
10.4.6 Future Works
Further studies need to investigate the use of
Quizlet to study image-based content and its
impact on student performance in terms of knowl-
edge gain both short term and long term. Another
interesting study might be to design a control and
experimental group to find out if learning out-
come differs between students who use the
Quizlet platform compared to those who do not.
10.4.7 Conclusion
The online image-based study tools allowed
students to enhance learning by repetition and
recapitulation which was critical for formative
assessments. The data presented indicates a
strong student preference for flashcards as a tool
to learn and study visual content. The study
highlights the need for faculty to use
evidence-based approaches to design study
tools that promote self-testing in a self-paced
manner. We found that overall, Quizlet is a
well-received modality for learning image recog-
nition. We recommend that medical educators
incorporate flashcards when designing online
study tools.
Website resources for creating and generating
tests:
Easy TestMaker (easytestmaker.com)
Help teaching (www.helpteaching.com)
Brainscape (https://www.brainscape.com/packs/
histology-images-1313066?origin=genome)
Iowa Virtual Slidebox (http://www.path.uiowa.
edu/virtualslidebox/)
Quizlet https://quizlet.com/en-gb/help
Anki (https://apps.ankiweb.net)
References
Abramson CI, Robinson EG, Rice J et al (2002) An easy-
to-use word processing program for creating concept
cards in psychology courses: a method for teachers.
Psychol Rep 90(3 Pt 1):968–974
Allen EB, Walls RT, Reilly FD (2008) Effects of interac-
tive instructional techniques in a web-based peripheral
nervous system component for human anatomy. Med
Teach 30(1):40–47
Al-Rawi W, Easterling L, Edwards PC (2015) Develop-
ment of a mobile device optimized cross platform-
compatible oral pathology and radiology spaced repe-
tition system for dental education. J Dent Educ 79(4):
439–447
Anderson LW, Krathwohl DR (2001) A taxonomy for
learning, teaching and assessing: a revision of Bloom’s
taxonomy of educational objectives. Longman,
New York
Back DA, Behringer F, Haberstroh N et al (2016) Learning
management system and e-learning tools: an experi-
ence of medical students’usage and expectations. Int J
Med Educ 7:267–273
Bell LTO, Evans DJR (2014) Art, anatomy, and medicine:
is there a place for art in medical education? Anat Sci
Educ 7(5):370–378
Betrancourt M (2005) The animation and interactivity
principles in multimedia learning. In: Mayer R
(ed) The Cambridge handbook of multimedia learning.
Cambridge University Press, New York, NY, pp
287–296
Bills CG (1997) Effects of structure and interactivity on
internet-based instruction. Report no. Report Number|,
Date. Place Published|: Institution|
10 Flashcards: The Preferred Online Game-Based Study Tool Self-Selected by... 223
Brelje TC, Sorenson RL (2014) Atlas of human histology:
a guide to microscopic structure of cells, tissues and
organs. http://histologyguide.com/index/index-A.html.
Accessed 24 Feb
Bringman-Rodenbarger L, Hortsch M (2020) How
students choose E-learning resources: the importance
of ease, familiarity, and convenience. FASEB Bioadv
2(5):286–295
Bryson D (2012) Using flashcards to support your
learning. J Vis Commun Med 35(1):25–29
Campos-Sanchez A, Lopez-Nunez JA, Scionti G et al
(2014) Developing an audiovisual notebook as a self-
learning tool in histology: perceptions of teachers and
students. Anat Sci Educ 7(3):209–218
Chariker JH, Naaz F, Pani JR (2011) Computer-based
learning of neuroanatomy: a longitudinal study of
learning, transfer, and retention. J Educ Psychol
103(1):19–31
Chegg I (2003) Study blue. https://www.chegg.com/
flashcards?referrer=https://www.studyblue.com.
Accessed 12 Nov
Chen W, Allen C (2017) Concept mapping: providing
assessment of, for, and as learning. Med Sci Educ
27(2):149–153
Demirdover CYM, Vayvada H, Atabey A, Eylul A (2008)
Comparison of learning with concept maps and classi-
cal methods among medical students. In: Cañas AJ,
Åhlberg M, Novak JD (eds) Concept mapping:
connecting educators
Deng F, Gluckstein JA, Larsen DP (2015) Student-
directed retrieval practice is a predictor of medical
licensing examination performance. Perspect Med
Educ 4(6):308–313
Ebbinghaus H (1913) Memory: a contribution to experi-
mental psychology. 1885. Teachers College,
New York
Erhel S, Jamet E (2013) Digital game-based learning:
impact of instructions and feedback on motivation
and learning effectiveness. Comput Educ 67:156–167
Firecraker L (2015) Firecracker | learn faster, remember
everything. https://www.firecracker.me/. Accessed
7 Nov
Friedman RB (1996) Top ten reasons the world wide web
may fail to change medical education. Acad Med
71(9):979–981
García M, Victory N, Navarro-Sempere A et al (2019)
Students’views on difficulties in learning histology.
Anat Sci Educ 12(5):541–549
Gheysens K, Lebeau R, Glendinning D (2017) Teaching
spinal cord neuroanatomy through drawing: an inter-
active, step-wise module. MedEdPORTAL 13:10592
Golding JM, Wasarhaley NE, Fletcher B (2012) The use of
flashcards in an introduction to psychology class.
Teach Psychol 39(3):199–202
Gould DJ, Terrell MA, Fleming J (2008) A usability study
of users’perceptions toward a multimedia computer-
assisted learning tool for neuroanatomy. Anat Sci Educ
1(4):175–183
Greene SJ (2018) The use and effectiveness of interactive
progressive drawing in anatomy education. Anat Sci
Educ 11(5):445–460
Hafferty FW (1998) Beyond curriculum reform:
confronting medicine's hidden curriculum. Acad Med
73(4):403–407
Hart-Matyas M, Taylor A, Lee HJ et al (2019) Twelve tips
for medical students to establish a collaborative
flashcard project. Med Teach 41(5):505–509
Hoffman HM, Irwin AE, Ligon RG (1992) PathPics: an
image-based instructional program used in the pathol-
ogy and histology curriculum and transmitted over a
wide area network. Proc Annu Symp Comput Appl
Med Care 1992(01/01):796–797
Holland J, Clarke E, Glynn M (2016) Out of sight, out
of mind: do repeating students overlook online course
components? Anat Sci Educ 9(6):555–564
Hortsch M (2013) Virtual biology: teaching histology in
the age of Facebook. FASEB J 27(2):411–413
Jape D, Zhou J, Bullock S (2022) A spaced-repetition
approach to enhance medical student learning and
engagement in medical pharmacology. BMC Med
Educ 22(1):337
Javaid MA, Chakraborty S, Cryan JF et al (2018) Under-
standing neurophobia: reasons behind impaired under-
standing and learning of neuroanatomy in cross-
disciplinary healthcare students. Anat Sci Educ 11(1):
81–93
Jurjus RA, Lee J, Ahle S et al (2014) Anatomical knowl-
edge retention in third-year medical students prior to
obstetrics and gynecology and surgery rotations. Anat
Sci Educ 7(6):461–468
Jurjus RA, Brown K, Goldman E et al (2016) Curricular
response to increase recall and transfer of anatomical
knowledge into the obstetrics/gynecology clerkship.
Anat Sci Educ 9(4):337–343
Karpicke JD, Blunt JR (2011) Retrieval practice produces
more learning than elaborative studying with concept
mapping. Science 331(6018):772–775
Karpicke JD, Roediger HL (2008) The critical importance
of retrieval for learning. Science 319(5865):966–968
Kerfoot BP, DeWolf WC, Masser BA et al (2007) Spaced
education improves the retention of clinical knowledge
by medical students: a randomised controlled trial.
Med Educ 41(1):23–31
Khalil MK, Nelson LD, Kibble JD (2010) The use of self-
learning modules to facilitate learning of basic science
concepts in an integrated medical curriculum. Anat Sci
Educ 3(5):219–226
Kharbach M (2022) Educastional technology and mobile
learning. https://www.educatorstechnology.com/2014/
02/10-useful-web-tools-for-creating-online.html.
Accessed 6 Nov
Kirschner PA (2002) Cognitive load theory: implications
of cognitive load theory on the design of learning.
Learn Instr 12(1):1–10
Kornell N, Bjork RA (2008) Optimising self-regulated
study: the benefits - and costs - of dropping flashcards.
Memory 16(2):125–136
224 P. L. Mishall et al.
Kornell N, Son LK (2009) Learners' choices and beliefs
about self-testing. Memory 17(5):493–501
Lambers A, Talia AJ (2021) Spaced repetition learning as
a tool for orthopedic surgical education: a prospective
cohort study on a training examination. J Surg Educ
78(1):134–139
Leong SL, Baldwin CD, Adelman AM (2003) Integrating
web-based computer cases into a required clerkship:
development and evaluation. Acad Med 78(3):
295–301
Lisa L, Oana R (2022) University of Colorado: virtual
histology Lab. http://leeshistology.com/slides/human/
general/neural/31#!/lat=-130&lng=-99.5&zoom=0
Lu M, Farhat JH, Beck Dallaghan GL (2021) Enhanced
learning and retention of medical knowledge using the
Mobile flash card application Anki. Med Sci Educ
31(6):1975–1981
Luo L, Kiewra KA, Samuelson L (2016) Revising lecture
notes: how revision, pauses, and partners affect note
taking and achievement. Instr Sci 44(1):45–67
McAndrew M, Morrow CS, Atiyeh L et al (2016) Dental
student study strategies: are self-testing and scheduling
related to academic performance? J Dent Educ 80(5):
542–552
McLean M (2001) Web pages: an effective method of
providing CAI resource material in histology. Med
Teach 23(3):263–269
Muirhead B (2006) Creating concept maps: integrating
constructivism principles into online classes. Int J
Instruct Technol Distance Learn 3(1):17–30
O’Hanlon R, Laynor G (2019) Responding to a new gen-
eration of proprietary study resources in medical edu-
cation. J Med Libr Assoc 107(2):251–257
Patel SG, Rosenbaum BP, Chark DW et al (2006) Design
and implementation of a web-based, database-driven
histology atlas: technology at work. Anat Rec B New
Anat 289(5):176–183
Reilly FD (2011) Outcomes from building system course-
ware for teaching and testing in a discipline-based
human structure curriculum. Anat Sci Educ 4(4):
190–194
Routt E, Mansouri Y, de Moll EH et al (2015) Teaching
the simple suture to medical students for long-term
retention of skill. JAMA Dermatol 151(7):761–765
Schmidmaier R, Ebersbach R, Schiller M et al (2011)
Using electronic flashcards to promote learning in
medical students: retesting versus restudying. Med
Educ 45(11):1101–1110
Shapiro L, Bell K, Dhas K et al (2020) Focused multisen-
sory anatomy observation and drawing for enhancing
social learning and three-dimensional spatial under-
standing. Anat Sci Educ 13(4):488–503
Sims R (1997) Interactivity: a forgotten art? Comput Hum
Behav 13(2):157–180
Soma L (2016) Interactive tutorial of normal lymph node
histology for pathology and laboratory medicine
residents and medical students. MedEdPORTAL
12:10513
Sun M, Tsai S, Engle DL et al (2021) Spaced repetition
flashcards for teaching medical students psychiatry.
Med Sci Educ 31(3):1125–1131
Sweller J (1994) Cognitive load theory, learning difficulty,
and instructional design. Learn Instr 4(4):295–312
Takizawa PA (2011) Histology @Yale. Available at:
http://medcell.org/histology/histology.php
Taveira-Gomes T, Prado-Costa R, Severo M et al (2015)
Characterization of medical students recall of factual
knowledge using learning objects and repeated testing
in a novel e-learning system. BMC Med Educ 15:4
Thomas L, Bennett S, Lockyer L (2016) Using concept
maps and goal-setting to support the development of
self-regulated learning in a problem-based learning
curriculum. Med Teach 38:930
Trelease RB (2016) From chalkboard, slides, and paper to
e-learning: how computing technologies have
transformed anatomical sciences education. Anat Sci
Educ 9(6):583–602
Tsai S, Sun M, Asbury ML et al (2021) Novel spaced
repetition flashcard system for the in-training examina-
tion for obstetrics and gynecology. Med Sci Educ
31(4):1393–1399
Vogelsang M, Rockenbauch K, Wrigge H et al (2018)
Medical education for “generation Z”: everything
online?! - An analysis of internet-based media use by
teachers in medicine. GMS J Med Educ 35(2):Doc21
Wanda D, Fowler C, Wilson V (2016) Using flash cards to
engage Indonesian nursing students in reflection on
their practice. Nurse Educ Toda 38:132–137
Whitman AC, Tanzer K, Nemec EC 2nd (2019)
Gamifying the memorization of brand/generic drug
names. Curr Pharm Teach Learn 11(3):287–291
Wissman KT, Rawson KA, Pyc MA (2012) How and
when do students use flashcards? Memory 20(6):
568–579