Fig 3 - uploaded by Mohammed Abdullah Alshehri
Content may be subject to copyright.
Source publication
Objectives:
The purpose of this study was to review the clinical applications of CBCT in deferent dental disciplines.
Methods:
A Pub Med search was conducted from 1 January 1998 to 15 July 2010. Cone-beam computerized tomography in dentistry was used as a keyword to widespread the search of CBCT imaging to different dental disciplines clinica...
Similar publications
Background:
The COVID-19 pandemic has changed the way dentistry has been practiced the world over. This study sought to assess the impact of the COVID-19 pandemic on the patterns of attendance for dental treatment in a large hospital in Kuwait through comparisons with data from the year prior to the pandemic.
Methods:
A total of 176,690 appointm...
is one of the most important sections in a research article (RA) because it is the first section researchers read to determine whether it is relevant to their research. The abstract provides an overview or summary of the entire article. In the dentistry discipline, the RA abstract can either be structured using headings or written as a summary. How...
Background and aim
Radiographic assessment is an important diagnostic tool in dental practice.Cone beam computed tomography (CBCT) is among the most important imaging examinations. By providing multiplanar visualization of the maxillofacial region, CBCT enables practitioners to assess various conditions three-dimensionally. CBCT is utilized in diff...
Background: The purpose of the current study was to actualization, the relationship of condyle-fossa position, in clinically symptomatic untreated in first dental special center in baquba, and by cone-beam computed tomography (CBCT). Objectives: Cone-beam computed tomography was superior to conventional radiography and conventional tomography for e...
Introduction:
Assessment of students' perspective is an essential element in effective educational quality evaluation. By identifying strengths and weaknesses, it leads to improvement in future performance.
Methods:
This cross-sectional study was performed through a questionnaire comprising 23 questions. Reliability was assessed using α-Chronbac...
Citations
... Subsequently, the CBCT technology underwent gradual integration into radiology and experienced widespread adoption within the dental field. It found extensive utility in various dental disciplines, including maxillofacial applications, implant design, assessing periodontal defects, supporting endodontic procedures, and aiding in orthodontics [2]. Over the past fifteen years, advancements in scanner-based 3D-modeling technologies [3], such as CBCT, have played a crucial role in aiding the diagnosis of certain diseases and the creation of personalized scaffolds (bone grafts) for medical purposes, particularly in the context of bone regeneration, by utilizing patient-specific anatomical data. ...
The treatment of osseous defects around teeth is a fundamental concern within the field of periodontology. Over the years, the method of grafting has been employed to treat bone defects, underscoring the necessity for custom-designed scaffolds that precisely match the anatomical intricacies of the bone cavity to be filled, preventing the formation of gaps that could allow the regeneration of soft tissues. In order to create such a patient-specific scaffold (bone graft), it is imperative to have a highly detailed 3D representation of the bone defect, so that the resulting scaffold aligns with the ideal anatomical characteristics of the bone defect. In this context, this article implements a workflow for designing 3D models out of patient-specific tissue defects, fabricated as scaffolds with 3D-printing technology and bioabsorbable materials, for the personalized treatment of periodontitis. The workflow is based on 3D modeling of the hard tissues around the periodontal defect (alveolar bone and teeth), scanned from patients with periodontitis. Specifically, cone beam computed tomography (CBCT) data were acquired from patients and were used for the reconstruction of the 3D model of the periodontal defect. The final step encompasses the 3D printing of these scaffolds, employing Fused Deposition Modeling (FDM) technology and 3D-bioprinting, with the aim of verifying the design accuracy of the developed methodοlogy. Unlike most existing 3D-printed scaffolds reported in the literature, which are either pre-designed or have a standard structure, this method leads to the creation of highly detailed patient-specific grafts. Greater accuracy and resolution in the macroarchitecture of the scaffolds were achieved during FDM printing compared to bioprinting, with the standard FDM printing profile identified as more suitable in terms of both time and precision. It is easy to follow and has been successfully employed to create 3D models of periodontal defects and 3D-printed scaffolds for three cases of patients, proving its applicability and efficiency in designing and fabricating personalized 3D-printed bone grafts using CBCT data.
... Dentistry is increasingly using cone beam computed tomography (CBCT), including in implant dentistry (Tyndall et al., 2012;Gupta and Ali, 2013;Bornstein et al., 2014), endodontics (Lofthag-Hansen et al., 2007;Patel, 2009;Janner et al., 2011), oral and maxillofacial surgery (Alamri et al., 2012), periodontics (Walter et al., 2009;De Faria Vasconcelos et al., 2012), orthodontics (Van Vlijmen et al., 2012;Machado, 2015), and temporomandibular joint disorders (Alamri et al., 2012). ...
... Dentistry is increasingly using cone beam computed tomography (CBCT), including in implant dentistry (Tyndall et al., 2012;Gupta and Ali, 2013;Bornstein et al., 2014), endodontics (Lofthag-Hansen et al., 2007;Patel, 2009;Janner et al., 2011), oral and maxillofacial surgery (Alamri et al., 2012), periodontics (Walter et al., 2009;De Faria Vasconcelos et al., 2012), orthodontics (Van Vlijmen et al., 2012;Machado, 2015), and temporomandibular joint disorders (Alamri et al., 2012). ...
This study evaluated the accuracy of cone beam computed tomography (CBCT) measurements using post-surgical, implant placement, CBCT images by measuring the length and width of implants on CBCT images and comparing these measurements to the actual sizes of the implants, as well as investigated critical anatomical structure injuries after using CBCT for planning. Ninety-six post-operative CBCT scans of 171 dental implants, placed between October 2012 and March 2015, were included in the study. Each implant was measured on the CBCT images for both diameter and length, using the measuring tool in the CBCT software. The measured values were compared with the actual implant diameters and lengths and calculated as a percentage of error. The mean percentage of error was 2.26%. There were no significant differences in percentage of error between implant size, implant diameters, implant positions, upper jaw, lower jaw, anterior area, or posterior area (p>0.05). Anatomical structure injuries were not found post-operatively. The accuracy of CBCT used for measurement in this study was 97.74%, and comparable to that reported for other commercial CBCT machines. The use of CBCT for implant planning can avoid anatomical structure injuries.
... [8] There are, however, some important disadvantages as well, such as susceptibility to movement artifacts, amalgam and metallic restoration artifacts, low-contrast resolution, limited capability to visualize internal soft tissues, and owing to distortion of Hounsfield units, CBCT cannot be used for the estimation of bone density. [9] There are few studies conducted on the prevalence and intraoral distribution of infrabony lesions. The objective of the present study was to evaluate the prevalence and distribution of bone defects associated with chronic periodontitis using CBCT in relation to age, sex, arch, and segments so that the prognosis of treatment of bony lesions can be assessed. ...
... Patients were divided into four different age groups: <30, 31-39, 40-49, and >50 years. [9] CBCT images with unclear visibility of anatomical landmarks that is cementoenamel junction (CEJ), alveolar bone crest, or tooth apex were excluded from this study. CBCTs were obtained using CS 9300 3D digital imaging system from Carestream Dental. ...
Aim: Evaluation of the prevalence and distribution of bone defects associated with chronic periodontitis using cone-beam computed tomography (CBCT). Materials and Methods: CBCT of 100 patients diagnosed with generalized chronic periodontitis was evaluated for the prevalence and distribution of bone defects based on age groups ( 50 years), jaw segments, and gender. Results: The prevalence and distribution of bone defects associated with different age groups, jaw segments, and gender was evaluated. Out of 2484 teeth which were examined, 2064 teeth were having bone defect; therefore, the prevalence of bone defects was 83.1%. The degree of bone loss was 57.8% in males and 42.2% in females. Severity of bone defects increases with age. The study showed that bone defects were more in maxillary arch than mandibular and more in posterior segments than the anterior segments. Conclusion: CBCT can assess early detection of periodontal disease, thereby applying all primary preventive measures for periodontal disease. It gives a clear understanding of the morphology of alveolar bone loss in chronic periodontitis patients which helps design appropriate regenerative periodontal therapy, thereby preventing tooth mobility and tooth loss. Clinical Relevance to Interdisciplinary Dentistry It is necessary to study the prevalence and distributions of different bone defects by localization as variation in the occurrences of defects is present in the same mouth. It may also provide the clues in determining the pathology behind the particular pattern of occurrences of defects in different segments. according to literatue, as CBCT is accurate as clinical measurement, it can be used for evaluating prevalence and distribution of bone defects
... In addition, these systems are more compact than conventional CT systems, which make them more practical for use in dental offices. 5 Currently CBCT has a wide range of clinical applications and can be used for maxillofacial surgical treatment planning, assessing impacted teeth prior to surgical extractions, temporomandibular joint analysis, orthodontics, airway assessment, periodontics, bone level evaluation, implantology, endodontic assessment, diagnosis and treatment planning. 6 ...
Today, we are in a world of innovations, and there are various diagnostics aids that help to take a decision regarding treatment in a well-planned way. Cone beam computed tomography (CBCT) has been a vital tool for imaging diagnostic tool in orthodontics. This article reviews case reports during orthodontic treatment and importance of CBCT during the treatment evaluation.
... In addition to detecting the presence of resorption in cases of external root resorption, CBCT is superior in detecting the extent of these lesions also. 15 It can be used to measure the number of roots, to determine root morphology, root canals and accessory canals, and to establish their working lengths and angulations. It gives an accurate assessment of root canal fillings, helps in the detection of pulpal extensions in talon cusps and also helpful in detecting the position of fractured instruments. ...
Cone-beam computed tomography (CBCT) is an advanced imaging modality that has high clinical applications in the field of dentistry. CBCT proved to be a successful investigative modality that has been used for dental and maxillofacial imaging. Radiation exposure dose from CBCT is 10 times less than from conventional CT scans during maxillofacial exposure. Furthermore, CBCT is highly accurate and can provide a three-dimensional volumetric data in axial, sagittal and coronal planes. This article describes the basic technique, difference in CBCT from CT and main clinical applications of CBCT.
... CBCT has been used for preoperative and postoperative dental implant assessment. Preoperatively, it can accurately determine the quantity and quality of bone available for placement of implant [71,72] . It also provides more detailed and accurate information of the adjoining vital tissues, so that these could be protected during the placement of dental implant. ...
... Implantology CBCT has been used for preoperative and postoperative dental implant assessment. Preoperatively, it can accurately determine the quantity and quality of bone available for placement of implant [71,72] . It also provides more detailed and accurate information of the adjoining vital tissues, so that these could be protected during the placement of dental implant. ...
Dentistry has witnessed tremendous advances in all its branches over the past three decades. With these advances, the need for more precise diagnostic tools, specially imaging methods, have become mandatory. From the simple intra-oral periapical X-rays, advanced imaging techniques like computed tomography, cone beam computed tomography, magnetic resonance imaging and ultrasound have also found place in modern dentistry. Changing from analogue to digital radiography has not only made the process simpler and faster but also made image storage, manipulation (brightness/contrast, image cropping, etc.) and retrieval easier. The three-dimensional imaging has made the complex cranio-facial structures more accessible for examination and early and accurate diagnosis of deep seated lesions. This paper is to review current advances in imaging technology and their uses in different disciplines of dentistry.
Introduction
A standardised testing protocol for evaluation of a wide range of dental cone beam computed tomography (CBCT) performance and image quality (IQ) parameters is still limited and commercially available testing tool is unaffordable by some centres. This study aims to assess the performance of a low‐cost fabricated phantom for image quality assessment (IQA) of digital CBCT unit.
Methods
A customised polymethyl methacrylate (PMMA) cylindrical phantom was developed for performance evaluation of Planmeca ProMax 3D Mid digital dental CBCT unit. The fabricated phantom consists of four different layers for testing specific IQ parameters such as CT number accuracy and uniformity, noise and CT number linearity. The phantom was scanned using common scanning protocols in clinical routine (90.0 kV, 8.0 mA and 13.6 s). In region‐of‐interest (ROI) analysis, the mean CT numbers (in Hounsfield unit, HU) and noise for water and air were determined and compared with the reference values (0 HU for water and −1000 HU for air). For linearity test, the correlation between the measured HU of different inserts with their density was studied.
Results
The average CT number were −994.1 HU and −2.4 HU, for air and water, respectively and the differences were within the recommended acceptable limit. The linearity test showed a strong positive correlation ( R ² = 0.9693) between the measured HU and their densities.
Conclusion
The fabricated IQ phantom serves as a simple and affordable testing tool for digital dental CBCT imaging.
Background
CBCT imaging with field of views (FOVs) exceeding the size of scans acquired in the conventional imaging geometry, i.e. with opposing source and detector, is of high clinical importance for many medical fields. A novel approach for enlarged FOV scanning with one full‐scan (EnFOV360) or two short‐scans (EnFOV180) using an O‐arm system arises from non‐isocentric imaging based on independent source and detector rotations.
Purpose
The presentation, description, and experimental validation of this novel approach and the novel scanning techniques EnFOV360 and EnFOV180 for an O‐arm system forms the scope of this work.
Methods
We describe the EnFOV360, EnFOV180, and non‐isocentric imaging techniques for the acquisition of laterally extended FOVs. For their experimental validation, scans of dedicated quality assurance as well as anthropomorphic phantoms were acquired, with the phantoms being placed both within the tomographic plane and at the longitudinal FOV border with and without lateral shifts from the gantry center. Based on this, geometric accuracy, contrast‐noise‐ratio (CNR) of different materials, spatial resolution, noise characteristics, as well as CT number profiles were quantitatively assessed. Results were compared to scans performed with the conventional imaging geometry.
Results
With EnFOV360 and EnFOV180, we increased the in‐plane size of acquired FOVs from 250 × 250 mm² obtained for the conventional imaging geometry to up to 400 × 400 mm² for the performed measurements. Geometric accuracy was very high for all scanning techniques with mean values ≤0.21 ± 0.11 mm. CNR and spatial resolution were comparable between isocentric and non‐isocentric full‐scans as well as EnFOV360, whereas substantial image quality deteriorations in this respect were observed for EnFOV180. Image noise in the isocenter was lowest for conventional full‐scans with 13.4 ± 0.2 HU. For laterally shifted phantom positions, noise increased for conventional scans and EnFOV360, whereas noise reductions were observed for EnFOV180. Considering the anthropomorphic phantom scans, both EnFOV360 and EnFOV180 were comparable to conventional full‐scans.
Conclusion
Both enlarged FOV techniques have high potential for imaging laterally extended FOVs. EnFOV360 revealed an image quality comparable to conventional full‐scans in general. EnFOV180 showed an inferior performance particularly regarding CNR and spatial resolution.
Objectives:
East Carolina University School of Dental Medicine (ECU SoDM) has established a unique education model that delivers the dental curriculum through student rotations at community service learning centers (CSLCs) in underserved areas across North Carolina in their senior year. The objective of the study is to analyze the patient composition and CBCT prescription patterns at the main campus (Ross Hall) and eight CSLCs, to determine if students have comparable training at various sites.
Methods:
CBCTs taken at ECU SoDM in 2017-2021 were evaluated. One-way analysis of variance and the Wilcoxon Rank Sum Test were used to determine any differences in demographics, Medicaid coverage, and scan indications at various sites.
Results:
A total of 1444 patients were included, with an age range of 4-90 years old; male 685, female 758; 1130 non-Hispanic/Latino, 71 Hispanic/Latino. For races, Caucasian 1106, African-American 156, American Indian/Alaskan Native 32, Asian 18, mixed 13, other 73. For Medicaid, there are 75 with and 1369 without coverage. Ross Hall has the largest amount of patients at 537, followed by Davidson 218, Brunswick 189, and Lillington 169, with Elizabeth City being the least with 45 patients. The top four reasons for taking CBCTs were implants, endodontics, oral pathology, and 3rd molar assessment. There was no significant difference in the indications for CBCTs or Medicaid coverage, among various sites.
Conclusions:
The demographics, Medicaid coverage and CBCT prescription patterns were comparable among various sites. There was a site-related difference in the amount of scans taken, warranting the necessity to monitor CSLC rotation selections to ensure a consistent learning experience.
Purpose
Dental cone‐beam computed tomography (CBCT) has been increasingly used for dental and maxillofacial imaging. However, the presence of metallic inserts, such as implants, crowns, and dental braces, violates the CT model assumption, which leads to severe metal artifacts in the reconstructed CBCT image, resulting in the degradation of diagnostic performance. In this study, we used deep learning to reduce metal artifacts.
Methods
The metal artifacts, appearing as streaks and shadows, are nonlocal and highly associated with various factors, including the geometry of metallic inserts, energy‐dependent attenuation, and energy spectrum of the incident X‐ray beam, making it difficult to learn their complicated structures directly. To provide a step‐by‐step environment in which deep learning can be trained, we propose an iterative learning approach in which the network at each iteration step learns the correction error caused by the previous network, while enforcing the data fidelity in the projection domain. To generate a realistic paired training dataset, metal‐free CBCT scans were collected from patients without metallic inserts, and then simulated metal projection data were added to generate the corresponding metal‐corrupted projection data.
Results
The feasibility of the proposed method was investigated in clinical metal‐affected CBCT scans, as well as simulated metal‐affected CBCT scans. The results show that the proposed method significantly reduces metal artifacts while preserving the morphological structures near metallic objects and outperforms direct image domain learning.
Conclusion
The proposed fidelity‐embedded learning can effectively reduce metal artifacts in dental CBCT compared with direct image domain learning.
