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Computed Tomography as a Source of Electron Density Information for Radiation Treatment Planning

Authors:
  • Maria Sklodowska-Curie National Research Institute of Oncology

Abstract and Figures

To evaluate the performance of computed tomography (CT) systems of various designs as a source of electron density (rho(el)) data for treatment planning of radiation therapy. Dependence of CT numbers on relative electron density of tissue-equivalent materials (HU-rho(el) relationship) was measured for several general-purpose CT systems (single-slice, multislice, wide-bore multislice), for radiotherapy simulators with a single-slice CT and kV CBCT (cone-beam CT) options, as well as for linear accelerators with kV and MV CBCT systems. Electron density phantoms of four sizes were used. Measurement data were compared with the standard HU-rhoel relationships predefined in two commercial treatment-planning systems (TPS). The HU-rho(el) relationships obtained with all of the general-purpose CT scanners operating at voltages close to 120 kV were very similar to each other and close to those predefined in TPS. Some dependency of HU values on tube voltage was observed for bone- equivalent materials. For a given tube voltage, differences in results obtained for different phantoms were larger than those obtained for different CT scanners. For radiotherapy simulators and for kV CBCT systems, the information on rhoel was much less precise because of poor uniformity of images. For MV CBCT, the results were significantly different than for kV systems due to the differing energy spectrum of the beam. The HU-rho(el) relationships predefined in TPS can be used for general-purpose CT systems operating at voltages close to 120 kV. For nontypical imaging systems (e.g., CBCT), the relationship can be significantly different and, therefore, it should always be measured and carefully analyzed before using CT data for treatment planning.
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Computed Tomography as a Source of Electron Density
Information for Radiation Treatment Planning
Witold Skrzyn´ski1, Sylwia Zielin´ska-Da˛browska2, Marta Wachowicz2, Wioletta S
´lusarczyk-Kacprzyk1,
Paweł F. Kukołowicz2, Wojciech Bulski1
Purpose: To evaluate the performance of computed tomography (CT) systems of various designs as a source of electron density
(ρel) data for treatment planning of radiation therapy.
Material and Methods: Dependence of CT numbers on relative electron density of tissue-equivalent materials (HU-ρel relation-
ship) was measured for several general-purpose CT systems (single-slice, multislice, wide-bore multislice), for radiotherapy simu-
lators with a single-slice CT and kV CBCT (cone-beam CT) options, as well as for linear accelerators with kV and MV CBCT systems.
Electron density phantoms of four sizes were used. Measurement data were compared with the standard HU-ρel relationships
predefined in two commercial treatment-planning systems (TPS).
Results: The HU-ρel relationships obtained with all of the general-purpose CT scanners operating at voltages close to 120 kV were
very similar to each other and close to those predefined in TPS. Some dependency of HU values on tube voltage was observed
for bone- equivalent materials. For a given tube voltage, differences in results obtained for different phantoms were larger than
those obtained for different CT scanners. For radiotherapy simulators and for kV CBCT systems, the information on ρel was much
less precise because of poor uniformity of images. For MV CBCT, the results were significantly different than for kV systems due
to the differing energy spectrum of the beam.
Conclusion: The HU-ρel relationships predefined in TPS can be used for general-purpose CT systems operating at voltages close
to 120 kV. For nontypical imaging systems (e.g., CBCT), the relationship can be significantly different and, therefore, it should
always be measured and carefully analyzed before using CT data for treatment planning.
Key Words: Radiotherapy · Computed tomography · Electron density
Strahlenther Onkol 2010;186:327–33
DOI 10.1007/s00066-010-2086-5
CT-Systeme als Datenquelle der Elektronendichte in Bestrahlungsplanungssystemen
Ziel: Vergleich verschiedener Computertomographie-(CT-)Systeme zur Bestimmung der Elektronendichte (ρel) für die Bestrah-
lungsplanung.
Material und Methodik: Die Relation des CT-Werts zur Elektronendichte wurde an verschiedenen modernen CT-Scannern
(„single-slice“, „multislice“, „wide-bore multislice“) ermittelt, für die Therapiesimulatoren mit einem „single-slice“-CT und
kV-CBCT-(„cone-beam“-CT-)Optionen sowie für Linearbeschleuniger mit kV- und MV-CBCT-Systemen. Vier unterschiedlich große
Phantome zweier Hersteller wurden zur Messung der Elektronendichte benutzt. Die Messdaten wurden mit den Standardumrech-
nungsformeln zweier marktüblicher Therapieplanungssysteme (TPS) verglichen.
Ergebnisse: Die HU-ρel-Relationen, die in allen modernen CT-Systemen vorhanden sind, waren untereinander sehr ähnlich, eben-
so wie zu den vorgegebenen Relationen in den TPS. Einige Abweichungen der HU-Werte in Abhängigkeit von der Röhrenspannung
wurden bei knochenäquivalentem Material beobachtet. Bei vorgegebener Röhrenspannung wurden bei den verschiedenen Phan-
tomen größere Differenzen gemessen als in den verschiedenen CT-Scannern. Weniger exakt waren die Informationen über ρel mit
den Therapiesimulatoren und KV-CBCT-Systemen aufgrund der mäßigen Uniformität der Bilder. Die Ergebnisse des MV-CBCT unter-
schieden sich aufgrund des unterschiedlichen Energiespektrums der Röntgenstrahlen signifikant von denen der kV-Systeme.
Schlussfolgerung: Die im TPS vorgegebene HU-ρel-Relation kann bei modernen CT-Systemen mit einer Röhrenspannung im
Bereich von 120 kV genutzt werden. Signifikant unterschiedlich dagegen ist die Relation bei nichttypischen Bildsystemen (z.B.
CBCT). Deshalb sollte bei solchen Systemen immer gemessen und sorgfältig analysiert werden, bevor die CT-Daten für die Thera-
pieplanung herangezogen werden.
Schlüsselwörter: Radiotherapie · Computertomographie · Elektronendichte
Original Article
Strahlentherapie
und Onkologie
1Medical Physics Department, Center of Oncology, Warsaw, Poland,
2Medical Physics Department, Holycross Cancer Center, Kielce, Poland.
Received: September 4, 2009; accepted: March 5, 2010
Published Online: May 17, 2010
327
Strahlenther Onkol 2010 · Nr. 6 © Urban & Vogel
Skrzyn´ski W, et al. CT as a Source of ρel Information for Radiotherapy
Introduction
Calculation of dose distribution within the treated volume is
an essential step of contemporary treatment planning in ra-
diotherapy. Many factors have an influence on the dose distri-
bution, heterogeneity of the patient’s body being one of them.
Data characterizing each patient are therefore needed for the
calculations. X-ray computed tomography (CT) has been used
as a basic source of such data for over 30 years now [17], and
is used as a base for treatment planning even in less common
radiotherapy techniques, such as helical tomotherapy [22] or
radiotherapy with proton beams [5]. Other imaging modalities
are sometimes used as an addition to CT, as they may offer
better visualization of target volume (e.g., magnetic resonance
imaging [18], positron emission tomography [1], or both of
them [26]). Nevertheless, the role of X-ray CT is fundamental,
as it provides information on the attenuation of radiation by
the patient’s tissues in a form of CT numbers, expressed in
Hounsfield units (HU) as in the following equation:
HUtissue = [(μtissueμwater) / μwater] × 1,000,
where μ is the linear attenuation coefficient of water and of the
tissue. It is known that precise calculation of dose distribution
in radiotherapy can be performed on the basis of knowledge
of the electron density of the tissues [20]. Treatment-planning
systems (TPS) usually convert HU values to ρel (relative elec-
tron density, normalized to water) by means of the predefined
relationship between the two quantities, e.g., one given by
Knöös et al. [11]. In some TPS the relation is fixed, in others
the user is allowed to change it.
It should be remembered that Hounsfield numbers for a
given tissue depend on the quality of the X-ray beam; there-
fore, the values can differ between scanners. Even for a sin-
gle scanner, CT numbers for the same tissue depend on the
kV setting and on beam filtration [3, 4]. As a result, the dose
calculated by TPS can change by as much as 2% if CT scans
are obtained using 80 kV instead of 130 kV while using the
same HU-ρel relationship [7]. The HU-ρel relationships can
be measured with the use of phantoms with tissue-equivalent
materials [3], i.e., materials that have an atomic composition
similar to human tissues [8]. Data obtained with such phan-
toms for the particular CT scanner operating at a particular
kV can then be introduced into the TPS to make the calcula-
tions more precise.
However, different manufacturers of commercial elec-
tron density phantoms use different tissue-equivalent materi-
als. It is known that solid (resin-based) bone-equivalent mate-
rials give systematically lower HU values than water solutions
of CaCl2 of the same electron density [24]. Even for a single
CT unit and a single scanning protocol differences of 0.075 in
ρel can be observed depending on the choice of phantom (all
resin-based), leading to differences of the calculated dose in
the order of 1–2% [6].
HU values observed for a given material also depend on
the dimensions of the phantom [6, 9] and on the positioning of
the phantom, especially the presence and the type of patient
support [4] or location on/off axis [9]. Also, a change in posi-
tion of the tissue-equivalent insert in the phantom can lead
to a difference of up to 80 HU [3]. Such differences may be
attributed to differences in beam quality caused by different
filtration at different depths in the phantom (beam hardening
effect). Many of the described dependencies have also been
confirmed in Monte Carlo simulations [19]. Some uncertainty
of ρel data seems therefore to be unavoidable, especially as
patients also differ between themselves in dimensions and in
the composition of their tissues.
It is suggested that one universal HU-ρel relationship can
be used for all CT scanners operating at typical voltages (120–
140 kV), leading to dose calculation errors not greater than
1% [24]. These errors are comparable to those caused, e.g., by
use of uncorrected contrast-enhanced CT scans, which leads to
change in dose calculation of 1% on average (3% maximum)
in the lung [2], or of 0.67% on average (1.8% maximum) in the
brain [28]. Larger errors in dose calculations can, however, be
expected if applying standard predefined HU-ρel relationships
to data obtained with nontypical CT scanners, e.g., cone-beam
CT (CBCT) systems installed onto radiotherapy linear ac-
celerators or radiotherapy simulators. It is known, that such
systems are more prone to inaccuracies of HU values than
conventional CT systems because of the higher effect of X-ray
scatter associated with cone-beam geometry [21]. The use of
kV CBCT data for dose calculation could introduce errors of
3%, partly because of nonuniformity of CBCT images [12, 23].
In the case of MV CBCT, acceptable accuracy of calculated
doses can be obtained, if the images are uniformity-corrected
and if density calibration is done [15, 25].
The aim of this study was to evaluate the performance of
CT systems of various designs as a source of ρel data for treat-
ment planning of radiation therapy, and to compare the stan-
dard HU-ρel relationships predefined in TPS with the actual
relationships obtained by measurements.
Material and Methods
All the CT systems included in the study are listed in Table 1.
Three of them are general-purpose CT scanners and are rou-
tinely used as a source of electron density data, the other four
are designed as radiotherapy verification tools. The systems
present a wide range of designs, from single-slice X-ray CT to
megavoltage CBCT.
Electron density phantoms of four sizes made by two
manufacturers were used in the measurements as listed in
Table 2. For each phantom, several tissue-equivalent inserts
were available, covering a wide range of tissue densities
and compositions (lungs, soft tissues, bones). RMI 465 is a
typical electron density phantom. RMI 463 was designed for
general quality assurance and can accommodate only three
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Skrzyn´ski W, et al. CT as a Source of ρel Information for Radiotherapy
tissue-equivalent inserts simultaneously. The phantom has
some internal structures designed for assessment of image
quality, however, they are not located very close to the inserts
and they do not cause artifacts in the image. We assumed that
the presence of the structures does not significantly influ-
ence HU readings of tissue-equivalent inserts. The CIRS 062
electron density phantom consists of inner and outer sec-
tions. The inner section alone can be used to simulate a pa-
tient’s head. When used together, the two sections simulate a
patient’s torso.
The relationships measured for different CT units were
compared with each other and with default relationships
implemented in two commercial TPS, namely Oncentra Mas-
terPlan [16] and Varian Cadplan [27]. Criteria proposed by
ESTRO [13] were adopted, i.e., it was assumed that the values
of ρel calculated by TPS should not differ from the known true
values by more than 0.05 for ρel < 1.5 and by more than 0.1 for
ρel > 1.5. Larger differences were treated as significant. The
influence of scan parameters (e.g., kV) and of the choice of
phantom on the results was also evaluated.
Results
General-Purpose CT Scanners
Figure 1 presents results obtained with RMI 465 phantom for
three general-purpose X-ray CT scanners operating at various
kV settings. For ρel between 0 and 1 (air, lungs, soft tissues),
all datasets did not seem to differ, while for ρel > 1 (bones), the
results were dependent on kV setting, and for a given kV, they
were different between scanners.
For each scanner operating at the most common voltage
setting (120 kV), the dependence of the results on the choice
of other parameters was also investigated with RMI 465. The
parameters included tube current, slice width, imaging mode
(axial/spiral), pitch in spiral mode, position of the inserts with-
in the phantom, and positioning of the phantom in the gantry
(i.e., on-axis or few centimeters off-axis). The range of HU
values obtained for each material for the GE HiSpeed unit
was generally smaller than 20 HU, only for high-density bones
(ρel > 1.4) it reached 50 HU. For both Siemens units, larger
differences were observed, reaching 50–60 HU for lung tissue
and 100–170 HU for high-density bones.
Figure 2 presents the dependence of the results obtained
for the GE HiSpeed scanner on the choice of phantom and
field of view (FOV; all the other parameters remaining the
same). Similar measurements were also done for the Siemens
Somatom Sensation Open unit and similar dependencies were
Table 1. List of computed tomography (CT) systems used in the study.
Systems marked with “+” in the TP (treatment planning) column are
routinely used as a source of electron density data for radiation treat-
ment planning.
Tabelle 1. Liste der in dieser Studie verwendeten Computertomo-
graphie-(CT-)Systeme. Die in der Spalte TP (Therapieplanung) mit „+“
markierten Systeme dienen in der Routine als Datenquelle für die
Elektronendichte an Bestrahlungsplanungssystemen.
Name Details TP
GE HiSpeed DX/i General-purpose single-slice CT, third ge-
neration
+
Siemens Somatom
AR
General-purpose multislice CT, third gene-
ration
+
Siemens Somatom
Sensation Open
General purpose multislice CT, third genera-
tion (large gantry bore – 82 cm)
+
Varian Ximatron kV CT as an option of radiotherapy simulator
(single slice, part of image intensifier used
as a detector)
Nucletron Simulix
Evolution
kV CBCT with flat-panel detector, as an opti-
on of radiotherapy simulator
Varian OBI kV CBCT with flat-panel detector, installed
on linear accelerator
Siemens MVision MV CBCT with flat-panel detector, installed
on linear accelerator
Table 2. List of electron density phantoms used in the study.
Tabelle 2. Übersicht der Phantome, an denen die Elektronendichte in
dieser Studie gemessen wurde.
Phantom Dimensions Description
RMI 465 33 cm
(body)
ρel phantom, 16 inserts ( 2.8 cm each):
tissue-equivalent inserts, water, four
solid-water rods in various locations (for
uniformity check), titanium
RMI 463 16 cm
(head)
Quality assurance phantom, can simulta-
neously accommodate up to three inserts
from RMI 465
CIRS 062
(inner
section)
18 cm
(head)
ρel phantom, eight tissue-equivalent in-
serts ( 3.05 cm each) and water
CIRS 062
(both
sections)
33 × 27 cm
(body, ellip-
tic)
ρel phantom, consists of inner and outer
sections, each section with identical set
of eight tissue-equivalent inserts
Figure 1. Results of measurements with RMI 465 phantom for three
general-purpose X-ray CT scanners (GE HiSpeed, Siemens Somatom
AR, Siemens Somatom Sensation Open) operating at three selected
kV settings.
Abbildung 1. Messergebnisse mit drei Routine-CT-Scannern (GE
HiSpeed, Siemens Somatom AR, Siemens Somatom Sensation Open)
am RMI-465-Phantom bei drei vorgewählten kV-Stufen.
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Skrzyn´ski W, et al. CT as a Source of ρel Information for Radiotherapy
observed. For the GE unit, the HU values were dependent on
the FOV itself, even for the same phantom and tube voltage.
This can be explained as, for that particular scanner, different
beam filtration is automatically chosen for large FOV rather
than for a small one, resulting in different beam quality.
Table 3 presents data on the variability of the HU values
for three general-purpose CT scanners. The largest source of
the variability is kV setting. Should this be kept constant at
120 kV, the largest remaining source of the variability is the
choice of phantom and of the FOV. Differences caused by
change of other parameters, or even by change of the scanner,
seem to be less significant.
Radiotherapy Simulator with Image Intensifier
Measurements on a Varian Ximatron radiotherapy simula-
tor with CT option were done for RMI 465 phantom only
(Figure 3). Significant nonuniformity was visible in the image
as a white ring, and CT numbers for four identical solid-water
inserts placed in different positions of the phantom ranged
from –208 HU to +13 HU (for general-purpose CT scanners
the values would be identical within a few HU).
kV CBCT
Measurements on two kV CBCT systems were performed
with CIRS 062 phantom (Figure 4). For Varian OBI and inner
section of the phantom (“head”), the results were almost in
agreement with the relationships predefined in TPS, signifi-
cant differences were observed only for lung-equivalent mate-
rials. Some dependency on dimension of FOV was observed,
which could be explained as an effect of differences in acquisi-
tion geometry and beam quality – for small FOV (Ø 25 cm
and smaller) a full-fan acquisition was used, while for larger
FOV half-fan geometry and a different bow-tie filter was used.
For both sections of CIRS 062 phantom placed together (“tor-
so”), the results were significantly different. HU values for
two identical tissue-equivalent inserts simultaneously placed
in outer and inner sections of the phantom differed by more
than 300 HU.
Another kV CBCT system included in the study was Nu-
cletron Simulix Evolution radiotherapy simulator. The results
did not agree with the predefined relationships and were also
dependent on the dimension of the phantom. Nonuniformity
of the images of the CIRS torso phantom was visible, similarly
as described for Varian OBI.
MV CBCT
Figure 5 presents results for Siemens MVision MV CBCT
and RMI 463 phantom. The relationship differed from those
obtained for general-purpose CT scanners, especially for ma-
terials of high electron density. Some dependence on choice
parameters (MU, reconstruction kernel) was observed.
Figure 2. Results of measurements with all available phantoms for GE
HiSpeed scanner operating at 120 kV. Relationships implemented in
two TPS shown for comparison.
Abbildung 2. Messergebnisse mit allen verfügbaren Phantomen des
GE-HiSpeed-Scanners bei 120 kV. Die Relationen wurden in zwei TPS
implementiert und zum Vergleich dargestellt.
Figure 3. Results of measurements with RMI 465 phantom for Varian
Ximatron radiotherapy simulator operating as single-slice CT at 120 kV.
Relationships implemented in two TPS shown for comparison.
Abbildung 3. Messergebnisse mit dem RMI-465-Phantom des Radio-
therapiesimulators Varian Ximatron als Einzelschicht-CT bei 120 kV.
Die Relationen wurden in zwei TPS implementiert und zum Vergleich
dargestellt.
Table 3. Variability of Hounsfield (HU) values for three general-pur-
pose computed tomography (CT) scanners.
Tabelle 3. Variabilität der HU-Werte (Hounsfield-Einheiten) für drei
Allzweck-Computertomographie-(CT-)Scanner.
Altered
parameter Constant parameters Range of observed HU
values (maximum–mi-
nimum)
Lung Soft
tissue Bone
kV CT scanner, phantom 46 44 377
Phantom CT scanner, 120 kV 35 51 257
Protocol CT scanner, 120 kV, phantom 47 39 120
Scanner 80 kV, phantom 72 42 225
Scanner 140 kV, phantom 54 11 63
Scanner 120 kV, phantom 46 23 23
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Skrzyn´ski W, et al. CT as a Source of ρel Information for Radiotherapy
Handling of High-Density Materials (Titanium)
Despite some visible artifacts, small-diameter (ca. 1 cm) ti-
tanium insert in the RMI 465 phantom did not significantly
disturb the HU values for tissue-equivalent materials on gen-
eral-purpose scanners. The result could possibly be different
for a larger volume of high-density material (e.g., phantom
simulating hip prosthesis with metal alloys). For MV CBCT,
the titanium did not introduce any artifacts. It is worth noting
that for the GE HiSpeed scanner, the HU value obtained for
titanium was 4,000, which is basically the maximum HU value
used in that CT unit.
Discussion
Table 4 presents maximum differences between real values
of ρel (as given by the manufacturers of the phantoms) and
ρel calculated from the measured CT numbers with use of un-
modified Cadplan calibration curve. The criteria suggested
by ESTRO [13] were generally fulfilled for general-purpose
CT scanners operating at 120 kV or 140 kV and TPS using
predefined relationships. Only for some specific combina-
tions of scanner, phantom, and parameters, the differences
for materials of high density (bone with ρel of 1.47) reached
0.08. This was outside the tolerance, as the differences should
not exceed 0.05. Anyway, it should be remembered that for
slightly higher ρel ( 1.5), higher differences are allowed
(0.10). It should also be noted, that for the same scanners and
the same voltages (but different phantom, or different set-
tings) the differences were lower than 0.05. All the results ob-
tained for general-purpose CT scanners operating at 120 kV
or 140 kV fall within tolerance levels proposed by Kilby et al.
[10], which are based on calculation of impact of inaccuracies
on dose calculations. The results suggest that relationships
implemented in TPS can generally be used for general-pur-
pose CT systems operating at voltages close to 120 kV. Data
measured with electron density phantom can, of course, be
used to modify the relationship (provided that the TPS al-
lows it), however, some uncertainty of ρel data will remain as
there is no obvious way to eliminate dependencies on size and
shape of the phantom (or patient).
The results for the radiotherapy simulator were not
very different from those obtained for general-purpose CT
scanners, however, the information on ρel was much less pre-
cise because of the decidedly worse uniformity of images. Also
for two kV CBCT systems, very serious nonuniformity of im-
ages was observed for large phantoms (and patients, e.g., in
pelvic cases). All three systems could probably be used as a
Table 4. Maximum differences between electron density calculated
from the measured computed tomography (CT) numbers (with use
of unmodified Cadplan calibration curve) and true values of electron
density.
Tabelle 4. Maximale Unterschiede zwischen Elektronendichte, be-
rechnet aus den gemessenen Computertomographie-(CT-)Zahlen (un-
ter Nutzung der unmodifizierten Cadplan-Eichkurve) und den wahren
Werten der Elektronendichte.
System Maximum error of calculated ρel
Lung Soft tissue Bone
General-purpose CT, 80 kV 0.04 0.03 0.13
General-purpose CT, 120/140 kV 0.04 0.03 0.08
Varian Ximatron 0.07 0.19 0.08
Nucletron Simulix Evolution 0.17 0.14 0.30
Varian OBI 0.13 0.30 0.43
Siemens MVision 0.16 0.02 0.37
Figure 4. Results of measurements with CIRS 062 phantom on two
kV CBCT systems: Varian OBI (125 kV) and Nucletron Simulix Evolution
(100 kV). Relationships implemented in two TPS shown for compari-
son.
Abbildung 4. Messergebnisse mit dem CIRS-062-Phantom an zwei
kV-CBCT-Systemen: Varian OBI (125 kV) und Nucletron Simulix Evolu-
tion (100 kV). Die Relationen wurden in zwei TPS implementiert und
zum Vergleich dargestellt.
Figure 5. Results of measurements with RMI 463 phantom for Sie-
mens MVision MV CBCT system operating at 6 MV. Relationships im-
plemented in two TPS shown for comparison.
Abbildung 5. Messergebnisse mit dem RMI-463-Phantom des
MV-CBCT-Systems Siemens MVision bei 6 MV. Die Relationen wurden
in zwei TPS implementiert und zum Vergleich dargestellt.
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Skrzyn´ski W, et al. CT as a Source of ρel Information for Radiotherapy
source for ρel data. However, in all cases some work should be
done first to correct the nonuniformity of the images.
For MV CBCT, the results were significantly different
than for kV systems due to the different energy spectrum of
the beam. MV CT numbers could be potentially a good source
of data for treatment planning, as they are closely correlated
with ρel and represent attenuation of the therapeutic beam
[25]. Smooth handling of high-density materials (such as tita-
nium) is another advantage. On the other hand, image fusion
with other imaging modalities could be necessary to obtain
anatomic data for treatment planning, because of limited vi-
sualization of soft tissue in MV CBCT images (as compared
to kV CT). However, it is known that image quality can be
substantially improved by correction of uniformity and by op-
timization of system settings [14].
Unfortunately, it was not possible to measure the HU-ρel
relation for each CT scanner for a full range of selectable pa-
rameters and with use of all phantoms. The most extensive
measurements were performed for general-purpose CT scan-
ners. The results showed that the predefined relationships can
be used for those scanners, even if some variability of the re-
sults on choice of phantoms was observed for bone-equivalent
materials. For nontypical CT scanners (radiotherapy simula-
tors, CBCT systems), less extensive evaluations were done, in
some cases with only one phantom, or with only one set of
acquisition parameters. Nevertheless, this was enough to show
that inaccuracies of ρel values are obviously larger than those
observed for general-purpose CT scanners, and that they oc-
cur in the whole range of electron densities.
Conclusion
The results obtained for two TPS showed that the HU-ρel re-
lationships predefined in TPS can be used for general-purpose
CT systems operating at voltages close to 120 kV. We, how ever,
advise to check the accuracy of ρel values calculated by TPS
for the particular CT scanner and scanning protocol. For non-
typical imaging systems (e.g., CBCT), the HU-ρel relationship
can differ significantly from the predefined ones and, there-
fore, it should be measured and carefully analyzed before using
CT data for treatment planning. Some uncertainty of ρel data is
always unavoidable, as even for general-purpose CT scanners,
the HU values for a given tissue can differ depending on the
dimensions of the scanned object, either phantom or patient.
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Address for Correspondence
Witold Skrzyn´ski
Medical Physics Department
Center of Oncology
Roentgena 5
02-781 Warsaw
Poland
Phone/Fax (+48/22) 6449182
e-mail: w.skrzynski@zfm.coi.pl
333
Strahlenther Onkol 2010 · Nr. 6
... These studies have shown that the most influential parameter is the kVp; in fact, a change in kVp can result in a significant change in HU [15]. The reconstruction filters can significantly affect the HU, the level of effect depending on the CT scanner make [17]. Switching from a small to a large FOV can affect the HU, this also depends on the CT scanner make [17,18]. ...
... The reconstruction filters can significantly affect the HU, the level of effect depending on the CT scanner make [17]. Switching from a small to a large FOV can affect the HU, this also depends on the CT scanner make [17,18]. The slice thickness, the collimation, and the tube current have a minimal effect [8,9]. ...
... However, in previous studies, the results were inconsistent. For the GE HiSpeed CT scanner, Skrzynski et al. have found that the HU values depend on the FOV [17]. In the same way, De Marzi et al. have found a 2% difference in cortical bone when changing from a 240 to 400 mm FOV in Toshiba Aquilion 16-slice. ...
... [12,13] In addition, CT attenuation value is related to patient respiration, tube voltage, and CT scanners, among others. [14,15] To increase the accuracy of the measurements, we used the CT attenuation value ratio (AVR) of the tumor to normal pancreas. Using PSM, this retrospective study aimed to evaluate the diagnostic performance of the CT AVR and enhancement pattern for differentiating solid SCAs from NF-pNETs. ...
Article
Full-text available
This study aims to evaluate the utility of calculated computed tomography (CT) attenuation value ratio (AVR) and enhancement pattern in distinguishing pancreatic solid serous cystadenomas (SCAs) from nonfunctional pancreatic neuroendocrine tumors (NF-pNETs). A total of 142 consecutive patients with 22 solid SCAs and 120 NF-pNETs confirmed by pathology were included in this retrospective study. All patients underwent preoperative contrast-enhanced CT and were categorized into 2 groups, solid SCA and NF-pNET groups. Patients with NF-pNETs were matched to patients with solid SCAs via propensity scores. AVR was measured and defined as: attenuation value of tumor/attenuation value of normal pancreas. AVR and enhancement pattern performance were assessed according to the discriminative abilities of patients. After matching, 29 patients were allocated to the NF-pNET group. Before matching, sex, age, and the peak enhanced value phase were significantly different between solid SCA and NF-pNET patients (P < .05). After matching, no significant difference was observed between both groups (P > .05). Solid SCAs AVRs were significantly smaller than NF-pNETs AVRs in all unenhanced, arterial, portal venous, and delayed phases (P < .05). Solid SCAs showed significantly more wash-in and wash-out enhancement patterns than NF-pNETs (P < .05). For unenhanced, arterial, portal venous, and delayed phases, and enhancement pattern, the area under the curve (AUC) values were 0.96, 0.72, 0.80, 0.85, and 0.86, respectively. Low AVR on unenhanced CT and wash-in and wash-out enhancement patterns were useful for differentiating solid SCAs from NF-pNETs and may be useful for clinical decisions, a clearer opinion will be formed with further studies to be conducted with larger patient numbers.
... The HU values in low density object or organ were not significantly difference, our results agree with Skrzyński, W., et al. study [1]. Yoo, S. et al. also reported that dose difference between CT simulation image and CBCT was only 1% in the high dose region [2]. ...
... The relationship between the CT number and ED has been the subject of several studies [5,[7][8][9][10][11]. Previous studies have mainly used phantoms to illustrate the relationship between the CT number and ED. ...
... For accurate dose calculations, a correct relationship between CT numbers or Hounsfield units (HUs) and electron densities is necessary (Mahmoudi et al. 2016). There are many parameters included in a CT scan protocol; some, but not all, of these parameters influence HU values (Ebert et al. 2008;Skrzynski et al. 2010). Variation of HU values in CT images can result in inaccuracies in the radiation therapy process. ...
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Full-text available
In the present study, radiation doses and cancer risks resulting from abdominopelvic radiotherapy planning computed tomography (RP-CT) and abdominopelvic diagnostic CT (DG-CT) examinations are compared. Two groups of patients who underwent abdominopelvic CT scans with RP-CT (n = 50) and DG-CT (n = 50) voluntarily participated in this study. The two groups of patients had approximately similar demographic features including mass, height, body mass index, sex, and age. Radiation dose parameters included CTDIvol, dose–length product, scan length, effective tube current, and pitch factor, all taken from the CT scanner console. The ImPACT software was used to calculate the patient-specific radiation doses. The risks of cancer incidence and mortality were estimated based on the BEIR VII report of the US National Research Council. In the RP-CT group, the mean ± standard deviation of cancer incidence risk for all cancers, leukemia, and all solid cancers was 621.58 ± 214.76, 101.59 ± 27.15, and 516.60 ± 189.01 cancers per 100,000 individuals, respectively, for male patients. For female patients, the corresponding risks were 742.71 ± 292.35, 74.26 ± 20.26, and 667.03 ± 275.67 cancers per 100,000 individuals, respectively. In contrast, for DG-CT cancer incidence risks were 470.22 ± 170.07, 78.23 ± 18.22, and 390.25 ± 152.82 cancers per 100,000 individuals for male patients, while they were 638.65 ± 232.93, 62.14 ± 13.74, and 575.73 ± 221.21 cancers per 100,000 individuals for female patients. Cancer incidence and mortality risks were greater for RP-CT than for DG-CT scans. It is concluded that the various protocols of abdominopelvic CT scans, especially the RP-CT scans, should be optimized with respect to the radiation doses associated with these scans.
... [18][19][20] However, CT value correction depends on the imaging conditions and patient size. [21][22][23][24] We need to recognize the characteristics of the CT error of the CBCT and the dose error of ART using a CBCT to perform clinical radiotherapy more safely. However, although a CBCT uses a cone beam, CT values are evaluated only in the axial plane, 25,26 and a detailed evaluation in the longitudinal direction is not performed for most cases. ...
Article
Full-text available
Purpose: We evaluated the effect of changing the scan mode of the Elekta X-ray volume imaging cone beam computed tomography (CBCT) on the accuracy of dose calculation, which may be affected by computed tomography (CT) value errors in three dimensions. Methods: We used the electron density phantom and measured the CT values in three dimensions. CT values were compared with planning computed tomography (pCT) values for various materials. The evaluated scan modes were for head and neck (S-scan), chest (M-scan), and pelvis (L-scan) with various collimators and filter systems. To evaluate the effects of the CT value error of the CBCT on dose error, Monte Carlo calculations of dosimetry were performed using pCT and CBCT images. Results: The L-scan had a CT value error of approximately 800 HU at the isocenter compared with the pCT. Furthermore, inhomogeneity in the longitudinal CT value profile was observed in the bone material. The dose error for ±100 HU difference in CT values for the S-scan and M-scan was within ±2%. The center of the L-scan had a CT error of approximately 800 HU and a dose error of approximately 6%. The dose error of the L-scan occurred in the beam path in the case of both single field and two parallel opposed fields, and the maximum error occurred at the center of the phantom in the case of both the 4-field box and single-arc techniques. Conclusions: We demonstrated the three-dimensional CT value characteristics of the CBCT by evaluating the CT value error obtained under various imaging conditions. It was found that the L-scan is considerably affected by not having a unique bowtie filter, and the S-scan without the bowtie filter causes CT value errors in the longitudinal direction. Moreover, the CBCT dose errors for the 4-field box and single-arc irradiation techniques converge to the isocenter.
... The latter requires accurate attenuation data to calculate doses delivered during radiotherapy treatments, particularly proton therapy and low-energy brachytherapy. A typical workflow is that electron densities are determined first (1) , and from those, voxel-specific cross sections are determined by making assumptions about the material composition of individual tissues (2) . Attenuation data provided by single-energy CT suffer from beam hardening artifacts (3) . ...
Article
Full-text available
Dual-energy computed tomography (CT) can be used in radiotherapy treatment planning for the calculation of absorbed dose distributions. The aim of this work is to evaluate whether there is room for improvement in the accuracy of the Monoenergetic Plus algorithm by Siemens Healthineers. A Siemens SOMATOM Force scanner was used to scan a cylindrical polymethyl methacrylate phantom with four rod-inserts made of different materials. Images were reconstructed using ADMIRE and processed with Monoenergetic Plus. The resulting CT numbers were compared with tabulated values and values simulated by the proof-of-a-concept algorithm DIRA developed by the authors. Both the Monoenergetic Plus and DIRA algorithms performed well; the accuracy of attenuation coefficients was better than about ±1% at the energy of 70 keV. Compared with DIRA, the worse performance of Monoenergetic Plus was caused by its (i) two-material decomposition to iodine and water and (ii) imperfect suppression of the beam hardening artifact in ADMIRE.
... The more traditionally customizable CT scan parameters such as kilovoltage, current, resolution, slice thickness, field-of-view (FOV) and reconstruction algorithm, have been more heavily studied in terms of the induced HU changes and subsequent impact on dose calculation. [10][11][12][13][14][15][16][17][18][19] These options can be varied through the selection of various anatomic scan protocols pre-installed onto the scanner. In addition, there is also a large variety of reconstruction kernel options available from the manufacturer to choose from. ...
Article
Full-text available
Purpose: To quantitatively evaluate the effect of computed tomography (CT) reconstruction kernels on various dose calculation algorithms with heterogeneity correction. Methods: The gammex electron density (ED) Phantom was scanned with the Siemens PET/CT Biograph20 mCT and reconstructed with twelve different kernel options. Hounsfield unit (HU) vs electron density (ED) curves were generated to compare absolute differences. Scans were repeated under head and pelvis protocols and reconstructed per H40s (head) and B40s (pelvis) kernels. In addition, raw data from a full-body patient scan were also reconstructed using the four B kernels. Per reconstruction, photon (3D and VMAT), electron (18 and 20 MeV) and proton (single field) treatment plans were generated using Varian Eclipse dose calculation algorithms. Photon and electron plans were also simulated to pass through cortical bone vs liver plugs of the phantom for kernel comparison. Treatment field monitor units (MU) and isodose volumes were compared across all scenarios. Results: The twelve kernels resulted in minor differences in HU, except at the extreme ends of the density curve with a maximum absolute difference of 55.2 HU. The head and pelvis scans of the phantom resulted in absolute HU differences of up to 49.1 HU for cortical bone and 45.1 HU for lung 300, which is a relative difference of 4.1% and 6.2%, respectively. MU comparisons across photon and proton calculation algorithms for the patient and phantom scans were within 1-2 MU, with a maximum difference of 5.4 MU found for the 20 MeV electron plan. The 20MeV electron plan also displayed maximum differences in isodose volumes of 20.4 cc for V90%. Conclusion: Clinically insignificant differences were found among the various kernel generated plans for photon and proton plans calculated on patient and phantom scan data. However, differences in isodose volumes found for higher energy electron plans amongst the kernels may have clinical implications for prescribing dose to an isodose level.
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The use of computed tomography during diagnostic examinations makes it a source of additional radiation exposure to patients. In this regard, the development of test objects (phantoms) that simulate the X-ray properties of tissues, including for preliminary assessment of the ionizing radiation distribution, becomes relevant. These test objects play an important role in quality control and the development of new medical imaging methods in conditions where test scans of patients are not possible. Although a range of ready-made solutions is available on the market, there is a lack of prototypes with a certain set of properties to test scientific and practical hypotheses in solving specific clinical and technical problems. Finding materials for a fast and inexpensive production process and studying their properties could provide insight into the effectiveness of their use in making phantoms. The purpose of the work is to search and analyze materials for creating phantoms used in computed tomography. The article discusses materials for the production of non-anthropomorphic and anthropomorphic phantoms, including those printed on a 3D printer. The development of three-dimensional printing has facilitated the transition from simple test objects to high-precision anthropomorphic phantoms made from tissue-mimicking materials that have equivalent signals on computer tomograms. Plastics, silicones, polyvinyl chloride, resins, liquids are used for visualizations identical to soft tissues; plastics, gypsum, photopolymers, potassium hydrogen orthophosphate, calcium hydroxyapatite, plexiglass — for hard tissues. Commercial phantoms are made from materials with reproducible, stable properties, but these same materials must be retested to create test objects specific to a particular clinical task.
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Background and purpose: Metallic hip prostheses cause substantial artefacts in both computed tomography (CT) and magnetic resonance (MR) images used in radiotherapy treatment planning (RTP) for prostate cancer patients. The aim of this study was to evaluate the dose calculation accuracy of a synthetic CT (sCT) generation workflow and the improvement in implant visibility using metal artefact reduction sequences. Materials and methods: The study included 23 patients with prostate cancer who had hip prostheses, of which 10 patients had bilateral hip implants. An in-house protocol was applied to create sCT images for dose calculation comparison. The study compared prostheses volumes and resulting avoidance sectors against planning target volume (PTV) dose uniformity and organs at risk (OAR) sparing. Results: Median PTV dose difference between sCT and CT-based dose calculation among all patients was 0.1 % (-0.4 to 0.4%) (median(range)). Bladder and rectum differences (V50Gy) were 0.2 % (-0.3 to 1.1%) and 0.1 % (-0.9 to 0.5%). The median 3D local gamma pass rate for partial arc cases using a Dixon MR sequence was Γ20%2mm/2% = 99.9%. For the bilateral full arc cases, using a metal artefact reconstruction sequence, the pass rate was Γ20%2mm/2% = 99.0%. Conclusions: An in-house protocol for generating sCT images for dose calculation provided clinically feasible dose calculation accuracy for prostate cancer patients with hip implants. PTV median dose difference for uni- and bilateral patients with avoidance sectors remained <0.4%. The Outphase images enhanced implant visibility resulting in smaller avoidance sectors, better OAR sparing, and improved PTV uniformity.
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The aim of this study was to investigate and, if possible, compensate for the effect of intravenous contrast-enhanced CT scans on the treatment planning dose distributions for lung patients. The contrast and noncontrast CT scans of 3 patients were registered, and the effect of contrast on the Hounsfield units (HU) was assessed. The effect of contrast was then simulated in the CT scans of 18 patients receiving radiotherapy of the lung by modification of the CT numbers for relevant sections of noncontrast-enhanced CT scans. All treatment planning was performed on the Pinnacle³ planning system. The dose distributions computed from simulated contrast CT scans were compared to the original dose distributions by comparison of the monitor units (MUs) for each beam in the treatment plan required to deliver the prescribed dose to the isocenter as well as a comparison of the total MUs for each patient, a percentage change in required MUs being equivalent to a percentage change in the dose. A correction strategy to enable the use of contrast-enhanced CT scans in treatment planning was developed, and the feasibility of applying the strategy was investigated by calculating dose distributions for both the original and simulated contrast CT scans. A mean increase in the overall patient MUs of 1.0 ± 0.8 % was found, with a maximum increase of 3.3% when contrast was simulated on the original CT scans. The simulated contrast scans confirmed that the use of contrast-enhanced CT scans for routine treatment planning would result in a systematic change in the dose delivered to the isocenter. The devised correction strategy had no clinically relevant effect on the dose distribution for the original CT scans. The application of the correction strategy to the simulated contrast CT scans led to a reduction of the mean difference in the overall MUs to 0.1 ± 0.2 % compared to the original scan, demonstrating that the effect of contrast was eliminated with the correction strategy. This work has highlighted the problems associated with using contrast-enhanced CT scans in heterogeneity corrected dose computation. Contrast visible in the CT scan is transient and should not be accounted for in the treatment plan. A correction strategy has been developed that minimizes the effect of intravenous contrast while having no clinical effect on noncontrast CT scans. The correction strategy allows the use of contrast without detriment to the treatment plan. PACS number: 87.53.Tf
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Potential areas where megavoltage computed tomography (MVCT) could be used are second- and third-phase treatment planning in 3D conformal radiotherapy and IMRT, adaptive radiation therapy, single fraction palliative treatment and for the treatment of patients with metal prostheses. A feasibility study was done on using MV cone beam CT (CBCT) images generated by proprietary 3D reconstruction software based on the FDK algorithm for megavoltage treatment planning. The reconstructed images were converted to a DICOM file set. The pixel values of megavoltage cone beam computed tomography (MV CBCT) were rescaled to those of kV CT for use with a treatment planning system. A calibration phantom was designed and developed for verification of geometric accuracy and CT number calibration. The distance measured between two marker points on the CBCT image and the physical dimension on the phantom were in good agreement. Point dose verification for a 10 cm x 10 cm beam at a gantry angle of 0 degrees and SAD of 100 cm were performed for a 6 MV beam for both kV and MV CBCT images. The point doses were found to vary between +/-6.1% of the dose calculated from the kV CT image. The isodose curves for 6 MV for both kV CT and MV CBCT images were within 2% and 3 mm distance-to-agreement. A plan with three beams was performed on MV CBCT, simulating a treatment plan for cancer of the pituitary. The distribution obtained was compared with those corresponding to that obtained using the kV CT. This study has shown that treatment planning with MV cone beam CT images is feasible.
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To report on the planning procedure, quality control, and clinical implementation of intensity-modulated arc therapy (IMAT) delivering a simultaneous integrated boost (SIB) in patients with primary irresectable cervix carcinoma. Six patients underwent PET-CT (positron emission tomography-computed tomography) and MRI (magnetic resonance imaging) before treatment planning. Prescription (25 fractions) was (1) a median dose (D(50)) of 62, 58 and 56 Gy to the primary tumor (GTV_cervix), primary clinical target volume (CTV_cervix) and its planning target volume (PTV_cervix), respectively; (2) a D(50) of 60 Gy to the PET-positive lymph nodes (GTV_nodes); (3) a minimal dose (D(98)) of 45 Gy to the planning target volume of the elective lymph nodes (PTV_nodes). IMAT plans were generated using an anatomy-based exclusion tool with the aid of weight and leaf position optimization. The dosimetric delivery of IMAT was validated preclinically using radiochromic film dosimetry. Five to nine arcs were needed to create valid IMAT plans. Dose constraints on D(50) were not met in two patients (both GTV_cervix: 1 Gy and 3 Gy less). D(98) for PTV_nodes was not met in three patients (1 Gy each). Film dosimetry showed excellent gamma evaluation. There were no treatment interruptions. IMAT allows delivering an SIB to the macroscopic tumor without compromising the dose to the elective lymph nodes or the organs at risk. The clinical implementation is feasible.
Thesis
Kohlenstoffionen deponieren den größten Teil ihrer Energie in einer schmalen Region nahe der maximalen Reichweite (Bragg Peak). Die Reichweite der Ionen in Gewebe ist abhängig von der Elektronendichte des Gewebes. Diese Elektronendichte kann gegenwärtig nur mit Hilfe eines Röntgen-Computertomographen (CT) mit ausreichend räumlicher Auflösung gemessen werden. Daher ist es notwendig, möglichst exakte CT-Daten zu erhalten. Diese CT-Daten sind allerdings abhängig von den Parametern die während der Datenerfassung verwendet werden. In dieser Arbeit wird der Einfluss dieser Messparameter auf die CT-Daten mit Hilfe von Monte-Carlo Simulationen einzelner CT-Projektionen und der Rekonstruktion dieser Projektionen systematisch studiert. Abweichungen der CT-Daten aufgrund des Phantomdurchmessers sowie der Zusammensetzung des Substitutmaterials, dem verwendeten Phantommaterial und der gewählten Spannung der CT-Röntgenröhre werden untersucht. Desweiteren wird die Übertragung von Unsicherheiten in den CT-Daten in eine herapeutisch relevantere Reichweiten- und Dosisunsicherheit bei der Anwendung von Kohlenstoffstrahlen diskutiert.
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Megavoltage cone-beam CT (MVCBCT) is the most recent addition to the in-room CT systems developed for image-guided radiation therapy. The first generation MVCBCT system consists of a 6 MV treatment x-ray beam produced by a conventional linear accelerator equipped with a flat panel amorphous silicon detector. The objective of this study was to evaluate the physical performance of MVCBCT in order to optimize the system acquisition and reconstruction parameters for image quality. MVCBCT acquisitions were performed with the clinical system but images were reconstructed and analyzed with a separate research workstation. The geometrical stability and the positioning accuracy of the system were evaluated by comparing geometrical calibrations routinely performed over a period of 12 months. The beam output and detector intensity stability during MVCBCT acquisition were also evaluated by analyzing in-air acquisitions acquired at different exposure levels. Several system parameters were varied to quantify their impact on image quality including the exposure (2.7, 4.5, 9.0, 18.0, and 54.0 MU), the craniocaudal imaging length (2, 5, 15, and 27.4 cm), the voxel size (0.5, 1, and 2 mm), the slice thickness (1, 3, and 5 mm), and the phantom size. For the reconstruction algorithm, the study investigated the effect of binning, averaging and diffusion filtering of raw projections as well as three different projection filters. A head-sized water cylinder was used to measure and improve the uniformity of MVCBCT images. Inserts of different electron densities were placed in a water cylinder to measure the contrast-to-noise ratio (CNR). The spatial resolution was obtained by measuring the point-spread function of the system using an iterative edge blurring technique. Our results showed that the geometric stability and accuracy of MVCBCT were better than 1 mm over a period of 12 months. Beam intensity variations per projection of up to 35.4% were observed for a 2.7 MU MVCBCT acquisition. These variations did not cause noticeable reduction in the image quality. The results on uniformity suggest that the cupping artifact occurring with MVCBCT is mostly due to off-axis response of the detector and not scattered radiation. Simple uniformity correction methods were developed to nearly eliminate this cupping artifact. The spatial resolution of the baseline MVCBCT reconstruction protocol was approximately 2 mm. An optimized reconstruction protocol was developed and showed an improvement of 75% in CNR with a penalty of only 8% in spatial resolution. Using this new reconstruction protocol, large adipose and muscular structures were differentiated at an exposure of 9 MU. A reduction of 36% in CNR was observed on a larger (pelvic-sized) phantom. This study demonstrates that soft-tissue visualization with MVCBCT can be substantially improved with proper system settings. Further improvement is expected from the next generation MVCBCT system with an optimized megavoltage imaging beamline.
Article
To investigate the influence of local density increase by i.v. contrast agent on dose calculation in linac-based radiosurgery (RS) of cerebral arteriovenous malformations (AVMs). RS was performed after three-dimensional (3-D) treatment planning using a total number of nine to 14 beams. Mean target volume was 5.3 cm(3) (range, 0.1-41.2 cm(3)). Mean maximum diameter was 23.2 mm (range, 8-51 mm). Dose deviation was estimated and calculated from the enhanced and unenhanced datasets of 30 patients. Dose calculation was performed using the same RS treatment plan on both datasets. Both plans were standardized to 1 Gy at isocenter with the same dose weight for all beams. Mean difference of Hounsfield units (DeltaHU) between enhanced and unenhanced CT was 152 HU (range, 50-350 HU). The estimated dose deviation was <or= 1% in 80% of cases with a mean deviation of 0.67% and a maximum dose deviation of 1.8%. With increasing DeltaHU and increasing maximum diameter dose deviation increased as well. The calculated overdosage in ten datasets of enhanced and unenhanced CT scans was 0.66% mean (range, 0.2-1.2%). The use of i.v. contrast agent in 3-D treatment planning for RS of cerebral AVMs may lead to an underestimation of actual applied dose. The effect on dose calculation is rather low with dose deviations < +1% in most of the cases. However, there are cases especially in large AVMs with high DeltaHU located next to critical, radiosensitive structures in which an additional unenhanced CT scan is recommended for exact dose calculation to avoid side effects.
Article
To evaluate the potential benefit of proton therapy and photon based intensity-modulated radiotherapy in comparison to 3-D conformal photon radiotherapy (3D-CRT) in locally advanced cervix cancer. In five patients with advanced cervix cancer 3D-CRT (four-field box) was compared with intensity modulated photon (IMXT) and proton therapy (IMPT) as well as proton beam therapy (PT) based on passive scattering. Planning target volumes (PTVs) included primary tumor and pelvic and para-aortic lymph nodes. Dose-volume histograms (DVHs) were analyzed for the PTV and various organs at risk (OARs) (rectal wall, bladder, small bowel, colon, femoral heads, and kidneys). In addition dose conformity, dose inhomogeneity and overall volumes of 50% isodoses were assessed. All plans were comparable concerning PTV parameters. Large differences between photon and proton techniques were seen in volumes of the 50% isodoses and conformity indices. DVH for colon and small bowel were significantly improved with PT and IMPT compared to IMXT, with D(mean) reductions of 50-80%. Doses to kidneys and femoral heads could also be substantially reduced with PT and IMPT. Sparing of rectum and bladder was superior with protons as well but less pronounced. Proton beam RT has significant potential to improve treatment related side effects in the bowel compared to photon beam RT in patients with advanced cervix carcinoma.
Article
Techniques by which the quantitative anatomical data inherent in a CT scan can be directly used in treatment planning are described. The correction algorithms used in the RAD-8 system, based on an effective path length, have been extended to a pixel-by-pixel approach. By calibrating the X-ray transmission CT scanner in terms of electron densities (electron cm-3) inhomogeneity corrections may be made automatically.