PURPOSE: To evaluate the performance of Delta4DVH Anatomy in patient-specific intensity-modulated radiotherapy quality assurance. MATERIALS AND METHODS: Dose comparisons were performed between Anatomy doses calculated with treatment plan dose measured modification and pencil beam algorithms, treatment planning system doses, film doses, and ion chamber measured doses in homogeneous and inhomogeneous geometries. The sensitivity of Anatomy doses to machine errors and output calibration errors was also investigated. RESULTS: For a Volumetric Modulated Arc Therapy (VMAT) plan evaluated on the Delta4 geometry, the conventional gamma passing rate was 99.6%. For a water-equivalent slab geometry, good agreements were found between dose profiles in film, treatment planning system, and Anatomy treatment plan dose measured modification and pencil beam calculations. Gamma passing rate for Anatomy treatment plan dose measured modification and pencil beam doses versus treatment planning system doses was 100%. However, gamma passing rate dropped to 97.2% and 96% for treatment plan dose measured modification and pencil beam calculations in inhomogeneous head & neck phantom, respectively. For the 10 patients' quality assurance plans, good agreements were found between ion chamber measured doses and the planned ones (deviation: 0.09% ± 1.17%). The averaged gamma passing rate for conventional and Anatomy treatment plan dose measured modification and pencil beam gamma analyses in Delta4 geometry was 99.6% ± 0.89%, 98.54% ± 1.60%, and 98.95% ± 1.27%, respectively, higher than averaged gamma passing rate of 97.75% ± 1.23% and 93.04% ± 2.69% for treatment plan dose measured modification and pencil beam in patients' geometries, respectively. Anatomy treatment plan dose measured modification dose profiles agreed well with those in treatment planning system for both Delta4 and patients' geometries, while pencil beam doses demonstrated substantial disagreement in patients' geometries when compared to treatment planning system doses. Both treatment planning system doses are sensitive to multileaf collimator and monitor unit (MU) errors for high and medium dose metrics but not sensitive to the gantry and collimator rotation error smaller than 3°. CONCLUSIONS: The new Delta4DVH Anatomy with treatment plan dose measured modification algorithm is a useful tool for the anatomy-based patient-specific quality assurance. Cautions should be taken when using pencil beam algorithm due to its limitations in handling heterogeneity and in high-dose gradient regions.
PURPOSE: To evaluate the performance of Delta4DVH Anatomy in patient-specific intensity-modulated radiotherapy quality assurance. MATERIALS AND METHODS: Dose comparisons were performed between Anatomy doses calculated with treatment plan dose measured modification and pencil beam algorithms, treatment planning system doses, film doses, and ion chamber measured doses in homogeneous and inhomogeneous geometries. The sensitivity of Anatomy doses to machine errors and output calibration errors was also investigated. RESULTS: For a Volumetric Modulated Arc Therapy (VMAT) plan evaluated on the Delta4 geometry, the conventional gamma passing rate was 99.6%. For a water-equivalent slab geometry, good agreements were found between dose profiles in film, treatment planning system, and Anatomy treatment plan dose measured modification and pencil beam calculations. Gamma passing rate for Anatomy treatment plan dose measured modification and pencil beam doses versus treatment planning system doses was 100%. However, gamma passing rate dropped to 97.2% and 96% for treatment plan dose measured modification and pencil beam calculations in inhomogeneous head & neck phantom, respectively. For the 10 patients' quality assurance plans, good agreements were found between ion chamber measured doses and the planned ones (deviation: 0.09% ± 1.17%). The averaged gamma passing rate for conventional and Anatomy treatment plan dose measured modification and pencil beam gamma analyses in Delta4 geometry was 99.6% ± 0.89%, 98.54% ± 1.60%, and 98.95% ± 1.27%, respectively, higher than averaged gamma passing rate of 97.75% ± 1.23% and 93.04% ± 2.69% for treatment plan dose measured modification and pencil beam in patients' geometries, respectively. Anatomy treatment plan dose measured modification dose profiles agreed well with those in treatment planning system for both Delta4 and patients' geometries, while pencil beam doses demonstrated substantial disagreement in patients' geometries when compared to treatment planning system doses. Both treatment planning system doses are sensitive to multileaf collimator and monitor unit (MU) errors for high and medium dose metrics but not sensitive to the gantry and collimator rotation error smaller than 3°. CONCLUSIONS: The new Delta4DVH Anatomy with treatment plan dose measured modification algorithm is a useful tool for the anatomy-based patient-specific quality assurance. Cautions should be taken when using pencil beam algorithm due to its limitations in handling heterogeneity and in high-dose gradient regions.
With the increasing complexity of radiotherapy techniques, patient-specific
pretreatment quality assurance (QA) for intensity-modulated radiotherapy (IMRT) has
become a current standard of practice to verify whether a treatment plan would be
properly delivered to a patient or not. An extensively employed method for the
patientQA is delivery of a verification plan to a 2-dimensional (2D)[1,2] or 3-dimensional (3D) detector arrays.[3-5] The agreement between the measured and planned dose distribution in the 2D
detector arrays or 3D phantoms is quantified by combining dose difference (DD) and
distance to agreement (DTA). This method is called conventional gamma analysis.[6-10] Generally, the conventional gamma passing rate (GP) provides a reliable
agreement between the calculated and measured dose in a homogeneous geometry.
However, the interpretation in clinical terms based on the conventional GP remains
unclear. A number of previous studies have shown that the conventional GP had weak
correlations to critical patient dose errors,[11-14] suggesting that the conventional method has limited sensitivity to different
delivery errors.New developments in commercially available verification systems allow reconstructing
dose on patient computed tomography (CT) data sets based on the measurements by the
QA devices, such as Delta[4] phantom with Delta4DVH Anatomy software (Scandidos),[15,16] ArcCheck phantom with 3DVH software (Sun Nuclear Corporation)[15,17-19] and Octavius 4D system (PTW).[5] With these platforms, comparisons between the reconstructed and planned
dose–volume histogram (DVH) can be made with clinical considerations. Stambaugh
et al
[15] and Hauri et al
[16] have previously investigated the dose calculation accuracy of the pencil beam
(PB) algorithm in Delta4DVH Anatomy software. The recently released
Delta4DVH Anatomy provides another choice of dose algorithm, namely
treatment plan dose measured modification (TMM) algorithm. The performance of the
new Delta4DVH Anatomy is therefore needed to be assessed in the context
of patientQA before it can be implemented clinically.This study aimed to investigate the performance of the new Delta4DVH
Anatomy in patient dose reconstruction for IMRT QA. The sensitivity of Anatomy doses
to the machine errors and output calibration errors were also evaluated. The
comparisons of reconstructed doses for a variety of plans with measured doses and
treatment planning system (TPS) doses were presented.
Materials and Methods
Three different experiments were carried out in this study. The details of
experiments are described below.
Specific Tests
A. VMAT dose reconstruction on homogeneous and inhomogeneous
phantomsIn this section, a VMAT plan was evaluated on a head & neck phantom
(inhomogeneous), Delta4, and slab phantom (homogeneous). The
schematic diagram of the experiment is shown in Figure 1A.
Figure 1.
A, A VMAT plan was evaluated in the Delta4 phantom, a
water-equivalent slab phantom and a head & neck phantom. Comparisons
were done for TPS doses, film doses and Anatomy doses in these 3
phantoms’ geometries. B, Ten patient-specific QA plans were delivered to
Delta4 phantom and an ion chamber. Ion chamber measured
doses were directly compared to TPS doses. The Anatomy TMM doses and PB
doses in Delta4 phantom’s geometry and patients’ geometries
were compared to doses calculated in TPS. PB indicates pencil beam; QA,
quality assurance; TMM, treatment plan dose measured modification; TPS,
treatment planning system.
A, A VMAT plan was evaluated in the Delta4 phantom, a
water-equivalent slab phantom and a head & neck phantom. Comparisons
were done for TPS doses, film doses and Anatomy doses in these 3
phantoms’ geometries. B, Ten patient-specific QA plans were delivered to
Delta4 phantom and an ion chamber. Ion chamber measured
doses were directly compared to TPS doses. The Anatomy TMM doses and PB
doses in Delta4 phantom’s geometry and patients’ geometries
were compared to doses calculated in TPS. PB indicates pencil beam; QA,
quality assurance; TMM, treatment plan dose measured modification; TPS,
treatment planning system.First, the VMAT plan was originally designed to irradiate the head & neck
phantom provided by Imaging and Radiation Oncology Core (IROC). The averaged CT
number of PTV1 and PTV2 is −8 HU and −4 HU, respectively, relatively higher than
that of “normal tissue” of −50 HU. The prescribed dose was 6.6 Gy to PTV1 and
5.4 Gy to PTV2, respectively.Second, a verification plan of the VMAT plan was created on a water-equivalent
RW3 slab phantom. The slab phantom consisted of 11 slabs with the area 30 × 30
cm2. Before the film QA procedure for the VMAT plan, a
calibration procedure was first carried out by irradiating eight 4 × 3
cm2 pieces of GAFCHROMIC EBT3 film (GF) (Ashland) from 0 up to
1000 MU in 100 MU and 200 MU steps with 6 MV photon beam. Then a piece of GF was
placed on a horizontal plane (10 mm below the isocenter plane) of the slab
phantom and irradiated with the VMAT plan.Third, a verification plan of the VMAT plan was created on the Delta4
phantom. The plan was then delivered to the Delta4 phantom. The
Anatomy doses in the geometries of head & neck phantom, Delta4
phantom, and slab phantom were calculated based on the Delta4
measured doses.The gamma analyses were performed for Delta4 measured doses, Anatomy
doses, and film doses with TPS doses as reference doses. The criteria of gamma
analysis were set to 3% DD and 3 mm DTA with 10% low-dose threshold. The gamma
analysis for the measured doses versus TPS doses and Anatomy doses versus TPS
doses will be referred as conventional gamma analysis and Anatomy gamma
analysis, respectively.B. Patient-specific QAIn this section, 10 patient-specific QA plans were evaluated. The schematic
diagram is presented in Figure
1B. These plans consisted of 2 VMAT fields or 5 to 7 sliding window
IMRT fields with prescribed dose (Dp) ranging from 1.8 to 2.2 Gy to
95% of the target volume per fraction. These cases were chosen to cover a range
of field sizes, complexity and treatment sites, including 3 head and neck plans,
2 thoracic plans, 1 abdomen plan, and 4 pelvic plans. Among these plans, 4 have
single plan target volume (PTV) and 6 have 2 targets with a simultaneous
integrated boost.Each QA plan was delivered twice. The Delta4 phantom with its 2
detector arrays was used to measure the doses in the first irradiation. Then a
polymethyl methacrylate (PMMA) plug in the Delta4 phantom was
replaced by a calibrated TW30013 ion chamber (0.6 CC, PTW) to measure the doses
(the corresponding reference point: x = 21.2 mm, y = 0 mm, z = 21.2 mm relative
to the isocenter) in the second irradiation. The ion chamber was connected to a
PTW UNIDOSwebline electrometer. The ion chamber measured doses were then
compared to the TPS doses. The dose deviation was calculated as
(Dmeas − Dplanned) ×100%/Dplanned.Based on the Delta4 measured doses, the dose distributions in
geometries of Delta4 phantom and patients were reconstructed using
Anatomy TMM and PB algorithms. The conventional and Anatomy gamma analyses were
performed for all plans.C. Error-induced plans evaluationIn this section, the sensitivity of the Anatomy doses to the machine errors and
output calibration errors was investigated. The error-induced plans were
delivered to Delta4 phantom and the Anatomy patient doses were
reconstructed and evaluated. The following 4 types of errors were introduced in
6 IMRT plans (2 head & neck plans, 2 thoracic plans, and 2 pelvic plans):
(1) multileaf collimator (MLC) position shift error of 0.5, 1.0, 1.5, and 2.0 mm
(by widening MLC leaves of each bank with 0.25, 0.5, 0.75, and 1.0 mm,
respectively); (2) MU increased by 2%, 4%, and 6%; (3) gantry angle error of 1°,
2°, and 3° in counter-clock-wise (CCW) direction; and (4) collimator rotation
error of 1°, 2°, and 3° in CCW direction. Seventy-eight error plans were created
in total.The differences between the reconstructed and planned DVH metrics were analyzed
for the error-free and error-induced plans. The percentage DD was calculated
with %DD = (DD4 − DTPS) × 100% / Dp, where
DD4, DTPS, and Dp referred to the
Delta4DVH Anatomy patient dose, TPSpatient dose, and the
prescribed dose, respectively. For the error-induced plans, boxplots of the %DD
for various DVH dose metrics were generated to evaluate the discrepancy
distributions in a convenient manner in terms of their spread, center, and the
length of their tails. To evaluate sensitivity of the Anatomy doses to the
introduced errors, the percentage dose deviations were calculated with ΔD =
(Derror − Derror-free) × 100% / Dp, and
linear regressions were used and the corresponding Pearson’s correlation
coefficients (r values) between ΔDD4 and
ΔDTPS were created. Since the introduced errors may have
different effects on different DVH metrics, it would be preferable to analyze
the sensitivity of reconstructed doses for the DVH metrics separately. In this
study, the DVH metrics were roughly classified into 3 categories according to
the dose value: high-dose metrics referred to metrics with value higher than 80%
of the prescribed dose; (2) medium-DVH metrics referred to metrics with value
ranging from 20% to 80% of Dp; and (3) low-DVH metrics stood for
metrics with value of lower than 20% of Dp. The relationships between
reconstructed and planned dose errors were analyzed for these 3 types of DVH
metrics.
Delta4 Verification System and Dose Reconstruction
The Delta[4] (ScandiDos AB) verification system consists of a Delta4DVH
Anatomy software and 2 orthogonal detector arrays placed in a cylindrical PMMA
phantom. The detector arrays are 20 × 20 cm2 with a total of 1069
p-type Si diodes arranged with 2 different pitches: 5 mm in the central area (6
× 6 cm2) and 10 mm in the outer area. A PMMA blind plug is inserted
in Delta4 phantom (off the center of Delta4 phantom),
which can be replaced by an ionization chamber to measure the absolute dose.The dose reconstructions were performed with the Delta4DVH Anatomy
(August 2018 version). To perform dose reconstructions, the measured percent
depth doses, dose profiles in a water phantom and in-air relative output factors
for field sizes from 2 × 2 cm2 to 40 × 40 cm2, and the
linac head information are required to characterize the beam in the
software.A brief description of the basics of dose reconstruction is presented in Figure 2 and discussed
below. Firstly, TPS DICOM objects, including patient plans (Radiotherapy [RT]
plan), patient doses (RT dose), CT images (RT image), and structures (RT
structure), are required to be imported into the Delta4DVH Anatomy.
Then the following steps are involved: (1) an ideal energy fluence is estimated
through optimization by solving a linear programming problem based on the
imported DICOM objects; (2) the ideal dose is calculated by convolving the ideal
energy fluence in the Delta4 phantom; and (3) the energy fluence
modification is obtained by deconvolving the DD between the measured and ideal
dose in the Delta[4] phantom. For PB dose calculation, the sum of the energy fluence
modification and the ideal energy fluence is convolved on the patient geometry
using a PB algorithm.[20] This procedure is referred to as “Anatomy PB dose calculation.” For TMM
dose calculation, the energy fluence modification in step (3) is convolved on
the patient geometry using PB algorithm to obtain the patient dose modification,
then the total patient dose is calculated as the sum of the planned patient dose
and the patient dose modification. This procedure is referred as “Anatomy TMM
dose calculation.” The formulas of optimization and convolution are not shown
here. More details can be found in the vendor’s white paper.[21]
Figure 2.
The schematic of Anatomy TMM and PB dose calculation in patient geometry.
PB, pencil beam; TMM, treatment plan dose measured modification.
The schematic of Anatomy TMM and PB dose calculation in patient geometry.
PB, pencil beam; TMM, treatment plan dose measured modification.In this study, the geometries of Delta4 phantom and the slab phantom
were referred as “patients” when Anatomy dose calculations were performed on
them. The Delta4 phantom data sets were provided by the vendor and
the relative density to water was set to 1.147 in TPS.
General Treatment Planning and Delta4 Measurements
All plans were generated in Varian Eclipse TPS (version 13.6, Varian Medical
Systems), using the anisotropic analytical algorithm and a grid size of 2.5 mm
for dose calculations. All plans employed a 6 MV photon beam from a Varian
Trilogy Linear Accelerator (Varian Medical Systems) equipped with a Millennium
120 MLC. The TPS has been validated after being upgraded to the newest
version.Both the TPS and the linac have been accredited with dosimetry audit using
Houston IROC IMRT phantoms. Therefore, we have enough confidence in the accuracy
of absolute delivered dose. The output, beam energy, flatness, and symmetry of
the linac were checked daily with QuickCheck (PTW) to make sure that the
differences between measurements and the established baseline data were smaller
than 1%. The leaf position accuracy of dynamic MLC was checked with a picket
fence test at 4 cardinal gantry angles using an aSi-based EPID and Portal
Dosimetry software (Varian Medical Systems) in monthly QA as recommended in AAPM
TG142 report.[22]The Delta[4] phantom was placed on the treatment table at the isocenter of the linear
accelerator using room lasers. With a laser-based setup, the position shifts of
the device should be no larger than the tolerance (1 mm) of lasers in periodic
QA. To minimize the effect of daily output fluctuations and setup variation on
sensitivity analysis for dose error plans, the measurements for the 6 original
plans and the imperfect plans were consecutively carried out on the same
day.
Results
VMAT Dose Reconstruction on Homogeneous and Inhomogeneous Phantoms
The gamma analysis results and representative dose profiles in the
Delta4 phantom, slab phantom, and head & neck phantom were
extracted from the Anatomy and TPS and are shown in Figure 3A, B, and C, respectively. The gamma
analysis results and the dose profiles of GF, TPS, and Anatomy are present in
Figure 3D.
Figure 3.
Gamma passing rate (GP) results and representative dose profiles’
comparisons in (A) Delta4 phantom; (B) slab phantom; (C) head
and neck phantom; (D) the film QA results and dose profiles’ comparisons
for TPS doses, Anatomy doses and film doses in slab phantom. QA
indicates quality assurance; TPS, treatment planning system.
Gamma passing rate (GP) results and representative dose profiles’
comparisons in (A) Delta4 phantom; (B) slab phantom; (C) head
and neck phantom; (D) the film QA results and dose profiles’ comparisons
for TPS doses, Anatomy doses and film doses in slab phantom. QA
indicates quality assurance; TPS, treatment planning system.The conventional gamma analysis for Delta4 measured showed a GP of
99.6%. For Anatomy doses, all points passed the gamma analysis for TMM and PB
calculations in the Delta4 phantom. The dose profiles of both Anatomy
TMM and PB calculations agreed well with those of TPS calculations.For film QA in the slab phantom, the film doses showed a GP of 99.3%, which was
comparable to 100% for both TMM and PB. The dose profiles reconstructed with
both TMM and PB exhibited reasonable agreement with the film dose profiles and
TPS dose profiles.For the head & neck phantom, the Anatomy GP dropped to 97.2% and 96% for TMM
and PB calculations, respectively. The dose profiles of TMM calculations and PB
calculations also agreed well with those in TPS.
Patient-Specific QA
Table 1 summarizes
the point dose deviations for the 10 patientQA plans. The averaged difference
between the ion chamber measured doses and the planned doses were 0.09% ± 1.17%.
For Delta4 geometry, when compared to the TPS point doses, the
Anatomy TMM doses and PB doses for the point corresponding to the reference
point of ion chamber (21.2, 0, and 21.2 mm off the isocenter) showed a mean
deviation of 0.48% ± 1.47% and −0.4% ± 1.54%, respectively. For patients’
geometries, the TMM point doses and PB point doses compared to TPS point doses
showed a mean deviation of −0.57% ± 2.65% and −2.36% ± 2.38%, respectively.
Table 1.
The Averaged Dose Deviations (Mean ± SD [%]) for Ion Chamber Doses Versus
TPS Doses, Anatomy Doses Versus TPS Doses for Both Delta4
Geometry and Patients’ Geometries for the Patient QA Plans.
Comparison data sets
Mean ± SD (%)
Ion chamber vs TPS (integrated over chamber
volume)
0.09 ± 1.17
Anatomy in Delta4 phantom geometry
(point dose)
TMM vs TPS
0.48 ± 1.47
PB vs TPS
−0.4 ± 1.54
Anatomy in patient geometry (point dose)
TMM vs TPS
−0.57 ± 2.65
PB vs TPS
−2.36 ± 2.38
Abbreviations: PB, pencil beam; QA, quality assurance; SD, standard
deviation; TMM, treatment plan dose measured modification; TPS,
treatment planning system.
The Averaged Dose Deviations (Mean ± SD [%]) for Ion Chamber Doses Versus
TPS Doses, Anatomy Doses Versus TPS Doses for Both Delta4
Geometry and Patients’ Geometries for the PatientQA Plans.Abbreviations: PB, pencil beam; QA, quality assurance; SD, standard
deviation; TMM, treatment plan dose measured modification; TPS,
treatment planning system.Table 2 presents the
gamma analysis results for the patientQA plans. The averaged conventional GP is
99.60% ± 0.89%. For the Anatomy doses in Delta4 geometry, the
averaged GP for TMM versus TPS and PB versus TPS was higher than 98%. For
Anatomy doses in patients’ geometries, the averaged GP for TMM versus TPS was
97.75% ± 1.23%. It dropped to 93.04% ± 2.69% for PB versus TPS. According to our
local protocol for patient-specific QA, a plan is acceptable if the GP is higher
than 95% for the criteria of 3 mm/3%. For Anatomy gamma analysis for PB versus
TPS, 8 out of 10 plans failed to meet the action level of GP.
Table 2.
The Averaged Conventional and Anatomy Gamma Passing Rate Results (Mean ±
SD) for the Patient QA Plans.
Comparison data sets
Mean ± SD (%)
Delta4 measured doses vs TPS
doses
99.60 ± 0.89
Anatomy doses vs TPS doses in Delta4
geometry
TMM vs TPS
98.54 ± 1.60
PB vs TPS
98.95 ± 1.27
Anatomy doses vs TPS doses in patients’
geometries
TMM vs TPS
97.75 ± 1.23
PB vs TPS
93.04 ± 2.69
Abbreviations: PB, pencil beam; QA, quality assurance; SD, standard
deviation; TMM, treatment plan dose measured modification; TPS,
treatment planning system.
The Averaged Conventional and Anatomy Gamma Passing Rate Results (Mean ±
SD) for the PatientQA Plans.Abbreviations: PB, pencil beam; QA, quality assurance; SD, standard
deviation; TMM, treatment plan dose measured modification; TPS,
treatment planning system.Figure 4 shows 3
examples of comparisons for Anatomy versus TPS dose profiles in
Delta4 phantom and patients’ geometries. In these cases, good
agreements were found between Anatomy TMM calculations and TPS calculations in
both Delta4 and patients’ geometries. The PB calculations exhibited
reasonable agreements with TPS doses in Delta4 geometry. However,
substantial differences were observed in patients’ geometries.
Figure 4.
Absolute dose profiles in TPS and Anatomy TMM and PB calculations: a VMAT
plan for head&neck case in (A) Delta4 phantom and (B)
real patient’s geometry; an IMRT plan for lung case in (C)
Delta4 phantom and (D) real patient’s geometry; an IMRT
plan for sigmoid colon case in (E) Delta4 phantom and (F)
real patient’s geometry. IMRT, intensity-modulated radiotherapy; PB,
pencil beam; TMM, treatment plan dose measured modification; TPS,
treatment planning system.
Absolute dose profiles in TPS and Anatomy TMM and PB calculations: a VMAT
plan for head&neck case in (A) Delta4 phantom and (B)
real patient’s geometry; an IMRT plan for lung case in (C)
Delta4 phantom and (D) real patient’s geometry; an IMRT
plan for sigmoid colon case in (E) Delta4 phantom and (F)
real patient’s geometry. IMRT, intensity-modulated radiotherapy; PB,
pencil beam; TMM, treatment plan dose measured modification; TPS,
treatment planning system.
Dose–Volume Histogram Metrics Comparisons for Error-Free and Error-Induced
Plans
Table 3 presents the
mean value of the DVH metrics in the TPS and the percentage difference between
the reconstructed and planned DVH metrics for the 6 original plans. The types of
DVH metrics were classified according to the value. The percentage DD of the DVH
metrics for TMM versus TPS ranged from −1.95% to 2.30% with a mean value of
0.06% ± 1.26%. Nearly 30% of DVH metrics exhibited percentage differences higher
than 3% for PB versus TPS, giving a mean value and a standard deviation of
−1.82% ± 2.17%.
Table 3.
The Mean Doses and the Dose Differences Between Reconstructed and
Calculated DVH Metrics for 6 Original Treatment Plans.
Anatomical site
Parameters
TPS dose (Gy)
Percentage dose difference (%)
Types of DVH metrics
TMM vs TPS
PB vs TPS
Oral
PTV Dmean
2.06
−0.75
−4.75
High
PTV D95%
2.00
−1.40
−5.55
High
BS D2%
1.78
−1.95
−3.05
High
SC D2%
0.57
2.30
2.00
Medium
Parotid
PTV Dmean
2.08
0.20
−0.50
High
PTV D95%
2.00
−1.70
−1.10
High
BS D2%
0.33
0.55
1.50
Low
SC D2%
0.56
0.95
0.75
Medium
Right lung
PTV Dmean
2.10
0.80
−2.55
High
PTV D95%
1.97
0.25
−1.05
High
Heart Dmean
0.26
0.85
1.65
Low
RL Dmean
0.62
−1.45
−1.45
Medium
RL D20%
1.31
1.50
−0.65
Medium
Left lung
PTV Dmean
2.10
1.33
−3.05
High
PTV D95%
2.00
−1.90
−4.20
High
Heart Dmean
0.36
1.94
0.95
Low
LL Dmean
0.74
−0.68
−0.95
Medium
LL D20%
1.71
1.90
−1.15
High
Sigmoid
PTV Dmean
2.06
−0.15
−2.95
High
PTV D95%
2.01
−0.75
−4.40
High
SC D2%
1.13
0.85
−2.50
Medium
SI D20%
0.95
1.30
−0.95
Medium
Rectal
PTV Dmean
2.06
−0.75
−4.75
High
PTV D95%
2.00
−1.40
−5.55
High
LFH D5%
0.70
0.30
−1.30
Medium
RHL D5%
0.53
0.30
−1.25
Medium
Bladder D40%
0.78
−0.80
−2.55
Medium
Abbreviations: BS, brain stem; DVH, dose–volume histogram; LFH, left
femoral head; LL, left lung; PB, pencil beam; RL, right lung; RFH,
right femoral head; SC, spinal cord; SI, small intestine; TMM,
treatment plan dose measured modification; TPS, treatment planning
system.
The Mean Doses and the Dose Differences Between Reconstructed and
Calculated DVH Metrics for 6 Original Treatment Plans.Abbreviations: BS, brain stem; DVH, dose–volume histogram; LFH, left
femoral head; LL, left lung; PB, pencil beam; RL, right lung; RFH,
right femoral head; SC, spinal cord; SI, small intestine; TMM,
treatment plan dose measured modification; TPS, treatment planning
system.The box plots in Figure 5
present the percentage differences between the reconstructed and planned DVH
metrics for the error plans. Again, almost all the absolute percentage dose
differences for TMM versus TPS (black boxes) were within 3%, while a
considerable amount of dose differences for PB versus TPS (red boxes) were
higher than 3%.
Figure 5.
Box plots of the difference between reconstructed and planned DVH
metrics. The box lines show the first quartile, median, and third
quartile. The top and bottom whiskers extend to the maximum and minimum
values, respectively. The black boxes and red boxes represented for the
results for TMM versus TPS and PB versus TPS, respectively. PB indicates
pencil beam; TMM, treatment plan dose measured modification; TPS,
treatment planning system.
Box plots of the difference between reconstructed and planned DVH
metrics. The box lines show the first quartile, median, and third
quartile. The top and bottom whiskers extend to the maximum and minimum
values, respectively. The black boxes and red boxes represented for the
results for TMM versus TPS and PB versus TPS, respectively. PB indicates
pencil beam; TMM, treatment plan dose measured modification; TPS,
treatment planning system.Results of the Pearson correlation coefficients (r values) and
the slope of the linear regression lines for the reconstructed and the planned
dose errors are shown in Table 4. As an example, Figure 6 presents the reconstructed
versus planned dose errors for 2 cases. For the plans with MLC and MU errors,
the linear regression analyses exhibited excellent linearity between the Anatomy
TMM dose errors and TPS dose errors since the slopes were near 1 and the
intercepts were near zero with r values close to 1 (an ideal
fit would have an expected slope = 1, intercept = 0, and r =
1). The reconstructed dose errors for plans with gantry or collimator rotation
errors did not imply strong correlations with the planned ones. The correlation
analysis and linear regression results for PB versus TPS were similar to TMM
versus TPS, except that the PB dose errors exhibited a weak correlation to the
introduced MU errors for low dose metrics.
Table 4.
The Correlation Analysis Results and the Slopes of Linear Regressions for
the Reconstructed and Planned Dose Deviations for the DVH Metrics.
Reconstructed dose deviations versus TPS dose deviations caused by (A)
and (B) MLC misalignment for the left lung case; (C) and (D) MU errors
for the rectal case. MLC indicates multileaf collimator; TPS, treatment
planning system.
The Correlation Analysis Results and the Slopes of Linear Regressions for
the Reconstructed and Planned Dose Deviations for the DVH Metrics.Abbreviations: DVH, dose–volume histogram; MLC, multileaf collimator;
PB, pencil beam; TMM, treatment plan dose measured modification;
TPS, treatment planning system.Reconstructed dose deviations versus TPS dose deviations caused by (A)
and (B) MLC misalignment for the left lung case; (C) and (D) MU errors
for the rectal case. MLC indicates multileaf collimator; TPS, treatment
planning system.The impact of these 4 types of errors to the patient dose distribution was
different. The dosimetric impact of the MLC and MU errors on the DVH metrics was
more apparent than that of collimator and gantry angle errors. The dose
deviations of DVH metrics due to collimator and gantry errors considered in this
study were less than 2%. Besides, the impact of the introduced errors to the DVH
metrics varies from structure to structure. Concerning a 2 mm MLC opening error
could lead an increase of the mean dose of PTV by 8.50%, while it resulted in an
increase of 1.65% for the mean dose of heart in the lung cancer case in Figure 6A and B.
Discussion
The patient dose reconstruction based on the phantom measurements has recently gained
popularity in the patientQA procedures. An accurate dose reconstruction method
allows clinicians to evaluate the clinical relevance of the QA results. This study
will help physicians and medical physicists to be aware of the features and the
constraints of the Delta4DVH Anatomy in patientQA.In this study, various plans were evaluated for both homogeneous and inhomogeneous
phantoms. Good agreements of the ion chamber measured doses, film doses,
Delta4 measured doses with TPS doses further validate the TPS
calculations. Both TMM and PB calculations exhibit good agreements with film QA
results in the homogeneous slab phantom. Only small differences are found in Anatomy
TMM versus TPS doses and PB versus TPS doses in both Delta4 and slab
phantom. These results indicate that both TMM and PB algorithms could provide
satisfactory reconstructed doses in homogeneous phantoms.Treatment plan dose measured modification doses agree well with TPS doses in not only
homogeneous phantoms but also inhomogeneous geometries. According to the schematic
of TMM dose calculation shown in Figure 2, a
large amount of TMM dose is from TPSpatient dose, the dose modification in the
patient’s geometry is calculated with the PB algorithm only if the linac delivered
doses are different from those in TPS. According to the evaulation results for
error-induced plans, the most significant discrepancy of dose errors occurred in the
case with 2 mm MLC misalignment, which leads to PTV mean dose deviation more than
8%. The TMM DVH could reflect the dose differences in this case. Besides, TMM
calculations could also reflect the MU errors. This means that TMM algorithm is
reliable in cases with MLC positional errors and output calibration errors. Since
the PB algorithm has some issues with heterogeneity corrections,[23] the TMM dose calculations may not be very accurate when the value of dose
modification is high. The situation regarding more substantial discrepancy between
the linac and TPS calculations needs further investigations. It should be noted
that, since the TMM dose calculation is dependent to the TPS calculation, the
validation of TPS is critical before the implementation of the Anatomy TMM algorithm
in patient-specific QA.All plans meet the 95% action level with 3%/3 mm criteria for TMM versus TPS doses in
this study. A similar study was carried out for Compass system,[12] showing that the averaged GPs for the whole body for 20 head&neck IMRT QA
plans were 97.48% ± 0.21% and 91.88% ± 0.22% using criteria of 3%/3 mm and 2%/2 mm,
respectively. In this study, the TMM reconstructions produced similar averaged GP of
97.75% using 3% / 3 mm criteria for all patientQA plans. However, the QA device and
software used in this study were quite different, thus making a quantitative
comparison is difficult.For Anatomy PB calculations, the dose distributions agree well with TPS calculations
in 2 homogeneous phantoms in the first VMAT plan. For the head & neck phantom,
PB calculations pass the Anatomy gamma analysis with a GP of 96%, and the PB dose
profiles agree with TPS calculations at an acceptable level. However, in the more
heterogeneous patients’ geometries (eg, head&neck case and lung case), the
disagreements tend to be more obvious. Larger discrepancies are also found in the
regions of high dose gradients, suggesting that Anatomy PB algorithm may have issues
in handling the heterogeneity and in penumbra regions. These findings are consistent
with the previous study performed by Stambaugh et al,[15] who compared the dose distribution between Delta[4] PB calculations and ArcCHECK planned dose perturbation (ACPDP) calculations.
Their studies demonstrated that the dose profiles and distributions calculated with Delta[4] PB algorithm showed poor agreement with those with ACPDP algorithm and TPS in
heterogeneous CT data sets. The inaccurate dose calculations with Delta[4] PB algorithm were also reported by Hauri et al
[16] in the border region of PTV and air-filled rectal balloon in prostate plans.
The authors suggested a criterion of 5%/3 mm instead of 3%/3 mm in anatomy-based
gamma analysis for the Anatomy PB dose calculations. Our evaluation results
suggesting that TMM algorithm rather than the PB algorithm in Delta4DVH
Anatomy is a more appropriate choice in the cases of heterogeneous sites.Four types of errors were introduced, and then the dosimetric errors resulting from
these errors were quantified. We find that the introduced dose errors were correctly
calculated with the TMM algorithm for plans with MLC and MU errors. It is no
surprise that the correlations between the reconstructed and planned dose errors are
weak for the plans with gantry and collimator rotation errors. The weak correlations
can be attributed to several factors. First, the dosimetric impact caused by the
gantry and collimator angle errors is relatively slight in this study. This is
consistent with the results reported by Viellevigne et al.[24] Besides, there might be small differences between the performances of the
linac at the time of delivery of QA plans and those at the time of TPS
commissioning, even though periodic QA is carried out to minimize the systematic
errors. Furthermore, intrinsic errors are coming from the implementation of
different dose calculation algorithms in the TPS and the Delta4DVH
Anatomy. Therefore, the insignificant dose deviations caused by the gantry or
collimator errors may be masked by the influence of the different algorithms or the
systematic errors of the linac.It should be noted that each structure has a unique sensitivity to the introduced
errors. The sensitivity is likely to be affected by multiple factors such as the
geometry of the patient’s body, the complexity of the fluence map, the size of the
target volume, the distance to the radiation field. Addressing the question of how
the manufactured errors influence the dose distributions in different structures
needs more detailed analyses in the future. What’s more, the 3D anatomy-based dose
verification raises new questions on topics, such as the correlations between the
organ-specific GPs and the DVH metrics. Future efforts are also needed to establish
an appropriate evaluation criterion in anatomy-based QA to determine if a plan is
acceptable clinically.This study has several limitations. First, the Anatomy doses were not compared to 3D
measurements since the gel verification system is not available for our department
so far. Second, the performance of Delta[4] system in reconstructing patient dose for stereotactic body radiation therapy
(SBRT) plans was not evaluated in this study. Since the field sizes are comparable
to the pitches of detectors of Delta,[4] the dose reconstruction results for SBRT plans may be affected by the
resolution of the detector arrays. Therefore, a more detailed investigation is
needed and will be carried out in the future. In addition, limited types of errors
were used in this study. Other types of errors might occur as well, and thus future
work will expand the evaluations to a variety of errors.
Conclusions
Based on the evaluation results, we conclude that the Delta4DVH Anatomy
with TMM algorithm is a suitable tool for measurement-based patient dose
reconstruction. The PB algorithm is not recommend since it has issues in handling
inhomogeneity and in penumbra regions.
Authors: Eric E Klein; Joseph Hanley; John Bayouth; Fang-Fang Yin; William Simon; Sean Dresser; Christopher Serago; Francisco Aguirre; Lijun Ma; Bijan Arjomandy; Chihray Liu; Carlos Sandin; Todd Holmes Journal: Med Phys Date: 2009-09 Impact factor: 4.071
Authors: Scott B Crowe; Bess Sutherland; Rachael Wilks; Venkatakrishnan Seshadri; Steven Sylvander; Jamie V Trapp; Tanya Kairn Journal: Med Phys Date: 2016-03 Impact factor: 4.071
Authors: Pascal Hauri; Sarah Verlaan; Shaun Graydon; Linda Ahnen; Stephan Klöck; Stephanie Lang Journal: J Appl Clin Med Phys Date: 2014-03-06 Impact factor: 2.102