Benchmarking Monte-Carlo dose calculation for MLC CyberKnife treatments

Abstract Background Vendor-independent Monte Carlo (MC) dose calculation (IDC) for patient-specific quality assurance of multi-leaf collimator (MLC) based CyberKnife treatments is used to benchmark and validate the commercial MC dose calculation engine for MLC based treatments built into the CyberKn...

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Main Authors: P.-H. Mackeprang, D. Vuong, W. Volken, D. Henzen, D. Schmidhalter, M. Malthaner, S. Mueller, D. Frei, W. Kilby, D. M. Aebersold, M. K. Fix, P. Manser
Format: Article
Language:English
Published: BMC 2019-09-01
Series:Radiation Oncology
Subjects:
TPS
QA
Online Access:http://link.springer.com/article/10.1186/s13014-019-1370-5
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spelling doaj-f1db79f732694c8e8226911cddf413672020-11-25T02:52:31ZengBMCRadiation Oncology1748-717X2019-09-0114111110.1186/s13014-019-1370-5Benchmarking Monte-Carlo dose calculation for MLC CyberKnife treatmentsP.-H. Mackeprang0D. Vuong1W. Volken2D. Henzen3D. Schmidhalter4M. Malthaner5S. Mueller6D. Frei7W. Kilby8D. M. Aebersold9M. K. Fix10P. Manser11Division of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of BernDivision of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of BernDivision of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of BernDivision of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of BernDivision of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of BernDivision of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of BernDivision of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of BernDivision of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of BernAccuray IncorporatedDivision of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of BernDivision of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of BernDivision of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of BernAbstract Background Vendor-independent Monte Carlo (MC) dose calculation (IDC) for patient-specific quality assurance of multi-leaf collimator (MLC) based CyberKnife treatments is used to benchmark and validate the commercial MC dose calculation engine for MLC based treatments built into the CyberKnife treatment planning system (Precision MC). Methods The benchmark included dose profiles in water in 15 mm depth and depth dose curves of rectangular MLC shaped fields ranging from 7.6 mm × 7.7 mm to 115.0 mm  × 100.1 mm, which were compared between IDC, Precision MC and measurements in terms of dose difference and distance to agreement. Dose distributions of three phantom cases and seven clinical lung cases were calculated using both IDC and Precision MC. The lung PTVs ranged from 14 cm3 to 93 cm3. Quantitative comparison of these dose distributions was performed using dose-volume parameters and 3D gamma analysis with 2% global dose difference and 1 mm distance criteria and a global 10% dose threshold. Time to calculate dose distributions was recorded and efficiency was assessed. Results Absolute dose profiles in 15 mm depth in water showed agreement between Precision MC and IDC within 3.1% or 1 mm. Depth dose curves agreed within 2.3% / 1 mm. For the phantom and clinical lung cases, mean PTV doses differed from − 1.0 to + 2.3% between IDC and Precision MC and gamma passing rates were > =98.1% for all multiple beam treatment plans. For the lung cases, lung V20 agreed within ±1.5%. Calculation times ranged from 2.2 min (for 39 cm3 PTV at 1.0 × 1.0 × 2.5 mm3 native CT resolution) to 8.1 min (93 cm3 at 1.1 × 1.1 × 1.0 mm3), at 2% uncertainty for Precision MC for the 7 examined lung cases and 4–6 h for IDC, which, however, is not optimized for efficiency but used as a gold standard for accuracy. Conclusions Both accuracy and efficiency of Precision MC in the context of MLC based planning for the CyberKnife M6 system were benchmarked against MC based IDC framework. Precision MC is used in clinical practice at our institute.http://link.springer.com/article/10.1186/s13014-019-1370-5CyberKnifeMonte CarloBenchmarkingDose calculationTPSQA
collection DOAJ
language English
format Article
sources DOAJ
author P.-H. Mackeprang
D. Vuong
W. Volken
D. Henzen
D. Schmidhalter
M. Malthaner
S. Mueller
D. Frei
W. Kilby
D. M. Aebersold
M. K. Fix
P. Manser
spellingShingle P.-H. Mackeprang
D. Vuong
W. Volken
D. Henzen
D. Schmidhalter
M. Malthaner
S. Mueller
D. Frei
W. Kilby
D. M. Aebersold
M. K. Fix
P. Manser
Benchmarking Monte-Carlo dose calculation for MLC CyberKnife treatments
Radiation Oncology
CyberKnife
Monte Carlo
Benchmarking
Dose calculation
TPS
QA
author_facet P.-H. Mackeprang
D. Vuong
W. Volken
D. Henzen
D. Schmidhalter
M. Malthaner
S. Mueller
D. Frei
W. Kilby
D. M. Aebersold
M. K. Fix
P. Manser
author_sort P.-H. Mackeprang
title Benchmarking Monte-Carlo dose calculation for MLC CyberKnife treatments
title_short Benchmarking Monte-Carlo dose calculation for MLC CyberKnife treatments
title_full Benchmarking Monte-Carlo dose calculation for MLC CyberKnife treatments
title_fullStr Benchmarking Monte-Carlo dose calculation for MLC CyberKnife treatments
title_full_unstemmed Benchmarking Monte-Carlo dose calculation for MLC CyberKnife treatments
title_sort benchmarking monte-carlo dose calculation for mlc cyberknife treatments
publisher BMC
series Radiation Oncology
issn 1748-717X
publishDate 2019-09-01
description Abstract Background Vendor-independent Monte Carlo (MC) dose calculation (IDC) for patient-specific quality assurance of multi-leaf collimator (MLC) based CyberKnife treatments is used to benchmark and validate the commercial MC dose calculation engine for MLC based treatments built into the CyberKnife treatment planning system (Precision MC). Methods The benchmark included dose profiles in water in 15 mm depth and depth dose curves of rectangular MLC shaped fields ranging from 7.6 mm × 7.7 mm to 115.0 mm  × 100.1 mm, which were compared between IDC, Precision MC and measurements in terms of dose difference and distance to agreement. Dose distributions of three phantom cases and seven clinical lung cases were calculated using both IDC and Precision MC. The lung PTVs ranged from 14 cm3 to 93 cm3. Quantitative comparison of these dose distributions was performed using dose-volume parameters and 3D gamma analysis with 2% global dose difference and 1 mm distance criteria and a global 10% dose threshold. Time to calculate dose distributions was recorded and efficiency was assessed. Results Absolute dose profiles in 15 mm depth in water showed agreement between Precision MC and IDC within 3.1% or 1 mm. Depth dose curves agreed within 2.3% / 1 mm. For the phantom and clinical lung cases, mean PTV doses differed from − 1.0 to + 2.3% between IDC and Precision MC and gamma passing rates were > =98.1% for all multiple beam treatment plans. For the lung cases, lung V20 agreed within ±1.5%. Calculation times ranged from 2.2 min (for 39 cm3 PTV at 1.0 × 1.0 × 2.5 mm3 native CT resolution) to 8.1 min (93 cm3 at 1.1 × 1.1 × 1.0 mm3), at 2% uncertainty for Precision MC for the 7 examined lung cases and 4–6 h for IDC, which, however, is not optimized for efficiency but used as a gold standard for accuracy. Conclusions Both accuracy and efficiency of Precision MC in the context of MLC based planning for the CyberKnife M6 system were benchmarked against MC based IDC framework. Precision MC is used in clinical practice at our institute.
topic CyberKnife
Monte Carlo
Benchmarking
Dose calculation
TPS
QA
url http://link.springer.com/article/10.1186/s13014-019-1370-5
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