Literature DB >> 24320505

Experimental validation of the TOPAS Monte Carlo system for passive scattering proton therapy.

M Testa1, J Schümann, H-M Lu, J Shin, B Faddegon, J Perl, H Paganetti.   

Abstract

PURPOSE: TOPAS (TOol for PArticle Simulation) is a particle simulation code recently developed with the specific aim of making Monte Carlo simulations user-friendly for research and clinical physicists in the particle therapy community. The authors present a thorough and extensive experimental validation of Monte Carlo simulations performed with TOPAS in a variety of setups relevant for proton therapy applications. The set of validation measurements performed in this work represents an overall end-to-end testing strategy recommended for all clinical centers planning to rely on TOPAS for quality assurance or patient dose calculation and, more generally, for all the institutions using passive-scattering proton therapy systems.
METHODS: The authors systematically compared TOPAS simulations with measurements that are performed routinely within the quality assurance (QA) program in our institution as well as experiments specifically designed for this validation study. First, the authors compared TOPAS simulations with measurements of depth-dose curves for spread-out Bragg peak (SOBP) fields. Second, absolute dosimetry simulations were benchmarked against measured machine output factors (OFs). Third, the authors simulated and measured 2D dose profiles and analyzed the differences in terms of field flatness and symmetry and usable field size. Fourth, the authors designed a simple experiment using a half-beam shifter to assess the effects of multiple Coulomb scattering, beam divergence, and inverse square attenuation on lateral and longitudinal dose profiles measured and simulated in a water phantom. Fifth, TOPAS' capabilities to simulate time dependent beam delivery was benchmarked against dose rate functions (i.e., dose per unit time vs time) measured at different depths inside an SOBP field. Sixth, simulations of the charge deposited by protons fully stopping in two different types of multilayer Faraday cups (MLFCs) were compared with measurements to benchmark the nuclear interaction models used in the simulations.
RESULTS: SOBPs' range and modulation width were reproduced, on average, with an accuracy of +1, -2 and ±3 mm, respectively. OF simulations reproduced measured data within ±3%. Simulated 2D dose-profiles show field flatness and average field radius within ±3% of measured profiles. The field symmetry resulted, on average in ±3% agreement with commissioned profiles. TOPAS accuracy in reproducing measured dose profiles downstream the half beam shifter is better than 2%. Dose rate function simulation reproduced the measurements within ∼2% showing that the four-dimensional modeling of the passively modulation system was implement correctly and millimeter accuracy can be achieved in reproducing measured data. For MLFCs simulations, 2% agreement was found between TOPAS and both sets of experimental measurements. The overall results show that TOPAS simulations are within the clinical accepted tolerances for all QA measurements performed at our institution.
CONCLUSIONS: Our Monte Carlo simulations reproduced accurately the experimental data acquired through all the measurements performed in this study. Thus, TOPAS can reliably be applied to quality assurance for proton therapy and also as an input for commissioning of commercial treatment planning systems. This work also provides the basis for routine clinical dose calculations in patients for all passive scattering proton therapy centers using TOPAS.

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Year:  2013        PMID: 24320505      PMCID: PMC4109425          DOI: 10.1118/1.4828781

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  21 in total

1.  Nuclear interactions of 160 MeV protons stopping in copper: a test of Monte Carlo nuclear models.

Authors:  B Gottschalk; R Platais; H Paganetti
Journal:  Med Phys       Date:  1999-12       Impact factor: 4.071

2.  Test of GEANT3 and GEANT4 nuclear models for 160 MeV protons stopping in CH2.

Authors:  H Paganetti; B Gottschalk
Journal:  Med Phys       Date:  2003-07       Impact factor: 4.071

3.  Accurate Monte Carlo simulations for nozzle design, commissioning and quality assurance for a proton radiation therapy facility.

Authors:  H Paganetti; H Jiang; S Y Lee; H M Kooy
Journal:  Med Phys       Date:  2004-07       Impact factor: 4.071

4.  Adaptation of GEANT4 to Monte Carlo dose calculations based on CT data.

Authors:  H Jiang; H Paganetti
Journal:  Med Phys       Date:  2004-10       Impact factor: 4.071

5.  The prediction of output factors for spread-out proton Bragg peak fields in clinical practice.

Authors:  Hanne M Kooy; Stanley J Rosenthal; Martijn Engelsman; Alejandro Mazal; Roelf L Slopsema; Harald Paganetti; Jacob B Flanz
Journal:  Phys Med Biol       Date:  2005-12-06       Impact factor: 3.609

6.  Effect of tissue heterogeneity on an in vivo range verification technique for proton therapy.

Authors:  El Hassane Bentefour; Tang Shikui; Damien Prieels; Hsiao-Ming Lu
Journal:  Phys Med Biol       Date:  2012-08-03       Impact factor: 3.609

7.  A Monte Carlo dose calculation algorithm for proton therapy.

Authors:  Matthias Fippel; Martin Soukup
Journal:  Med Phys       Date:  2004-08       Impact factor: 4.071

8.  Geometrical splitting technique to improve the computational efficiency in Monte Carlo calculations for proton therapy.

Authors:  José Ramos-Méndez; Joseph Perl; Bruce Faddegon; Jan Schümann; Harald Paganetti
Journal:  Med Phys       Date:  2013-04       Impact factor: 4.071

9.  Ion beam transport in tissue-like media using the Monte Carlo code SHIELD-HIT.

Authors:  Irena Gudowska; Nikolai Sobolevsky; Pedro Andreo; Dzevad Belkić; Anders Brahme
Journal:  Phys Med Biol       Date:  2004-05-21       Impact factor: 3.609

10.  A modular method to handle multiple time-dependent quantities in Monte Carlo simulations.

Authors:  J Shin; J Perl; J Schümann; H Paganetti; B A Faddegon
Journal:  Phys Med Biol       Date:  2012-05-09       Impact factor: 3.609

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  31 in total

1.  Experimental depth dose curves of a 67.5 MeV proton beam for benchmarking and validation of Monte Carlo simulation.

Authors:  Bruce A Faddegon; Jungwook Shin; Carlos M Castenada; José Ramos-Méndez; Inder K Daftari
Journal:  Med Phys       Date:  2015-07       Impact factor: 4.071

2.  Extension of TOPAS for the simulation of proton radiation effects considering molecular and cellular endpoints.

Authors:  Lisa Polster; Jan Schuemann; Ilaria Rinaldi; Lucas Burigo; Aimee L McNamara; Robert D Stewart; Andrea Attili; David J Carlson; Tatsuhiko Sato; José Ramos Méndez; Bruce Faddegon; Joseph Perl; Harald Paganetti
Journal:  Phys Med Biol       Date:  2015-06-10       Impact factor: 3.609

3.  A framework for implementation of organ effect models in TOPAS with benchmarks extended to proton therapy.

Authors:  J Ramos-Méndez; J Perl; J Schümann; J Shin; H Paganetti; B Faddegon
Journal:  Phys Med Biol       Date:  2015-06-10       Impact factor: 3.609

4.  The effect of beam purity and scanner complexity on proton CT accuracy.

Authors:  P Piersimoni; J Ramos-Méndez; T Geoghegan; V A Bashkirov; R W Schulte; B A Faddegon
Journal:  Med Phys       Date:  2017-01-09       Impact factor: 4.071

5.  Helium CT: Monte Carlo simulation results for an ideal source and detector with comparison to proton CT.

Authors:  Pierluigi Piersimoni; Bruce A Faddegon; José Ramos Méndez; Reinhard W Schulte; Lennart Volz; Joao Seco
Journal:  Med Phys       Date:  2018-05-20       Impact factor: 4.071

6.  Recent developments and comprehensive evaluations of a GPU-based Monte Carlo package for proton therapy.

Authors:  Nan Qin; Pablo Botas; Drosoula Giantsoudi; Jan Schuemann; Zhen Tian; Steve B Jiang; Harald Paganetti; Xun Jia
Journal:  Phys Med Biol       Date:  2016-10-03       Impact factor: 3.609

7.  The TOPAS tool for particle simulation, a Monte Carlo simulation tool for physics, biology and clinical research.

Authors:  Bruce Faddegon; José Ramos-Méndez; Jan Schuemann; Aimee McNamara; Jungwook Shin; Joseph Perl; Harald Paganetti
Journal:  Phys Med       Date:  2020-04-03       Impact factor: 2.685

8.  TOPAS-nBio: An Extension to the TOPAS Simulation Toolkit for Cellular and Sub-cellular Radiobiology.

Authors:  J Schuemann; A L McNamara; J Ramos-Méndez; J Perl; K D Held; H Paganetti; S Incerti; B Faddegon
Journal:  Radiat Res       Date:  2019-01-04       Impact factor: 2.841

9.  Site-specific range uncertainties caused by dose calculation algorithms for proton therapy.

Authors:  J Schuemann; S Dowdell; C Grassberger; C H Min; H Paganetti
Journal:  Phys Med Biol       Date:  2014-07-03       Impact factor: 3.609

10.  Interplay effects in proton scanning for lung: a 4D Monte Carlo study assessing the impact of tumor and beam delivery parameters.

Authors:  S Dowdell; C Grassberger; G C Sharp; H Paganetti
Journal:  Phys Med Biol       Date:  2013-05-20       Impact factor: 3.609

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