Literature DB >> 33601165

Comparison of the RayStation photon Monte Carlo dose calculation algorithm against measured data under homogeneous and heterogeneous irradiation geometries.

Neil Richmond1, Agnes Angerud2, Fredrik Tamm2, Vincent Allen3.   

Abstract

PURPOSE: This work compares Monte Carlo dose calculations performed using the RayStation treatment planning system against data measured on a Varian Truebeam linear accelerator with 6 MV and 10 MV FFF photon beams.
METHODS: The dosimetric performance of the RayStation Monte Carlo calculations was evaluated in a variety of irradiation geometries employing homogeneous and heterogeneous phantoms. Profile and depth dose comparisons against measurement were carried out in relative mode using the gamma index as a quantitative measure of similarity within the central high dose regions.
RESULTS: The results demonstrate that the treatment planning system dose calculation engine agrees with measurement to within 2%/1 mm for more than 95% of the data points in the high dose regions for all test cases. A systematic underestimation was observed at the tail of the profile penumbra and out of field, with mean differences generally <0.5 mm or 1% of curve dose maximum respectively. Out of field agreement varied between evaluated beam models.
CONCLUSIONS: The RayStation implementation of photon Monte Carlo dose calculations show good agreement with measured data for the range of scenarios considered in this work and is deemed sufficiently accurate for introduction into clinical use.
Copyright © 2021 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Keywords:  Monte Carlo; Photons; Radiotherapy; RayStation; Treatment planning

Mesh:

Year:  2021        PMID: 33601165     DOI: 10.1016/j.ejmp.2021.02.002

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  2 in total

1.  Maintaining dosimetric quality when switching to a Monte Carlo dose engine for head and neck volumetric-modulated arc therapy planning.

Authors:  Vladimir Feygelman; Kujtim Latifi; Mark Bowers; Kevin Greco; Eduardo G Moros; Max Isacson; Agnes Angerud; Jimmy Caudell
Journal:  J Appl Clin Med Phys       Date:  2022-02-25       Impact factor: 2.243

2.  Adaptive dose painting for prostate cancer.

Authors:  Emil Fredén; David Tilly; Anders Ahnesjö
Journal:  Front Oncol       Date:  2022-09-27       Impact factor: 5.738

  2 in total

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