Cargando…

Evaluation of a commercial Monte Carlo dose calculation algorithm for electron treatment planning

The RayStation treatment planning system implements a Monte Carlo (MC) algorithm for electron dose calculations. For a TrueBeam accelerator, beam modeling was performed for four electron energies (6, 9, 12, and 15 MeV), and the dose calculation accuracy was tested for a range of geometries. The suit...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Jessie Y., Dunkerley, David, Smilowitz, Jennifer B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6560228/
https://www.ncbi.nlm.nih.gov/pubmed/31120615
http://dx.doi.org/10.1002/acm2.12622
_version_ 1783425929565962240
author Huang, Jessie Y.
Dunkerley, David
Smilowitz, Jennifer B.
author_facet Huang, Jessie Y.
Dunkerley, David
Smilowitz, Jennifer B.
author_sort Huang, Jessie Y.
collection PubMed
description The RayStation treatment planning system implements a Monte Carlo (MC) algorithm for electron dose calculations. For a TrueBeam accelerator, beam modeling was performed for four electron energies (6, 9, 12, and 15 MeV), and the dose calculation accuracy was tested for a range of geometries. The suite of validation tests included those tests recommended by AAPM's Medical Physics Practice Guideline 5.a, but extended beyond these tests in order to validate the MC algorithm in more challenging geometries. For MPPG 5.a testing, calculation accuracy was evaluated for square cutouts of various sizes, two custom cutout shapes, oblique incidence, and heterogenous media (cork). In general, agreement between ion chamber measurements and RayStation dose calculations was excellent and well within suggested tolerance limits. However, this testing did reveal calculation errors for the output of small cutouts. Of the 312 output factors evaluated for square cutouts, 20 (6.4%) were outside of 3% and 5 (1.6%) were outside of 5%, with these larger errors generally being for the smallest cutout sizes within a given applicator. Adjustment of beam modeling parameters did not fix these calculation errors, nor does the planning software allow the user to input correction factors as a function of field size. Additional validation tests included several complex phantom geometries (triangular nose phantom, lung phantom, curved breast phantom, and cortical bone phantom), designed to test the ability of the algorithm to handle high density heterogeneities and irregular surface contours. In comparison to measurements with radiochromic film, RayStation showed good agreement, with an average of 89.3% pixels passing for gamma analysis (3%/3mm) across four phantom geometries. The MC algorithm was able to accurately handle the presence of irregular surface contours (curved cylindrical phantom and a triangular nose phantom), as well as heterogeneities (cork and cortical bone).
format Online
Article
Text
id pubmed-6560228
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-65602282019-06-17 Evaluation of a commercial Monte Carlo dose calculation algorithm for electron treatment planning Huang, Jessie Y. Dunkerley, David Smilowitz, Jennifer B. J Appl Clin Med Phys Radiation Measurements The RayStation treatment planning system implements a Monte Carlo (MC) algorithm for electron dose calculations. For a TrueBeam accelerator, beam modeling was performed for four electron energies (6, 9, 12, and 15 MeV), and the dose calculation accuracy was tested for a range of geometries. The suite of validation tests included those tests recommended by AAPM's Medical Physics Practice Guideline 5.a, but extended beyond these tests in order to validate the MC algorithm in more challenging geometries. For MPPG 5.a testing, calculation accuracy was evaluated for square cutouts of various sizes, two custom cutout shapes, oblique incidence, and heterogenous media (cork). In general, agreement between ion chamber measurements and RayStation dose calculations was excellent and well within suggested tolerance limits. However, this testing did reveal calculation errors for the output of small cutouts. Of the 312 output factors evaluated for square cutouts, 20 (6.4%) were outside of 3% and 5 (1.6%) were outside of 5%, with these larger errors generally being for the smallest cutout sizes within a given applicator. Adjustment of beam modeling parameters did not fix these calculation errors, nor does the planning software allow the user to input correction factors as a function of field size. Additional validation tests included several complex phantom geometries (triangular nose phantom, lung phantom, curved breast phantom, and cortical bone phantom), designed to test the ability of the algorithm to handle high density heterogeneities and irregular surface contours. In comparison to measurements with radiochromic film, RayStation showed good agreement, with an average of 89.3% pixels passing for gamma analysis (3%/3mm) across four phantom geometries. The MC algorithm was able to accurately handle the presence of irregular surface contours (curved cylindrical phantom and a triangular nose phantom), as well as heterogeneities (cork and cortical bone). John Wiley and Sons Inc. 2019-05-23 /pmc/articles/PMC6560228/ /pubmed/31120615 http://dx.doi.org/10.1002/acm2.12622 Text en © 2019 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Radiation Measurements
Huang, Jessie Y.
Dunkerley, David
Smilowitz, Jennifer B.
Evaluation of a commercial Monte Carlo dose calculation algorithm for electron treatment planning
title Evaluation of a commercial Monte Carlo dose calculation algorithm for electron treatment planning
title_full Evaluation of a commercial Monte Carlo dose calculation algorithm for electron treatment planning
title_fullStr Evaluation of a commercial Monte Carlo dose calculation algorithm for electron treatment planning
title_full_unstemmed Evaluation of a commercial Monte Carlo dose calculation algorithm for electron treatment planning
title_short Evaluation of a commercial Monte Carlo dose calculation algorithm for electron treatment planning
title_sort evaluation of a commercial monte carlo dose calculation algorithm for electron treatment planning
topic Radiation Measurements
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6560228/
https://www.ncbi.nlm.nih.gov/pubmed/31120615
http://dx.doi.org/10.1002/acm2.12622
work_keys_str_mv AT huangjessiey evaluationofacommercialmontecarlodosecalculationalgorithmforelectrontreatmentplanning
AT dunkerleydavid evaluationofacommercialmontecarlodosecalculationalgorithmforelectrontreatmentplanning
AT smilowitzjenniferb evaluationofacommercialmontecarlodosecalculationalgorithmforelectrontreatmentplanning