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Out-of-Field Dose Calculation by a Commercial Treatment Planning System and Comparison by Monte Carlo Simulation for Varian TrueBeam(®)

PURPOSE: The calculation accuracy of treatment planning systems (TPSs) drops drastically when the points outside the field edges are considered. The real accuracy of a TPS and linear accelerator (linac) combination for regions outside the field edge is a subject which demands more study. In this stu...

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Autores principales: Shine, N. S., Paramu, Raghukumar, Gopinath, M., Jaon Bos, R. C., Jayadevan, P. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764172/
https://www.ncbi.nlm.nih.gov/pubmed/31576064
http://dx.doi.org/10.4103/jmp.JMP_82_18
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author Shine, N. S.
Paramu, Raghukumar
Gopinath, M.
Jaon Bos, R. C.
Jayadevan, P. M.
author_facet Shine, N. S.
Paramu, Raghukumar
Gopinath, M.
Jaon Bos, R. C.
Jayadevan, P. M.
author_sort Shine, N. S.
collection PubMed
description PURPOSE: The calculation accuracy of treatment planning systems (TPSs) drops drastically when the points outside the field edges are considered. The real accuracy of a TPS and linear accelerator (linac) combination for regions outside the field edge is a subject which demands more study. In this study, the accuracy of out-of-field dose calculated by a TPS, used with a TrueBeam(®) (TB) linac, is quantified. MATERIALS AND METHODS: For dose calculation, Eclipse™ version 13.7 commissioned for TB machine was used. For comparison, Monte Carlo (MC) methods, as well as the measurements, were used. The VirtuaLinac, a Geant 4-based MC program which is offered as a cloud solution, is used for the generation of input phase-space (PS) files. This PS file was imported into PRIMO (PENELOPE based MC program) for the simulation of out-of-field dose. RESULTS: In this study, the accuracy of the out-of-field dose calculated by a TPS for a TB linac was estimated. As per the results in comparison with MC simulations, the TPS underestimated the dose by around 45% on an average for the off-axis-distance range considered in this study. As the off-axis distance increased, the underestimation of the dose also increased. CONCLUSION: In this work, it was observed that the TPS underestimates doses beyond the edges of treatment fields for a clinical treatment executed on a TB machine. This indicates that the out-of-field dose from TPSs should only be used with a clear understanding of the inaccuracy of dose calculations beyond the edge of the field.
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spelling pubmed-67641722019-10-01 Out-of-Field Dose Calculation by a Commercial Treatment Planning System and Comparison by Monte Carlo Simulation for Varian TrueBeam(®) Shine, N. S. Paramu, Raghukumar Gopinath, M. Jaon Bos, R. C. Jayadevan, P. M. J Med Phys Original Article PURPOSE: The calculation accuracy of treatment planning systems (TPSs) drops drastically when the points outside the field edges are considered. The real accuracy of a TPS and linear accelerator (linac) combination for regions outside the field edge is a subject which demands more study. In this study, the accuracy of out-of-field dose calculated by a TPS, used with a TrueBeam(®) (TB) linac, is quantified. MATERIALS AND METHODS: For dose calculation, Eclipse™ version 13.7 commissioned for TB machine was used. For comparison, Monte Carlo (MC) methods, as well as the measurements, were used. The VirtuaLinac, a Geant 4-based MC program which is offered as a cloud solution, is used for the generation of input phase-space (PS) files. This PS file was imported into PRIMO (PENELOPE based MC program) for the simulation of out-of-field dose. RESULTS: In this study, the accuracy of the out-of-field dose calculated by a TPS for a TB linac was estimated. As per the results in comparison with MC simulations, the TPS underestimated the dose by around 45% on an average for the off-axis-distance range considered in this study. As the off-axis distance increased, the underestimation of the dose also increased. CONCLUSION: In this work, it was observed that the TPS underestimates doses beyond the edges of treatment fields for a clinical treatment executed on a TB machine. This indicates that the out-of-field dose from TPSs should only be used with a clear understanding of the inaccuracy of dose calculations beyond the edge of the field. Wolters Kluwer - Medknow 2019 /pmc/articles/PMC6764172/ /pubmed/31576064 http://dx.doi.org/10.4103/jmp.JMP_82_18 Text en Copyright: © 2019 Journal of Medical Physics http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Shine, N. S.
Paramu, Raghukumar
Gopinath, M.
Jaon Bos, R. C.
Jayadevan, P. M.
Out-of-Field Dose Calculation by a Commercial Treatment Planning System and Comparison by Monte Carlo Simulation for Varian TrueBeam(®)
title Out-of-Field Dose Calculation by a Commercial Treatment Planning System and Comparison by Monte Carlo Simulation for Varian TrueBeam(®)
title_full Out-of-Field Dose Calculation by a Commercial Treatment Planning System and Comparison by Monte Carlo Simulation for Varian TrueBeam(®)
title_fullStr Out-of-Field Dose Calculation by a Commercial Treatment Planning System and Comparison by Monte Carlo Simulation for Varian TrueBeam(®)
title_full_unstemmed Out-of-Field Dose Calculation by a Commercial Treatment Planning System and Comparison by Monte Carlo Simulation for Varian TrueBeam(®)
title_short Out-of-Field Dose Calculation by a Commercial Treatment Planning System and Comparison by Monte Carlo Simulation for Varian TrueBeam(®)
title_sort out-of-field dose calculation by a commercial treatment planning system and comparison by monte carlo simulation for varian truebeam(®)
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764172/
https://www.ncbi.nlm.nih.gov/pubmed/31576064
http://dx.doi.org/10.4103/jmp.JMP_82_18
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