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Improved biological dosimetric margin model for different PTV margins with stereotactic body radiation therapy in homogeneous and nonhomogeneous tumor regions
BACKGROUND: The purpose of this study was to improve the biological dosimetric margin (BDM) corresponding to different planning target volume (PTV) margins in homogeneous and nonhomogeneous tumor regions using an improved biological conversion factor (BCF) model for stereotactic body radiation thera...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Via Medica
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746637/ https://www.ncbi.nlm.nih.gov/pubmed/36523809 http://dx.doi.org/10.5603/RPOR.a2022.0086 |
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author | Kawahara, Daisuke Saito, Akito Nagata, Yasushi |
author_facet | Kawahara, Daisuke Saito, Akito Nagata, Yasushi |
author_sort | Kawahara, Daisuke |
collection | PubMed |
description | BACKGROUND: The purpose of this study was to improve the biological dosimetric margin (BDM) corresponding to different planning target volume (PTV) margins in homogeneous and nonhomogeneous tumor regions using an improved biological conversion factor (BCF) model for stereotactic body radiation therapy (SBRT). MATERIALS AND METHODS: The PTV margin was 5–20 mm from the clinical target volume. The biologically equivalent dose (BED) was calculated using the linear–quadratic model. The biological parameters were α/β = 10 Gy, and the dose per fraction (DPF) was d = 3–20 Gy/fr. The isocenter was offset at intervals of 1 mm; 95% of the clinical target volume covered more than 90% of the prescribed physical dose, and BED was defined as biological and physical DMs. The BCF formula was defined as a function of the DPF. RESULTS: The difference in the BCF caused by the DPF was within 0.05 for the homogeneous and nonhomogeneous phantoms. In the virtual nonhomogeneous phantom, the data with a PTV margin of 10–20 mm were not significantly different; thus, these were combined to fit the BCF. In the virtual homogeneous phantom, the BCF was fitted to each PTV margin. CONCLUSIONS: The current study improved a scheme to estimate the BDM considering the size of the PTV margin and homogeneous and nonhomogeneous regions. This technique is expected to enable BED-based treatment planning using treatment systems based on physical doses for SBRT. |
format | Online Article Text |
id | pubmed-9746637 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Via Medica |
record_format | MEDLINE/PubMed |
spelling | pubmed-97466372022-12-14 Improved biological dosimetric margin model for different PTV margins with stereotactic body radiation therapy in homogeneous and nonhomogeneous tumor regions Kawahara, Daisuke Saito, Akito Nagata, Yasushi Rep Pract Oncol Radiother Research Paper BACKGROUND: The purpose of this study was to improve the biological dosimetric margin (BDM) corresponding to different planning target volume (PTV) margins in homogeneous and nonhomogeneous tumor regions using an improved biological conversion factor (BCF) model for stereotactic body radiation therapy (SBRT). MATERIALS AND METHODS: The PTV margin was 5–20 mm from the clinical target volume. The biologically equivalent dose (BED) was calculated using the linear–quadratic model. The biological parameters were α/β = 10 Gy, and the dose per fraction (DPF) was d = 3–20 Gy/fr. The isocenter was offset at intervals of 1 mm; 95% of the clinical target volume covered more than 90% of the prescribed physical dose, and BED was defined as biological and physical DMs. The BCF formula was defined as a function of the DPF. RESULTS: The difference in the BCF caused by the DPF was within 0.05 for the homogeneous and nonhomogeneous phantoms. In the virtual nonhomogeneous phantom, the data with a PTV margin of 10–20 mm were not significantly different; thus, these were combined to fit the BCF. In the virtual homogeneous phantom, the BCF was fitted to each PTV margin. CONCLUSIONS: The current study improved a scheme to estimate the BDM considering the size of the PTV margin and homogeneous and nonhomogeneous regions. This technique is expected to enable BED-based treatment planning using treatment systems based on physical doses for SBRT. Via Medica 2022-10-31 /pmc/articles/PMC9746637/ /pubmed/36523809 http://dx.doi.org/10.5603/RPOR.a2022.0086 Text en © 2022 Greater Poland Cancer Centre https://creativecommons.org/licenses/by-nc-nd/4.0/This article is available in open access under Creative Common Attribution-Non-Commercial-No Derivatives 4.0 International (CC BY-NC-ND 4.0) license, allowing to download articles and share them with others as long as they credit the authors and the publisher, but without permission to change them in any way or use them commercially |
spellingShingle | Research Paper Kawahara, Daisuke Saito, Akito Nagata, Yasushi Improved biological dosimetric margin model for different PTV margins with stereotactic body radiation therapy in homogeneous and nonhomogeneous tumor regions |
title | Improved biological dosimetric margin model for different PTV margins with stereotactic body radiation therapy in homogeneous and nonhomogeneous tumor regions |
title_full | Improved biological dosimetric margin model for different PTV margins with stereotactic body radiation therapy in homogeneous and nonhomogeneous tumor regions |
title_fullStr | Improved biological dosimetric margin model for different PTV margins with stereotactic body radiation therapy in homogeneous and nonhomogeneous tumor regions |
title_full_unstemmed | Improved biological dosimetric margin model for different PTV margins with stereotactic body radiation therapy in homogeneous and nonhomogeneous tumor regions |
title_short | Improved biological dosimetric margin model for different PTV margins with stereotactic body radiation therapy in homogeneous and nonhomogeneous tumor regions |
title_sort | improved biological dosimetric margin model for different ptv margins with stereotactic body radiation therapy in homogeneous and nonhomogeneous tumor regions |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746637/ https://www.ncbi.nlm.nih.gov/pubmed/36523809 http://dx.doi.org/10.5603/RPOR.a2022.0086 |
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