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Providing a fast conversion of total dose to biological effective dose (BED) for hybrid seed brachytherapy

Optimization of permanent seed implant brachytherapy plans for treatment of prostate cancer should be based on biological effective dose (BED) distributions, since dose does not accurately represent biological effects between different types of sources. Currently, biological optimization for these p...

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Detalles Bibliográficos
Autores principales: Pritz, Jakub, Forster, Kenneth M., Saini, Amarjit S., Biagioli, Matthew C., Zhang, Geoffrey G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5718217/
https://www.ncbi.nlm.nih.gov/pubmed/22955644
http://dx.doi.org/10.1120/jacmp.v13i5.3800
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author Pritz, Jakub
Forster, Kenneth M.
Saini, Amarjit S.
Biagioli, Matthew C.
Zhang, Geoffrey G.
author_facet Pritz, Jakub
Forster, Kenneth M.
Saini, Amarjit S.
Biagioli, Matthew C.
Zhang, Geoffrey G.
author_sort Pritz, Jakub
collection PubMed
description Optimization of permanent seed implant brachytherapy plans for treatment of prostate cancer should be based on biological effective dose (BED) distributions, since dose does not accurately represent biological effects between different types of sources. Currently, biological optimization for these plans is not feasible due to the amount of time necessary to calculate the BED distribution. This study provides a fast calculation method, based on the total dose, to calculate the BED distribution. Distributions of various numbers of hybrid seeds were used to calculate total dose distributions, as well as BED distributions. Hybrid seeds are a mixture of different isotopes (in this study (125)I and (103)Pd). Three ratios of hybrid seeds were investigated: 25/75, 50/50, and 75/25. The total dose and BED value from each voxel were coupled together to produce graphs of total dose vs. BED. Equations were then derived from these graphs. The study investigated four types of tissue: bladder, rectum, prostate, and other normal tissue. Equations were derived from the total dose – BED correspondence. Accuracy of conversion from total dose to BED was within 2 Gy; however, accuracy of conversion was found to be better for high total dose regions as compared to lower dose regions. The method introduced in this paper allows one to perform fast conversion of total dose to BED for brachytherapy using hybrid seeds, which makes the BED‐based plan optimization practical. The method defined here can be extended to other ratios, as well as other tissues that are affected by permanent seed implant brachytherapy (i.e., breast). PACS number: 87.55.de
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spelling pubmed-57182172018-04-02 Providing a fast conversion of total dose to biological effective dose (BED) for hybrid seed brachytherapy Pritz, Jakub Forster, Kenneth M. Saini, Amarjit S. Biagioli, Matthew C. Zhang, Geoffrey G. J Appl Clin Med Phys Radiation Oncology Physics Optimization of permanent seed implant brachytherapy plans for treatment of prostate cancer should be based on biological effective dose (BED) distributions, since dose does not accurately represent biological effects between different types of sources. Currently, biological optimization for these plans is not feasible due to the amount of time necessary to calculate the BED distribution. This study provides a fast calculation method, based on the total dose, to calculate the BED distribution. Distributions of various numbers of hybrid seeds were used to calculate total dose distributions, as well as BED distributions. Hybrid seeds are a mixture of different isotopes (in this study (125)I and (103)Pd). Three ratios of hybrid seeds were investigated: 25/75, 50/50, and 75/25. The total dose and BED value from each voxel were coupled together to produce graphs of total dose vs. BED. Equations were then derived from these graphs. The study investigated four types of tissue: bladder, rectum, prostate, and other normal tissue. Equations were derived from the total dose – BED correspondence. Accuracy of conversion from total dose to BED was within 2 Gy; however, accuracy of conversion was found to be better for high total dose regions as compared to lower dose regions. The method introduced in this paper allows one to perform fast conversion of total dose to BED for brachytherapy using hybrid seeds, which makes the BED‐based plan optimization practical. The method defined here can be extended to other ratios, as well as other tissues that are affected by permanent seed implant brachytherapy (i.e., breast). PACS number: 87.55.de John Wiley and Sons Inc. 2012-09-06 /pmc/articles/PMC5718217/ /pubmed/22955644 http://dx.doi.org/10.1120/jacmp.v13i5.3800 Text en © 2012 The Authors. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Radiation Oncology Physics
Pritz, Jakub
Forster, Kenneth M.
Saini, Amarjit S.
Biagioli, Matthew C.
Zhang, Geoffrey G.
Providing a fast conversion of total dose to biological effective dose (BED) for hybrid seed brachytherapy
title Providing a fast conversion of total dose to biological effective dose (BED) for hybrid seed brachytherapy
title_full Providing a fast conversion of total dose to biological effective dose (BED) for hybrid seed brachytherapy
title_fullStr Providing a fast conversion of total dose to biological effective dose (BED) for hybrid seed brachytherapy
title_full_unstemmed Providing a fast conversion of total dose to biological effective dose (BED) for hybrid seed brachytherapy
title_short Providing a fast conversion of total dose to biological effective dose (BED) for hybrid seed brachytherapy
title_sort providing a fast conversion of total dose to biological effective dose (bed) for hybrid seed brachytherapy
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5718217/
https://www.ncbi.nlm.nih.gov/pubmed/22955644
http://dx.doi.org/10.1120/jacmp.v13i5.3800
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