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An analytical model to determine interseed attenuation effect in low‐dose‐rate brachytherapy
Brachytherapy treatment planning systems (BTPS) are employing the American Association of Physicists in Medicine (AAPM) Task Group 43 (TG‐43)‐recommended dosimetric parameters of sources, which are measured in water. The majority of brachytherapy implant volumes are not homogeneous media. Particular...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5714425/ https://www.ncbi.nlm.nih.gov/pubmed/23652254 http://dx.doi.org/10.1120/jacmp.v14i3.4226 |
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author | Safigholi, Habib Sardari, Dariush Jashni, Somaye Karimi Mahdavi, Seied Rabi Meigooni, Ali S. |
author_facet | Safigholi, Habib Sardari, Dariush Jashni, Somaye Karimi Mahdavi, Seied Rabi Meigooni, Ali S. |
author_sort | Safigholi, Habib |
collection | PubMed |
description | Brachytherapy treatment planning systems (BTPS) are employing the American Association of Physicists in Medicine (AAPM) Task Group 43 (TG‐43)‐recommended dosimetric parameters of sources, which are measured in water. The majority of brachytherapy implant volumes are not homogeneous media. Particularly, an implant with multiple seeds significantly changes homogeneity of the implant volume. Heterogeneities, such as attenuation by adjacent seeds or interseed attenuation (ISA), are neglected to this day in all BTPS. The goal of this project is to determine a novel analytical method to evaluate the impact of the dose perturbations (P‐value) and/or interseed attenuation effect (ISA‐value). This method will be validated for low‐ and high‐energy brachytherapy seeds such as [Formula: see text] and [Formula: see text] using Monte Carlo (MC) simulation techniques. In this analytical model, determination of dose perturbation and interseed attenuation in a multisource brachytherapy implant is based on MC‐simulated 3D kernels of P‐values and ISA data for single active and single dummy configurations, arranged at different distances and orientations relative to each other. The accuracy of the final model in multisource implant configurations has been examined by a comparison of the calculated P‐values and ISA‐values with full Monte Carlo water simulations (FMCWS). This model enabled us to determine the total perturbation and ISA values for any multisource implant, and the results are in excellent agreement with the FMCWS data. The advantage of this model to FMCWS for daily clinical application is the speed of the calculations and ease of the implementation. The new perturbation and ISA formulism have shown a better accuracy for [Formula: see text] than [Formula: see text] due to Compton scattering and its independence of the atomic number of the chemical composition of the phantom materials. The maximum difference between the ISA model and FMCWS for all cases was less than 5%. This new model can provide inputs for brachytherapy planning software to consider the ISA effect in dose calculations based on TG‐43U1 algorithm. This approach is applicable for energy range of [Formula: see text] to [Formula: see text] sources. PACS number: 87.53.Jw |
format | Online Article Text |
id | pubmed-5714425 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-57144252018-04-02 An analytical model to determine interseed attenuation effect in low‐dose‐rate brachytherapy Safigholi, Habib Sardari, Dariush Jashni, Somaye Karimi Mahdavi, Seied Rabi Meigooni, Ali S. J Appl Clin Med Phys Radiation Oncology Physics Brachytherapy treatment planning systems (BTPS) are employing the American Association of Physicists in Medicine (AAPM) Task Group 43 (TG‐43)‐recommended dosimetric parameters of sources, which are measured in water. The majority of brachytherapy implant volumes are not homogeneous media. Particularly, an implant with multiple seeds significantly changes homogeneity of the implant volume. Heterogeneities, such as attenuation by adjacent seeds or interseed attenuation (ISA), are neglected to this day in all BTPS. The goal of this project is to determine a novel analytical method to evaluate the impact of the dose perturbations (P‐value) and/or interseed attenuation effect (ISA‐value). This method will be validated for low‐ and high‐energy brachytherapy seeds such as [Formula: see text] and [Formula: see text] using Monte Carlo (MC) simulation techniques. In this analytical model, determination of dose perturbation and interseed attenuation in a multisource brachytherapy implant is based on MC‐simulated 3D kernels of P‐values and ISA data for single active and single dummy configurations, arranged at different distances and orientations relative to each other. The accuracy of the final model in multisource implant configurations has been examined by a comparison of the calculated P‐values and ISA‐values with full Monte Carlo water simulations (FMCWS). This model enabled us to determine the total perturbation and ISA values for any multisource implant, and the results are in excellent agreement with the FMCWS data. The advantage of this model to FMCWS for daily clinical application is the speed of the calculations and ease of the implementation. The new perturbation and ISA formulism have shown a better accuracy for [Formula: see text] than [Formula: see text] due to Compton scattering and its independence of the atomic number of the chemical composition of the phantom materials. The maximum difference between the ISA model and FMCWS for all cases was less than 5%. This new model can provide inputs for brachytherapy planning software to consider the ISA effect in dose calculations based on TG‐43U1 algorithm. This approach is applicable for energy range of [Formula: see text] to [Formula: see text] sources. PACS number: 87.53.Jw John Wiley and Sons Inc. 2013-05-06 /pmc/articles/PMC5714425/ /pubmed/23652254 http://dx.doi.org/10.1120/jacmp.v14i3.4226 Text en © 2013 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 Safigholi, Habib Sardari, Dariush Jashni, Somaye Karimi Mahdavi, Seied Rabi Meigooni, Ali S. An analytical model to determine interseed attenuation effect in low‐dose‐rate brachytherapy |
title | An analytical model to determine interseed attenuation effect in low‐dose‐rate brachytherapy |
title_full | An analytical model to determine interseed attenuation effect in low‐dose‐rate brachytherapy |
title_fullStr | An analytical model to determine interseed attenuation effect in low‐dose‐rate brachytherapy |
title_full_unstemmed | An analytical model to determine interseed attenuation effect in low‐dose‐rate brachytherapy |
title_short | An analytical model to determine interseed attenuation effect in low‐dose‐rate brachytherapy |
title_sort | analytical model to determine interseed attenuation effect in low‐dose‐rate brachytherapy |
topic | Radiation Oncology Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5714425/ https://www.ncbi.nlm.nih.gov/pubmed/23652254 http://dx.doi.org/10.1120/jacmp.v14i3.4226 |
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