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BEBIG (60)Co HDR brachytherapy source dosimetric parameters validation using GATE Geant4-based simulation code

PURPOSE: This study aims to validate the dosimetric characteristics of High Dose Rate (HDR) (60)Co source (Co0.A86 model) using GATE Geant4-based Monte Carlo code. According to the recommendation of the American Association of Physicists in Medicine (AAPM) task group report number 43, the dosimetric...

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Autores principales: Joya, Musa, Nedaie, Hassan Ali, Geraily, Ghazale, Ghorbani, Mahdi, Sheikhzadeh, Peyman, Arani, Mahmud Naraqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971593/
https://www.ncbi.nlm.nih.gov/pubmed/35368537
http://dx.doi.org/10.1016/j.heliyon.2022.e09168
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author Joya, Musa
Nedaie, Hassan Ali
Geraily, Ghazale
Ghorbani, Mahdi
Sheikhzadeh, Peyman
Arani, Mahmud Naraqi
author_facet Joya, Musa
Nedaie, Hassan Ali
Geraily, Ghazale
Ghorbani, Mahdi
Sheikhzadeh, Peyman
Arani, Mahmud Naraqi
author_sort Joya, Musa
collection PubMed
description PURPOSE: This study aims to validate the dosimetric characteristics of High Dose Rate (HDR) (60)Co source (Co0.A86 model) using GATE Geant4-based Monte Carlo code. According to the recommendation of the American Association of Physicists in Medicine (AAPM) task group report number 43, the dosimetric parameters of a new brachytherapy source should be verified either experimentally or by Monte Carlo calculation before clinical applications. The validated (60)Co source in this study will be used for the simulation of intensity-modulated brachytherapy (IMBT) of vaginal cancer using the same GATE Geant4-based Monte Carlo code in the future. MATERIALS AND METHODS: GATE (version 9.0) simulation code was used to model and calculate the required TG-43U1 dosimetric data of the (60)Co HDR source. DoseActors were defined for calculation of dose rate constant, radial dose function, and anisotropy function in a water phantom with an 80 cm radius. RESULTS: The dose rate constant was obtained as [Formula: see text] which shows a relative difference of 2.01% compared to the consensus value, 1.092 [Formula: see text]. The calculated results of anisotropy and radial dose functions starting from 0.1 cm to 10 cm around the source showed excellent agreement with the results of published studies. The mean variation of the radial dose and anisotropy functions values from the consensus data were 1% and 0.9% respectively. CONCLUSION: Findings from this investigation revealed that the validation of the HDR (60)Co source is feasible by the GATE Geant4-based Monte Carlo code. As a result, the GATE Monte Carlo code can be used for the verification of the brachytherapy treatment planning system.
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spelling pubmed-89715932022-04-02 BEBIG (60)Co HDR brachytherapy source dosimetric parameters validation using GATE Geant4-based simulation code Joya, Musa Nedaie, Hassan Ali Geraily, Ghazale Ghorbani, Mahdi Sheikhzadeh, Peyman Arani, Mahmud Naraqi Heliyon Research Article PURPOSE: This study aims to validate the dosimetric characteristics of High Dose Rate (HDR) (60)Co source (Co0.A86 model) using GATE Geant4-based Monte Carlo code. According to the recommendation of the American Association of Physicists in Medicine (AAPM) task group report number 43, the dosimetric parameters of a new brachytherapy source should be verified either experimentally or by Monte Carlo calculation before clinical applications. The validated (60)Co source in this study will be used for the simulation of intensity-modulated brachytherapy (IMBT) of vaginal cancer using the same GATE Geant4-based Monte Carlo code in the future. MATERIALS AND METHODS: GATE (version 9.0) simulation code was used to model and calculate the required TG-43U1 dosimetric data of the (60)Co HDR source. DoseActors were defined for calculation of dose rate constant, radial dose function, and anisotropy function in a water phantom with an 80 cm radius. RESULTS: The dose rate constant was obtained as [Formula: see text] which shows a relative difference of 2.01% compared to the consensus value, 1.092 [Formula: see text]. The calculated results of anisotropy and radial dose functions starting from 0.1 cm to 10 cm around the source showed excellent agreement with the results of published studies. The mean variation of the radial dose and anisotropy functions values from the consensus data were 1% and 0.9% respectively. CONCLUSION: Findings from this investigation revealed that the validation of the HDR (60)Co source is feasible by the GATE Geant4-based Monte Carlo code. As a result, the GATE Monte Carlo code can be used for the verification of the brachytherapy treatment planning system. Elsevier 2022-03-27 /pmc/articles/PMC8971593/ /pubmed/35368537 http://dx.doi.org/10.1016/j.heliyon.2022.e09168 Text en © 2022 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Joya, Musa
Nedaie, Hassan Ali
Geraily, Ghazale
Ghorbani, Mahdi
Sheikhzadeh, Peyman
Arani, Mahmud Naraqi
BEBIG (60)Co HDR brachytherapy source dosimetric parameters validation using GATE Geant4-based simulation code
title BEBIG (60)Co HDR brachytherapy source dosimetric parameters validation using GATE Geant4-based simulation code
title_full BEBIG (60)Co HDR brachytherapy source dosimetric parameters validation using GATE Geant4-based simulation code
title_fullStr BEBIG (60)Co HDR brachytherapy source dosimetric parameters validation using GATE Geant4-based simulation code
title_full_unstemmed BEBIG (60)Co HDR brachytherapy source dosimetric parameters validation using GATE Geant4-based simulation code
title_short BEBIG (60)Co HDR brachytherapy source dosimetric parameters validation using GATE Geant4-based simulation code
title_sort bebig (60)co hdr brachytherapy source dosimetric parameters validation using gate geant4-based simulation code
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971593/
https://www.ncbi.nlm.nih.gov/pubmed/35368537
http://dx.doi.org/10.1016/j.heliyon.2022.e09168
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