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Estimation of cell response in fractionation radiotherapy using different methods derived from linear quadratic model

BACKGROUND: The aim of this study was to use various theoretical methods derived from the Linear Quadratic (LQ) model to calculate the effects of number of subfractions, time intervals between subfractions, dose per subfraction, and overall fraction time on the cells’ survival. Comparison of the res...

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Autores principales: Nikzad, Safoora, Hashemi, Bijan, Mahmoudi, Golshan, Baradaran-Ghahfarokhi, Milad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Versita, Warsaw 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4722925/
https://www.ncbi.nlm.nih.gov/pubmed/26834521
http://dx.doi.org/10.1515/raon-2015-0040
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author Nikzad, Safoora
Hashemi, Bijan
Mahmoudi, Golshan
Baradaran-Ghahfarokhi, Milad
author_facet Nikzad, Safoora
Hashemi, Bijan
Mahmoudi, Golshan
Baradaran-Ghahfarokhi, Milad
author_sort Nikzad, Safoora
collection PubMed
description BACKGROUND: The aim of this study was to use various theoretical methods derived from the Linear Quadratic (LQ) model to calculate the effects of number of subfractions, time intervals between subfractions, dose per subfraction, and overall fraction time on the cells’ survival. Comparison of the results with experimental outcomes of melanoma and breast adenocarcinoma cells was also performed. Finally, the best matched method with experimental outcomes is introduced as the most accurate method in predicting the cell response. MATERIALS AND METHODS. The most widely used theoretical methods in the literature, presented by Keall et al., Brenner, and Mu et al., were used to calculate the cells’ survival following radiotherapy with different treatment schemes. The overall treatment times were ranged from 15 to 240 minutes. To investigate the effects of number of subfractions and dose per subfraction, the cells’ survival after different treatment delivery scenarios were calculated through fixed overall treatment times of 30, 60 and 240 minutes. The experimental tests were done for dose of 4 Gy. The results were compared with those of the theoretical outcomes. RESULTS: The most affective parameter on the cells’ survival was the overall treatment time. However, the number of subfractions per fractions was another effecting parameter in the theoretical models. This parameter showed no significant effect on the cells’ survival in experimental schemes. The variations in number of subfractions per each fraction showed different results on the cells’ survival, calculated by Keall et al. and Brenner methods (P<0.05). CONCLUSIONS: Mu et al. method can predict the cells’ survival following fractionation radiotherapy more accurately than the other models. Using Mu et al. method, as an accurate and simple method to predict the cell response after fractionation radiotherapy, is suggested for clinical applications.
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spelling pubmed-47229252016-02-01 Estimation of cell response in fractionation radiotherapy using different methods derived from linear quadratic model Nikzad, Safoora Hashemi, Bijan Mahmoudi, Golshan Baradaran-Ghahfarokhi, Milad Radiol Oncol Research Article BACKGROUND: The aim of this study was to use various theoretical methods derived from the Linear Quadratic (LQ) model to calculate the effects of number of subfractions, time intervals between subfractions, dose per subfraction, and overall fraction time on the cells’ survival. Comparison of the results with experimental outcomes of melanoma and breast adenocarcinoma cells was also performed. Finally, the best matched method with experimental outcomes is introduced as the most accurate method in predicting the cell response. MATERIALS AND METHODS. The most widely used theoretical methods in the literature, presented by Keall et al., Brenner, and Mu et al., were used to calculate the cells’ survival following radiotherapy with different treatment schemes. The overall treatment times were ranged from 15 to 240 minutes. To investigate the effects of number of subfractions and dose per subfraction, the cells’ survival after different treatment delivery scenarios were calculated through fixed overall treatment times of 30, 60 and 240 minutes. The experimental tests were done for dose of 4 Gy. The results were compared with those of the theoretical outcomes. RESULTS: The most affective parameter on the cells’ survival was the overall treatment time. However, the number of subfractions per fractions was another effecting parameter in the theoretical models. This parameter showed no significant effect on the cells’ survival in experimental schemes. The variations in number of subfractions per each fraction showed different results on the cells’ survival, calculated by Keall et al. and Brenner methods (P<0.05). CONCLUSIONS: Mu et al. method can predict the cells’ survival following fractionation radiotherapy more accurately than the other models. Using Mu et al. method, as an accurate and simple method to predict the cell response after fractionation radiotherapy, is suggested for clinical applications. Versita, Warsaw 2015-11-27 /pmc/articles/PMC4722925/ /pubmed/26834521 http://dx.doi.org/10.1515/raon-2015-0040 Text en Copyright © by Association of Radiology & Oncology http://creativecommons.org/licenses/by/3.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Research Article
Nikzad, Safoora
Hashemi, Bijan
Mahmoudi, Golshan
Baradaran-Ghahfarokhi, Milad
Estimation of cell response in fractionation radiotherapy using different methods derived from linear quadratic model
title Estimation of cell response in fractionation radiotherapy using different methods derived from linear quadratic model
title_full Estimation of cell response in fractionation radiotherapy using different methods derived from linear quadratic model
title_fullStr Estimation of cell response in fractionation radiotherapy using different methods derived from linear quadratic model
title_full_unstemmed Estimation of cell response in fractionation radiotherapy using different methods derived from linear quadratic model
title_short Estimation of cell response in fractionation radiotherapy using different methods derived from linear quadratic model
title_sort estimation of cell response in fractionation radiotherapy using different methods derived from linear quadratic model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4722925/
https://www.ncbi.nlm.nih.gov/pubmed/26834521
http://dx.doi.org/10.1515/raon-2015-0040
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