Some comments on radiobiological models and the consistent Taylor series model.

Detalhes bibliográficos
Autor(a) principal: Alvarez, Gustavo Benitez
Data de Publicação: 2023
Outros Autores: Lobão, Diomar Cesar
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa e Ensino em Ciências Exatas e da Natureza
Texto Completo: https://cfp.revistas.ufcg.edu.br/cfp/index.php/RPECEN/article/view/e1987
Resumo: Here it is mathematically shown that the Linear Quadratic model is insuffcient to adequately describe the survival curve of some cell lines, and that the β parameter of this model is dependent on the dose range used for curve fitting. Therefore, higher-order polynomials are needed to have a single formula that describes the survival of all cell lines at all dose ranges. Based on the Taylor series and two mathematical hypotheses, it is possible to show that the free parameters are dependent on each other. A new approach is proposed to eliminate this interdependence between the free parameters of the Taylor series expansion. The available experimental data on survival curves indicate that there are at least three different behaviors. The theoretical analysis is tested for these three different behaviors, including also five known models not based on Taylor series. Based on experimental cell survival data it is possible to generate charts on the isoeffective total dose in fractionation. A comparative study on the performance of each model in different fractionation schemes is carried out. Experimental data show that fractionation in the low and medium dose ranges can present a non-monotonic behavior, and that most models not based on the Taylor series are unable to reproduce this behavior. Furthermore, to reproduce this nonmonotonic behavior it is necessary to use polynomials of order greater than five. Finally, it is shown that for some cell lines, hyperfractionation presents a considerable therapeutic gain when compared to conventional fractionation, since there are cases in which the isoeffective total dose in hyperfractionation is much lower than the total dose in conventional fractionation.
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spelling Some comments on radiobiological models and the consistent Taylor series model.Here it is mathematically shown that the Linear Quadratic model is insuffcient to adequately describe the survival curve of some cell lines, and that the β parameter of this model is dependent on the dose range used for curve fitting. Therefore, higher-order polynomials are needed to have a single formula that describes the survival of all cell lines at all dose ranges. Based on the Taylor series and two mathematical hypotheses, it is possible to show that the free parameters are dependent on each other. A new approach is proposed to eliminate this interdependence between the free parameters of the Taylor series expansion. The available experimental data on survival curves indicate that there are at least three different behaviors. The theoretical analysis is tested for these three different behaviors, including also five known models not based on Taylor series. Based on experimental cell survival data it is possible to generate charts on the isoeffective total dose in fractionation. A comparative study on the performance of each model in different fractionation schemes is carried out. Experimental data show that fractionation in the low and medium dose ranges can present a non-monotonic behavior, and that most models not based on the Taylor series are unable to reproduce this behavior. Furthermore, to reproduce this nonmonotonic behavior it is necessary to use polynomials of order greater than five. Finally, it is shown that for some cell lines, hyperfractionation presents a considerable therapeutic gain when compared to conventional fractionation, since there are cases in which the isoeffective total dose in hyperfractionation is much lower than the total dose in conventional fractionation.Unidade Acadêmica de Ciências Exatas e da Natureza/CFP/UFCG2023-05-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cfp.revistas.ufcg.edu.br/cfp/index.php/RPECEN/article/view/e1987Pesquisa e Ensino em Ciências Exatas e da Natureza; v. 7 n. 1 (2023): Pesquisa e Ensino em Ciências Exatas e da Natureza; 22-492526-8236reponame:Pesquisa e Ensino em Ciências Exatas e da Naturezainstname:Universidade Federal de Campina Grande (UFCG)instacron:UFCGenghttps://cfp.revistas.ufcg.edu.br/cfp/index.php/RPECEN/article/view/e1987/pdfCopyright (c) 2023 Autor e Revista mantêm os direitos da publicaçãoinfo:eu-repo/semantics/openAccessAlvarez, Gustavo BenitezLobão, Diomar Cesar2023-10-18T22:23:08Zoai:ojs.cfp.revistas.ufcg.edu.br:article/1987Revistahttps://cfp.revistas.ufcg.edu.br/cfp/index.php/RPECENPUBhttps://cfp.revistas.ufcg.edu.br/cfp/index.php/RPECEN/oai||cienciasexatasenatureza@gmail.com2526-82362526-8236opendoar:2023-10-18T22:23:08Pesquisa e Ensino em Ciências Exatas e da Natureza - Universidade Federal de Campina Grande (UFCG)false
dc.title.none.fl_str_mv Some comments on radiobiological models and the consistent Taylor series model.
title Some comments on radiobiological models and the consistent Taylor series model.
spellingShingle Some comments on radiobiological models and the consistent Taylor series model.
Alvarez, Gustavo Benitez
title_short Some comments on radiobiological models and the consistent Taylor series model.
title_full Some comments on radiobiological models and the consistent Taylor series model.
title_fullStr Some comments on radiobiological models and the consistent Taylor series model.
title_full_unstemmed Some comments on radiobiological models and the consistent Taylor series model.
title_sort Some comments on radiobiological models and the consistent Taylor series model.
author Alvarez, Gustavo Benitez
author_facet Alvarez, Gustavo Benitez
Lobão, Diomar Cesar
author_role author
author2 Lobão, Diomar Cesar
author2_role author
dc.contributor.author.fl_str_mv Alvarez, Gustavo Benitez
Lobão, Diomar Cesar
description Here it is mathematically shown that the Linear Quadratic model is insuffcient to adequately describe the survival curve of some cell lines, and that the β parameter of this model is dependent on the dose range used for curve fitting. Therefore, higher-order polynomials are needed to have a single formula that describes the survival of all cell lines at all dose ranges. Based on the Taylor series and two mathematical hypotheses, it is possible to show that the free parameters are dependent on each other. A new approach is proposed to eliminate this interdependence between the free parameters of the Taylor series expansion. The available experimental data on survival curves indicate that there are at least three different behaviors. The theoretical analysis is tested for these three different behaviors, including also five known models not based on Taylor series. Based on experimental cell survival data it is possible to generate charts on the isoeffective total dose in fractionation. A comparative study on the performance of each model in different fractionation schemes is carried out. Experimental data show that fractionation in the low and medium dose ranges can present a non-monotonic behavior, and that most models not based on the Taylor series are unable to reproduce this behavior. Furthermore, to reproduce this nonmonotonic behavior it is necessary to use polynomials of order greater than five. Finally, it is shown that for some cell lines, hyperfractionation presents a considerable therapeutic gain when compared to conventional fractionation, since there are cases in which the isoeffective total dose in hyperfractionation is much lower than the total dose in conventional fractionation.
publishDate 2023
dc.date.none.fl_str_mv 2023-05-31
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language eng
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dc.rights.driver.fl_str_mv Copyright (c) 2023 Autor e Revista mantêm os direitos da publicação
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Autor e Revista mantêm os direitos da publicação
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Unidade Acadêmica de Ciências Exatas e da Natureza/CFP/UFCG
publisher.none.fl_str_mv Unidade Acadêmica de Ciências Exatas e da Natureza/CFP/UFCG
dc.source.none.fl_str_mv Pesquisa e Ensino em Ciências Exatas e da Natureza; v. 7 n. 1 (2023): Pesquisa e Ensino em Ciências Exatas e da Natureza; 22-49
2526-8236
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reponame_str Pesquisa e Ensino em Ciências Exatas e da Natureza
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repository.name.fl_str_mv Pesquisa e Ensino em Ciências Exatas e da Natureza - Universidade Federal de Campina Grande (UFCG)
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