A mathematical model for the estimation of treatment cost in cancer radiotherapy
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Vetor (Online) |
Texto Completo: | https://periodicos.furg.br/vetor/article/view/1659 |
Resumo: | In this work we present a methodology for the investigation of costs of cancer treatment by radiotherapy, aiming to reduce the undesired effects of radiation and to obtain better results of the treatment. The tumor growth is simulated by using a mathematical model composed of three ordinary diferential equations corresponding to the population of Normal, Tumoral and Imune cells. The effect of radiation over each type of cells is considered using the linear quadratic model applied for the various distinct treatment protocols investigated. Cost of treatment is obtained using a model based on the concept of tumor cure probability, cost per fraction and cost of failure. The concept of biological effective dose is used in order to compare differente treatment protocols. We investigated different protocols currently used for various tumor types. Our results show that with this approach it is possible to obtain more efficient protocols with lower cost that those used. It is also possible to investigate the effect of fractionation protocols on the tumor evolution in order to obtain less aggressive protocols that are effective for patient cure with lower total dose and in smaller treatment time. |
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A mathematical model for the estimation of treatment cost in cancer radiotherapyModelo matemático para estimação do custo do tratamento do câncer por radioterapiaCrescimento de tumoresRadioterapiaCusto de tratamentoModelagem matemáticaIn this work we present a methodology for the investigation of costs of cancer treatment by radiotherapy, aiming to reduce the undesired effects of radiation and to obtain better results of the treatment. The tumor growth is simulated by using a mathematical model composed of three ordinary diferential equations corresponding to the population of Normal, Tumoral and Imune cells. The effect of radiation over each type of cells is considered using the linear quadratic model applied for the various distinct treatment protocols investigated. Cost of treatment is obtained using a model based on the concept of tumor cure probability, cost per fraction and cost of failure. The concept of biological effective dose is used in order to compare differente treatment protocols. We investigated different protocols currently used for various tumor types. Our results show that with this approach it is possible to obtain more efficient protocols with lower cost that those used. It is also possible to investigate the effect of fractionation protocols on the tumor evolution in order to obtain less aggressive protocols that are effective for patient cure with lower total dose and in smaller treatment time.Uma metodologia alternativa para o estudo do custo do tratamento do câncer através da radioterapia é proposta nesse trabalho. Essa metodologia tem como objetivo diminuir os efeitos indesejados causados pela radiação e obter um melhor custo-benefício, a partir de resultados obtidos da modelagem matemática. O crescimento do tumor é simulado através do modelo matemático representado por um sistema de três equações diferenciais ordinárias no qual são consideradas células normais, imunológicas e tumorais. O efeito do tratamento por radioterapia é simulado pela aplicação do modelo linear quadrático. O custo do tratamento é calculado utilizando um modelo no qual se considera a probabilidade de cura do tumor, o custo por fração de aplicação e o custo de falha do tratamento. Para comparação entre os diferentes protocolos de tratamento é usado o conceito de dose biológica efetiva. Os resultados mostram que a metodologia proposta pode descrever protocolos mais eficientes e com um menor custo do que os protocolos padrões usados atualmente. Além disso, permite avaliar o efeito de diferentes protocolos de tratamento sobre a evolução do tumor, podendo obter um tratamento menos agressivo ao paciente e que permita a cura em menor tempo e com uma menor dose total de radiação.Universidade Federal do Rio Grande2010-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.furg.br/vetor/article/view/1659VETOR - Journal of Exact Sciences and Engineering; Vol. 17 No. 1 (2007); 47-62VETOR - Revista de Ciências Exatas e Engenharias; v. 17 n. 1 (2007); 47-622358-34520102-7352reponame:Vetor (Online)instname:Universidade Federal do Rio Grande (FURG)instacron:FURGporhttps://periodicos.furg.br/vetor/article/view/1659/812Copyright (c) 2014 VETOR - Revista de Ciências Exatas e Engenhariasinfo:eu-repo/semantics/openAccessWahl, Suzi DarliFeldmann, GersonFoletto, Tanísia de Carli2023-03-22T15:42:39Zoai:periodicos.furg.br:article/1659Revistahttps://periodicos.furg.br/vetorPUBhttps://periodicos.furg.br/vetor/oaigmplatt@furg.br2358-34520102-7352opendoar:2023-03-22T15:42:39Vetor (Online) - Universidade Federal do Rio Grande (FURG)false |
dc.title.none.fl_str_mv |
A mathematical model for the estimation of treatment cost in cancer radiotherapy Modelo matemático para estimação do custo do tratamento do câncer por radioterapia |
title |
A mathematical model for the estimation of treatment cost in cancer radiotherapy |
spellingShingle |
A mathematical model for the estimation of treatment cost in cancer radiotherapy Wahl, Suzi Darli Crescimento de tumores Radioterapia Custo de tratamento Modelagem matemática |
title_short |
A mathematical model for the estimation of treatment cost in cancer radiotherapy |
title_full |
A mathematical model for the estimation of treatment cost in cancer radiotherapy |
title_fullStr |
A mathematical model for the estimation of treatment cost in cancer radiotherapy |
title_full_unstemmed |
A mathematical model for the estimation of treatment cost in cancer radiotherapy |
title_sort |
A mathematical model for the estimation of treatment cost in cancer radiotherapy |
author |
Wahl, Suzi Darli |
author_facet |
Wahl, Suzi Darli Feldmann, Gerson Foletto, Tanísia de Carli |
author_role |
author |
author2 |
Feldmann, Gerson Foletto, Tanísia de Carli |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Wahl, Suzi Darli Feldmann, Gerson Foletto, Tanísia de Carli |
dc.subject.por.fl_str_mv |
Crescimento de tumores Radioterapia Custo de tratamento Modelagem matemática |
topic |
Crescimento de tumores Radioterapia Custo de tratamento Modelagem matemática |
description |
In this work we present a methodology for the investigation of costs of cancer treatment by radiotherapy, aiming to reduce the undesired effects of radiation and to obtain better results of the treatment. The tumor growth is simulated by using a mathematical model composed of three ordinary diferential equations corresponding to the population of Normal, Tumoral and Imune cells. The effect of radiation over each type of cells is considered using the linear quadratic model applied for the various distinct treatment protocols investigated. Cost of treatment is obtained using a model based on the concept of tumor cure probability, cost per fraction and cost of failure. The concept of biological effective dose is used in order to compare differente treatment protocols. We investigated different protocols currently used for various tumor types. Our results show that with this approach it is possible to obtain more efficient protocols with lower cost that those used. It is also possible to investigate the effect of fractionation protocols on the tumor evolution in order to obtain less aggressive protocols that are effective for patient cure with lower total dose and in smaller treatment time. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-12-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.furg.br/vetor/article/view/1659 |
url |
https://periodicos.furg.br/vetor/article/view/1659 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.furg.br/vetor/article/view/1659/812 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2014 VETOR - Revista de Ciências Exatas e Engenharias info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2014 VETOR - Revista de Ciências Exatas e Engenharias |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal do Rio Grande |
publisher.none.fl_str_mv |
Universidade Federal do Rio Grande |
dc.source.none.fl_str_mv |
VETOR - Journal of Exact Sciences and Engineering; Vol. 17 No. 1 (2007); 47-62 VETOR - Revista de Ciências Exatas e Engenharias; v. 17 n. 1 (2007); 47-62 2358-3452 0102-7352 reponame:Vetor (Online) instname:Universidade Federal do Rio Grande (FURG) instacron:FURG |
instname_str |
Universidade Federal do Rio Grande (FURG) |
instacron_str |
FURG |
institution |
FURG |
reponame_str |
Vetor (Online) |
collection |
Vetor (Online) |
repository.name.fl_str_mv |
Vetor (Online) - Universidade Federal do Rio Grande (FURG) |
repository.mail.fl_str_mv |
gmplatt@furg.br |
_version_ |
1797041761163411456 |