Practical Prediction Model for Ovarian Insufficiency after Radiation

Detalhes bibliográficos
Autor(a) principal: Gil,Gabriel Oliveira Bernardes
Data de Publicação: 2022
Outros Autores: Asano,Cassiano, Andrade,Warne Pedro de, Gil,Maria Luísa Braga Vieira, Cândido,Eduardo Batista, Regalin,Marcos, Queiroz,Izabella Nobre, Cantídio,Farley Soares, Delfino,Darly Gomes Soares, Silva-Filho,Agnaldo Lopes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista brasileira de ginecologia e obstetrícia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-72032022000600573
Resumo: Abstract Objective The present study aimed to develop a useful mathematical model that predicts the age at which premature ovarian insufficiency might occur after teletherapy radiation. A diagnosis of premature or early menopause has physical and psychological consequences, so women may need support and long-term medical follow-up. Methods To correlate ovarian radiation dose with ovarian function, we used the formula described by Wallace et al.: √g(z) = 10(2-0,15z), where “g(z)” and “z” represent oocyte survival rate and the radiation dose (in Gray), respectively. By simulating different ages and doses, we observed a pattern that could be used to simplify the relationship between radiation dose and remaining time of ovarian function. Results We obtained a linear function between ovarian radiation dose and loss of ovarian function (LOF) that is the percentage of decrease in the time to the ovarian failure compared with the time expected for a woman at the same age without irradiation exposition. For patients <40 years old and with ovarian radiation doses < 5 Gy, the equation LOF = 2.70 + (11.08 × Dose) can be applied to estimate the decrease in time to premature ovarian insufficiency. Conclusion The present study reports a practicable theoretical method to estimate the loss of ovarian function. These findings can potentially improve the management and counseling of young women patients submitted to radiotherapy during their reproductive years.
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spelling Practical Prediction Model for Ovarian Insufficiency after Radiationradiotherapyovarian insufficiencyovarian functionovarian radiationAbstract Objective The present study aimed to develop a useful mathematical model that predicts the age at which premature ovarian insufficiency might occur after teletherapy radiation. A diagnosis of premature or early menopause has physical and psychological consequences, so women may need support and long-term medical follow-up. Methods To correlate ovarian radiation dose with ovarian function, we used the formula described by Wallace et al.: √g(z) = 10(2-0,15z), where “g(z)” and “z” represent oocyte survival rate and the radiation dose (in Gray), respectively. By simulating different ages and doses, we observed a pattern that could be used to simplify the relationship between radiation dose and remaining time of ovarian function. Results We obtained a linear function between ovarian radiation dose and loss of ovarian function (LOF) that is the percentage of decrease in the time to the ovarian failure compared with the time expected for a woman at the same age without irradiation exposition. For patients <40 years old and with ovarian radiation doses < 5 Gy, the equation LOF = 2.70 + (11.08 × Dose) can be applied to estimate the decrease in time to premature ovarian insufficiency. Conclusion The present study reports a practicable theoretical method to estimate the loss of ovarian function. These findings can potentially improve the management and counseling of young women patients submitted to radiotherapy during their reproductive years.Federação Brasileira das Sociedades de Ginecologia e Obstetrícia2022-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-72032022000600573Revista Brasileira de Ginecologia e Obstetrícia v.44 n.6 2022reponame:Revista brasileira de ginecologia e obstetrícia (Online)instname:Federação Brasileira das Sociedades de Ginecologia e Obstetrícia (FEBRASGO)instacron:FEBRASGO10.1055/s-0042-1746199info:eu-repo/semantics/openAccessGil,Gabriel Oliveira BernardesAsano,CassianoAndrade,Warne Pedro deGil,Maria Luísa Braga VieiraCândido,Eduardo BatistaRegalin,MarcosQueiroz,Izabella NobreCantídio,Farley SoaresDelfino,Darly Gomes SoaresSilva-Filho,Agnaldo Lopeseng2022-08-12T00:00:00Zoai:scielo:S0100-72032022000600573Revistahttp://www.scielo.br/rbgohttps://old.scielo.br/oai/scielo-oai.phppublicações@febrasgo.org.br||rbgo@fmrp.usp.br1806-93390100-7203opendoar:2022-08-12T00:00Revista brasileira de ginecologia e obstetrícia (Online) - Federação Brasileira das Sociedades de Ginecologia e Obstetrícia (FEBRASGO)false
dc.title.none.fl_str_mv Practical Prediction Model for Ovarian Insufficiency after Radiation
title Practical Prediction Model for Ovarian Insufficiency after Radiation
spellingShingle Practical Prediction Model for Ovarian Insufficiency after Radiation
Gil,Gabriel Oliveira Bernardes
radiotherapy
ovarian insufficiency
ovarian function
ovarian radiation
title_short Practical Prediction Model for Ovarian Insufficiency after Radiation
title_full Practical Prediction Model for Ovarian Insufficiency after Radiation
title_fullStr Practical Prediction Model for Ovarian Insufficiency after Radiation
title_full_unstemmed Practical Prediction Model for Ovarian Insufficiency after Radiation
title_sort Practical Prediction Model for Ovarian Insufficiency after Radiation
author Gil,Gabriel Oliveira Bernardes
author_facet Gil,Gabriel Oliveira Bernardes
Asano,Cassiano
Andrade,Warne Pedro de
Gil,Maria Luísa Braga Vieira
Cândido,Eduardo Batista
Regalin,Marcos
Queiroz,Izabella Nobre
Cantídio,Farley Soares
Delfino,Darly Gomes Soares
Silva-Filho,Agnaldo Lopes
author_role author
author2 Asano,Cassiano
Andrade,Warne Pedro de
Gil,Maria Luísa Braga Vieira
Cândido,Eduardo Batista
Regalin,Marcos
Queiroz,Izabella Nobre
Cantídio,Farley Soares
Delfino,Darly Gomes Soares
Silva-Filho,Agnaldo Lopes
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Gil,Gabriel Oliveira Bernardes
Asano,Cassiano
Andrade,Warne Pedro de
Gil,Maria Luísa Braga Vieira
Cândido,Eduardo Batista
Regalin,Marcos
Queiroz,Izabella Nobre
Cantídio,Farley Soares
Delfino,Darly Gomes Soares
Silva-Filho,Agnaldo Lopes
dc.subject.por.fl_str_mv radiotherapy
ovarian insufficiency
ovarian function
ovarian radiation
topic radiotherapy
ovarian insufficiency
ovarian function
ovarian radiation
description Abstract Objective The present study aimed to develop a useful mathematical model that predicts the age at which premature ovarian insufficiency might occur after teletherapy radiation. A diagnosis of premature or early menopause has physical and psychological consequences, so women may need support and long-term medical follow-up. Methods To correlate ovarian radiation dose with ovarian function, we used the formula described by Wallace et al.: √g(z) = 10(2-0,15z), where “g(z)” and “z” represent oocyte survival rate and the radiation dose (in Gray), respectively. By simulating different ages and doses, we observed a pattern that could be used to simplify the relationship between radiation dose and remaining time of ovarian function. Results We obtained a linear function between ovarian radiation dose and loss of ovarian function (LOF) that is the percentage of decrease in the time to the ovarian failure compared with the time expected for a woman at the same age without irradiation exposition. For patients <40 years old and with ovarian radiation doses < 5 Gy, the equation LOF = 2.70 + (11.08 × Dose) can be applied to estimate the decrease in time to premature ovarian insufficiency. Conclusion The present study reports a practicable theoretical method to estimate the loss of ovarian function. These findings can potentially improve the management and counseling of young women patients submitted to radiotherapy during their reproductive years.
publishDate 2022
dc.date.none.fl_str_mv 2022-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-72032022000600573
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-72032022000600573
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1055/s-0042-1746199
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Federação Brasileira das Sociedades de Ginecologia e Obstetrícia
publisher.none.fl_str_mv Federação Brasileira das Sociedades de Ginecologia e Obstetrícia
dc.source.none.fl_str_mv Revista Brasileira de Ginecologia e Obstetrícia v.44 n.6 2022
reponame:Revista brasileira de ginecologia e obstetrícia (Online)
instname:Federação Brasileira das Sociedades de Ginecologia e Obstetrícia (FEBRASGO)
instacron:FEBRASGO
instname_str Federação Brasileira das Sociedades de Ginecologia e Obstetrícia (FEBRASGO)
instacron_str FEBRASGO
institution FEBRASGO
reponame_str Revista brasileira de ginecologia e obstetrícia (Online)
collection Revista brasileira de ginecologia e obstetrícia (Online)
repository.name.fl_str_mv Revista brasileira de ginecologia e obstetrícia (Online) - Federação Brasileira das Sociedades de Ginecologia e Obstetrícia (FEBRASGO)
repository.mail.fl_str_mv publicações@febrasgo.org.br||rbgo@fmrp.usp.br
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