Practical Prediction Model for Ovarian Insufficiency after Radiation

Detalhes bibliográficos
Autor(a) principal: Gil, Gabriel Oliveira Bernardes [UNESP]
Data de Publicação: 2022
Outros Autores: Asano, Cassiano, Andrade, Warne Pedro de [UNESP], Gil, Maria Luísa Braga Vieira, Cândido, Eduardo Batista, Regalin, Marcos, Queiroz, Izabella Nobre, Cantídio, Farley Soares, Delfino, Darly Gomes Soares, Silva-Filho, Agnaldo Lopes [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1055/s-0042-1746199
http://hdl.handle.net/11449/240175
Resumo: 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 x 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.
id UNSP_68e2fe1227db3fb525d2ab191b3c1c85
oai_identifier_str oai:repositorio.unesp.br:11449/240175
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Practical Prediction Model for Ovarian Insufficiency after Radiationovarian functionovarian insufficiencyovarian radiationradiotherapyObjective 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 x 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.Radiotherapy Department Hospital Mater Dei, MGGynecology Department Universidade Estadual Paulista Júlio de Mesquita Filho, SPOncology Department Grupo Oncoclínicas, MGGynecology Department Universidade Federal de Minas Gerais, MGRadiotherapy Department Hospital da Baleia, MGFaculty of Medicine Faculdade de Minas, MGGynecology Department Universidade Estadual Paulista Júlio de Mesquita Filho, SPHospital Mater DeiUniversidade Estadual Paulista (UNESP)Grupo OncoclínicasUniversidade Federal de Minas Gerais (UFMG)Hospital da BaleiaFaculdade de MinasGil, Gabriel Oliveira Bernardes [UNESP]Asano, CassianoAndrade, Warne Pedro de [UNESP]Gil, Maria Luísa Braga VieiraCândido, Eduardo BatistaRegalin, MarcosQueiroz, Izabella NobreCantídio, Farley SoaresDelfino, Darly Gomes SoaresSilva-Filho, Agnaldo Lopes [UNESP]2023-03-01T20:04:48Z2023-03-01T20:04:48Z2022-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article573-577http://dx.doi.org/10.1055/s-0042-1746199Revista Brasileira de Ginecologia e Obstetricia, v. 44, n. 6, p. 573-577, 2022.0100-7203http://hdl.handle.net/11449/24017510.1055/s-0042-17461992-s2.0-85131211720Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRevista Brasileira de Ginecologia e Obstetriciainfo:eu-repo/semantics/openAccess2023-03-01T20:04:49Zoai:repositorio.unesp.br:11449/240175Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-03-01T20:04:49Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)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 [UNESP]
ovarian function
ovarian insufficiency
ovarian radiation
radiotherapy
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 [UNESP]
author_facet Gil, Gabriel Oliveira Bernardes [UNESP]
Asano, Cassiano
Andrade, Warne Pedro de [UNESP]
Gil, Maria Luísa Braga Vieira
Cândido, Eduardo Batista
Regalin, Marcos
Queiroz, Izabella Nobre
Cantídio, Farley Soares
Delfino, Darly Gomes Soares
Silva-Filho, Agnaldo Lopes [UNESP]
author_role author
author2 Asano, Cassiano
Andrade, Warne Pedro de [UNESP]
Gil, Maria Luísa Braga Vieira
Cândido, Eduardo Batista
Regalin, Marcos
Queiroz, Izabella Nobre
Cantídio, Farley Soares
Delfino, Darly Gomes Soares
Silva-Filho, Agnaldo Lopes [UNESP]
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Hospital Mater Dei
Universidade Estadual Paulista (UNESP)
Grupo Oncoclínicas
Universidade Federal de Minas Gerais (UFMG)
Hospital da Baleia
Faculdade de Minas
dc.contributor.author.fl_str_mv Gil, Gabriel Oliveira Bernardes [UNESP]
Asano, Cassiano
Andrade, Warne Pedro de [UNESP]
Gil, Maria Luísa Braga Vieira
Cândido, Eduardo Batista
Regalin, Marcos
Queiroz, Izabella Nobre
Cantídio, Farley Soares
Delfino, Darly Gomes Soares
Silva-Filho, Agnaldo Lopes [UNESP]
dc.subject.por.fl_str_mv ovarian function
ovarian insufficiency
ovarian radiation
radiotherapy
topic ovarian function
ovarian insufficiency
ovarian radiation
radiotherapy
description 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 x 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
2023-03-01T20:04:48Z
2023-03-01T20:04:48Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1055/s-0042-1746199
Revista Brasileira de Ginecologia e Obstetricia, v. 44, n. 6, p. 573-577, 2022.
0100-7203
http://hdl.handle.net/11449/240175
10.1055/s-0042-1746199
2-s2.0-85131211720
url http://dx.doi.org/10.1055/s-0042-1746199
http://hdl.handle.net/11449/240175
identifier_str_mv Revista Brasileira de Ginecologia e Obstetricia, v. 44, n. 6, p. 573-577, 2022.
0100-7203
10.1055/s-0042-1746199
2-s2.0-85131211720
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Revista Brasileira de Ginecologia e Obstetricia
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 573-577
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1799964447078350848