Practical Prediction Model for Ovarian Insufficiency after Radiation
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , |
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:29462024-08-05T14:06:29.742844Repositório 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_ |
1808128316299804672 |