A novel model to estimate lymph node metastasis in endometrial cancer patients

Detalhes bibliográficos
Autor(a) principal: Anton, Cristina
Data de Publicação: 2017
Outros Autores: e Silva, Alexandre Silva, Baracat, Edmund Chada, Dogan, Nasuh Utku, Köhler, Christhardt, Carvalho, Jesus Paula, di Favero, Giovanni Mastrantonio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Clinics
Texto Completo: https://www.revistas.usp.br/clinics/article/view/127273
Resumo: OBJECTIVES: To evaluate the postoperative pathological characteristics of hysterectomy specimens, preoperative cancer antigen (CA)-125 levels and imaging modalities in patients with endometrial cancer and to build a risk matrix model to identify and recruit patients for retroperitoneal lymphadenectomy. METHODS: A total of 405 patients undergoing surgical treatment for endometrial cancer were retrospectively reviewed and analyzed. Clinical (age and body mass index), laboratory (CA-125), radiological (lymph node evaluation), and pathological (tumour size, grade, lymphovascular space invasion, lymph node metastasis, and myometrial invasion) parameters were used to test the ability to predict lymph node metastasis. Four parameters were selected by logistic regression to create a risk matrix for nodal metastasis. RESULTS: Of the 405 patients, 236 (58.3%) underwent complete pelvic and para-aortic lymphadenectomy, 96 (23.7%) underwent nodal sampling, and 73 (18%) had no surgical lymph node assessment. The parameters predicting nodal involvement obtained through logistic regression were myometrial infiltration >;50%, lymphovascular space involvement, pelvic lymph node involvement by imaging, and a CA-125 value >;21.5 U/mL. According to our risk matrix, the absence of these four parameters implied a risk of lymph node metastasis of 2.7%, whereas in the presence of all four parameters the risk was 82.3%. CONCLUSION: Patients without deep myometrial invasion and lymphovascular space involvement on the final pathological examination and with normal CA-125 values and lymph node radiological examinations have a relatively low risk of lymph node involvement. This risk assessment matrix may be able to refer patients with high-risk parameters necessitating lymphadenectomy and to decide the risks and benefits of lymphadenectomy.
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spelling A novel model to estimate lymph node metastasis in endometrial cancer patients OBJECTIVES: To evaluate the postoperative pathological characteristics of hysterectomy specimens, preoperative cancer antigen (CA)-125 levels and imaging modalities in patients with endometrial cancer and to build a risk matrix model to identify and recruit patients for retroperitoneal lymphadenectomy. METHODS: A total of 405 patients undergoing surgical treatment for endometrial cancer were retrospectively reviewed and analyzed. Clinical (age and body mass index), laboratory (CA-125), radiological (lymph node evaluation), and pathological (tumour size, grade, lymphovascular space invasion, lymph node metastasis, and myometrial invasion) parameters were used to test the ability to predict lymph node metastasis. Four parameters were selected by logistic regression to create a risk matrix for nodal metastasis. RESULTS: Of the 405 patients, 236 (58.3%) underwent complete pelvic and para-aortic lymphadenectomy, 96 (23.7%) underwent nodal sampling, and 73 (18%) had no surgical lymph node assessment. The parameters predicting nodal involvement obtained through logistic regression were myometrial infiltration >;50%, lymphovascular space involvement, pelvic lymph node involvement by imaging, and a CA-125 value >;21.5 U/mL. According to our risk matrix, the absence of these four parameters implied a risk of lymph node metastasis of 2.7%, whereas in the presence of all four parameters the risk was 82.3%. CONCLUSION: Patients without deep myometrial invasion and lymphovascular space involvement on the final pathological examination and with normal CA-125 values and lymph node radiological examinations have a relatively low risk of lymph node involvement. This risk assessment matrix may be able to refer patients with high-risk parameters necessitating lymphadenectomy and to decide the risks and benefits of lymphadenectomy. Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo2017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/clinics/article/view/12727310.6061/clinics/2017(01)06Clinics; Vol. 72 No. 1 (2017); 30-35Clinics; v. 72 n. 1 (2017); 30-35Clinics; Vol. 72 Núm. 1 (2017); 30-351980-53221807-5932reponame:Clinicsinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/clinics/article/view/127273/124471Copyright (c) 2017 Clinicsinfo:eu-repo/semantics/openAccessAnton, Cristinae Silva, Alexandre SilvaBaracat, Edmund ChadaDogan, Nasuh UtkuKöhler, ChristhardtCarvalho, Jesus Pauladi Favero, Giovanni Mastrantonio2017-03-15T15:55:12Zoai:revistas.usp.br:article/127273Revistahttps://www.revistas.usp.br/clinicsPUBhttps://www.revistas.usp.br/clinics/oai||clinics@hc.fm.usp.br1980-53221807-5932opendoar:2017-03-15T15:55:12Clinics - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv A novel model to estimate lymph node metastasis in endometrial cancer patients
title A novel model to estimate lymph node metastasis in endometrial cancer patients
spellingShingle A novel model to estimate lymph node metastasis in endometrial cancer patients
Anton, Cristina
title_short A novel model to estimate lymph node metastasis in endometrial cancer patients
title_full A novel model to estimate lymph node metastasis in endometrial cancer patients
title_fullStr A novel model to estimate lymph node metastasis in endometrial cancer patients
title_full_unstemmed A novel model to estimate lymph node metastasis in endometrial cancer patients
title_sort A novel model to estimate lymph node metastasis in endometrial cancer patients
author Anton, Cristina
author_facet Anton, Cristina
e Silva, Alexandre Silva
Baracat, Edmund Chada
Dogan, Nasuh Utku
Köhler, Christhardt
Carvalho, Jesus Paula
di Favero, Giovanni Mastrantonio
author_role author
author2 e Silva, Alexandre Silva
Baracat, Edmund Chada
Dogan, Nasuh Utku
Köhler, Christhardt
Carvalho, Jesus Paula
di Favero, Giovanni Mastrantonio
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Anton, Cristina
e Silva, Alexandre Silva
Baracat, Edmund Chada
Dogan, Nasuh Utku
Köhler, Christhardt
Carvalho, Jesus Paula
di Favero, Giovanni Mastrantonio
description OBJECTIVES: To evaluate the postoperative pathological characteristics of hysterectomy specimens, preoperative cancer antigen (CA)-125 levels and imaging modalities in patients with endometrial cancer and to build a risk matrix model to identify and recruit patients for retroperitoneal lymphadenectomy. METHODS: A total of 405 patients undergoing surgical treatment for endometrial cancer were retrospectively reviewed and analyzed. Clinical (age and body mass index), laboratory (CA-125), radiological (lymph node evaluation), and pathological (tumour size, grade, lymphovascular space invasion, lymph node metastasis, and myometrial invasion) parameters were used to test the ability to predict lymph node metastasis. Four parameters were selected by logistic regression to create a risk matrix for nodal metastasis. RESULTS: Of the 405 patients, 236 (58.3%) underwent complete pelvic and para-aortic lymphadenectomy, 96 (23.7%) underwent nodal sampling, and 73 (18%) had no surgical lymph node assessment. The parameters predicting nodal involvement obtained through logistic regression were myometrial infiltration >;50%, lymphovascular space involvement, pelvic lymph node involvement by imaging, and a CA-125 value >;21.5 U/mL. According to our risk matrix, the absence of these four parameters implied a risk of lymph node metastasis of 2.7%, whereas in the presence of all four parameters the risk was 82.3%. CONCLUSION: Patients without deep myometrial invasion and lymphovascular space involvement on the final pathological examination and with normal CA-125 values and lymph node radiological examinations have a relatively low risk of lymph node involvement. This risk assessment matrix may be able to refer patients with high-risk parameters necessitating lymphadenectomy and to decide the risks and benefits of lymphadenectomy.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01
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://www.revistas.usp.br/clinics/article/view/127273
10.6061/clinics/2017(01)06
url https://www.revistas.usp.br/clinics/article/view/127273
identifier_str_mv 10.6061/clinics/2017(01)06
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/clinics/article/view/127273/124471
dc.rights.driver.fl_str_mv Copyright (c) 2017 Clinics
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Clinics
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo
publisher.none.fl_str_mv Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo
dc.source.none.fl_str_mv Clinics; Vol. 72 No. 1 (2017); 30-35
Clinics; v. 72 n. 1 (2017); 30-35
Clinics; Vol. 72 Núm. 1 (2017); 30-35
1980-5322
1807-5932
reponame:Clinics
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Clinics
collection Clinics
repository.name.fl_str_mv Clinics - Universidade de São Paulo (USP)
repository.mail.fl_str_mv ||clinics@hc.fm.usp.br
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