Accurate diagnosis of endometriosis using serum microRNAs.

Moustafa, Sarah; Burn, Martina; Mamillapalli, Ramanaiah; Nematian, Sepide; Flores, Valerie; Taylor, Hugh S

Moustafa, Sarah; Burn, Martina; Mamillapalli, Ramanaiah; Nematian, Sepide; Flores, Valerie; Taylor, Hugh S.

Afiliação

Moustafa S; Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, CT.
Burn M; Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, CT.
Mamillapalli R; Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, CT. Electronic address: ramana.mamillapalli@yale.edu.
Nematian S; Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, CT.
Flores V; Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, CT.
Taylor HS; Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, CT.

Am J Obstet Gynecol ; 223(4): 557.e1-557.e11, 2020 10.

Article em En | MEDLINE | ID: mdl-32165186

Assuntos

Endometriose/diagnóstico; MicroRNAs/sangue; Adulto; Algoritmos; Área Sob a Curva; Endometriose/sangue; Estudos de Viabilidade; Feminino; Humanos; Laparoscopia; Aprendizado de Máquina; Pessoa de Meia-Idade; Estudos Prospectivos; Curva ROC; Índice de Gravidade de Doença

Palavras-chave

biomarker; endometriosis; miR; microRNA; noninvasive diagnosis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: MicroRNAs / Endometriose Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Middle aged Idioma: En Revista: Am J Obstet Gynecol Ano de publicação: 2020 Tipo de documento: Article País de publicação: Estados Unidos

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