Optimal imaging modality for detection of rectosigmoid deep endometriosis: systematic review and meta-analysis.

Gerges, B; Li, W; Leonardi, M; Mol, B W; Condous, G

Gerges, B; Li, W; Leonardi, M; Mol, B W; Condous, G.

Afiliação

Gerges B; Sydney Medical School Nepean, University of Sydney Nepean Hospital, Kingswood, NSW, Australia.
Li W; Sydney West Advanced Pelvic Surgery (SWAPS), Blacktown Hospital, Blacktown, NSW, Australia.
Leonardi M; Department of Obstetrics and Gynaecology, Monash University, Clayton, VIC, Australia.
Mol BW; Sydney Medical School Nepean, University of Sydney Nepean Hospital, Kingswood, NSW, Australia.
Condous G; Department of Obstetrics and Gynecology, McMaster University, Hamilton, Canada.

Ultrasound Obstet Gynecol ; 58(2): 190-200, 2021 08.

Article em En | MEDLINE | ID: mdl-33038269

Assuntos

Endometriose/diagnóstico por imagem; Doenças do Colo Sigmoide/diagnóstico por imagem; Feminino; Humanos; Ultrassonografia

Palavras-chave

bowel; computed tomography; diagnosis; endometriosis; imaging; laparoscopy; magnetic resonance imaging; preoperative; rectal; rectal endoscopic sonography; rectosigmoid; transvaginal sonography

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças do Colo Sigmoide / Endometriose Tipo de estudo: Diagnostic_studies / Systematic_reviews Limite: Female / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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