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.

Affiliation

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 in En | MEDLINE | ID: mdl-33038269

Subject(s)

Endometriosis/diagnostic imaging; Sigmoid Diseases/diagnostic imaging; Female; Humans; Ultrasonography

Key words

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

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sigmoid Diseases / Endometriosis Type of study: Diagnostic_studies / Systematic_reviews Limits: Female / Humans Language: En Journal: Ultrasound Obstet Gynecol Journal subject: DIAGNOSTICO POR IMAGEM / GINECOLOGIA / OBSTETRICIA Year: 2021 Document type: Article Affiliation country: Australia Country of publication: United kingdom

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