Literature DB >> 16009147

Diagnosis of pelvic endometriosis with use of macroscopic versus histologic findings.

Gian Luigi Marchino1, Gianluca Gennarelli, Raffaella Enria, Francesca Bongioanni, Giovanni Lipari, Marco Massobrio.   

Abstract

OBJECTIVE: To obtain histologic confirmation of lesions suspected of endometriosis at laparoscopy.
DESIGN: Prospective clinical study.
SETTING: Patients in an academic hospital. PATIENT(S): Women of reproductive age who complained of chronic pelvic pain. INTERVENTION(S): A total of 122 biopsies were obtained from 54 patients undergoing laparoscopy, after exclusion of other potential causes of pelvic pain. MAIN OUTCOME MEASURE(S): Lack of consistency between laparoscopic and histologic diagnosis of endometriosis, in particular for minimal/mild stages.
RESULTS: Endometriosis was confirmed by histology in 54% of the excised lesions. Diagnosis was more often confirmed among classic lesions than for all atypical lesions considered together. The histologic diagnosis of fibrosis was the most common among those biopsies, which lacked the presence of endometriosis. The revised American Fertility Association (AFS) scores before and after histologic confirmation differed significantly. In particular, 20 patients in either revised AFS class I or II were down-graded to stage 0. No single anatomical site turned out to be particularly prone to misdiagnosis at laparoscopy, in comparison to the other sites. CONCLUSION(S): These results confirm the need of histologic confirmation to obtain a diagnosis of endometriosis. However, the clinical impact of such findings remains a matter of debate.

Entities:  

Mesh:

Year:  2005        PMID: 16009147     DOI: 10.1016/j.fertnstert.2004.09.042

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


  14 in total

1.  Robotic single-site endometriosis resection using near-infrared fluorescence imaging with indocyanine green: a prospective case series and review of literature.

Authors:  Jayapriya Jayakumaran; Zoran Pavlovic; Daniele Fuhrich; Karen Wiercinski; Cynthia Buffington; Aileen Caceres
Journal:  J Robot Surg       Date:  2019-04-01

Review 2.  Imaging modalities for the non-invasive diagnosis of endometriosis.

Authors:  Vicki Nisenblat; Patrick M M Bossuyt; Cindy Farquhar; Neil Johnson; M Louise Hull
Journal:  Cochrane Database Syst Rev       Date:  2016-02-26

3.  Visualization of endometriosis: comparative study of 3-dimensional robotic and 2-dimensional laparoscopic endoscopes.

Authors:  Cindy Mosbrucker; Anita Somani; John Dulemba
Journal:  J Robot Surg       Date:  2017-03-02

Review 4.  Blood biomarkers for the non-invasive diagnosis of endometriosis.

Authors:  Vicki Nisenblat; Patrick M M Bossuyt; Rabia Shaikh; Cindy Farquhar; Vanessa Jordan; Carola S Scheffers; Ben Willem J Mol; Neil Johnson; M Louise Hull
Journal:  Cochrane Database Syst Rev       Date:  2016-05-01

5.  MicroRNA expression profiling of eutopic secretory endometrium in women with versus without endometriosis.

Authors:  R O Burney; A E Hamilton; L Aghajanova; K C Vo; C N Nezhat; B A Lessey; L C Giudice
Journal:  Mol Hum Reprod       Date:  2009-08-19       Impact factor: 4.025

6.  Pelvic endometriosis is rarely associated with ovarian borderline tumours, cytologic and architectural atypia: a clinicopathologic study.

Authors:  Mohamed Ali Bedaiwy; Mahmoud Rezk Abd-Elwahed Hussein; Charles Biscotti; Tommaso Falcone
Journal:  Pathol Oncol Res       Date:  2008-06-25       Impact factor: 3.201

Review 7.  Endometrial biomarkers for the non-invasive diagnosis of endometriosis.

Authors:  Devashana Gupta; M Louise Hull; Ian Fraser; Laura Miller; Patrick M M Bossuyt; Neil Johnson; Vicki Nisenblat
Journal:  Cochrane Database Syst Rev       Date:  2016-04-20

8.  A logistic model for the prediction of endometriosis.

Authors:  Barbara J Stegmann; Michele Jonsson Funk; Ninet Sinaii; Katherine E Hartmann; James Segars; Lynnette K Nieman; Pamela Stratton
Journal:  Fertil Steril       Date:  2008-05-07       Impact factor: 7.329

Review 9.  Urinary biomarkers for the non-invasive diagnosis of endometriosis.

Authors:  Emily Liu; Vicki Nisenblat; Cindy Farquhar; Ian Fraser; Patrick M M Bossuyt; Neil Johnson; M Louise Hull
Journal:  Cochrane Database Syst Rev       Date:  2015-12-23

Review 10.  Combination of the non-invasive tests for the diagnosis of endometriosis.

Authors:  Vicki Nisenblat; Lucy Prentice; Patrick M M Bossuyt; Cindy Farquhar; M Louise Hull; Neil Johnson
Journal:  Cochrane Database Syst Rev       Date:  2016-07-13
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