Literature DB >> 25604906

Detection and localization of deep endometriosis by means of MRI and correlation with the ENZIAN score.

V Di Paola1, R Manfredi2, F Castelli2, R Negrelli2, S Mehrabi2, R Pozzi Mucelli2.   

Abstract

PURPOSE: To determine the accuracy of ENZIAN score, as detected on MR imaging, compared to surgical-pathologic findings.
MATERIALS AND METHODS: This retrospective study was approved by the investigational review board and the requirement for informed patient consent was waived. 115 patients were included according to following criteria: tubo-ovarian and/or deep endometriosis suspected at physical examination and transvaginal ultrasound; availability of MR examination; histopathological results from laparoscopic or surgical treatment. EXCLUSION CRITERIA: lack of available MR examination, and/or (b) lack of a definitive histopathological results. Histopathological findings from bioptic specimens obtained during laparoscopic or laparotomic treatment were considered as reference standard. For all detected lesions a score according to ENZIAN score (revised 2010) was assigned both for MRI and histopathological findings. By comparing MRI-ENZIAN score and histopathological-ENZIAN score the overall sensitivity, specificity, accuracy, positive and negative predictive values in relation to presence/absence of deep endometriosis in each patient were calculated. k-Cohen to evaluate the degree of concordance between MRI-ENZIAN score and histopathological-ENZIAN score was also measured. Moreover the sensitivity, specificity, accuracy, positive and negative predictive values for each specific localization provided by ENZIAN score were also calculated.
RESULTS: At histopathology, the diagnosis of deep endometriosis was confirmed in 82/115 (71.3%) patients. The sensitivity, specificity, accuracy, PPV and NPV of MRI were 94%, 97%, 95%, 99%, 86%, respectively. The highest accuracy was for adenomyosis (100%) and endometriosis of utero-sacral ligaments (USLs) (98%), slightly lower for vagina-rectovaginal septum an colo-rectal walls (96%), and the lowest for bladder endometriosis (92%). The concordance between histopathological and MRI ENZIAN score was excellent (k=0.824); in particular it was 0.812 for lesions in vagina-rectovaginal space, 0.890 for lesions in USL, 0.822 for lesions in rectum-sigmoid colon, 1.000 for uterine adenomyosis, and 0.367 for lesions located in the bladder wall.
CONCLUSION: MRI correlates with the ENZIAN score and has an accuracy of 95% in the detection and localization of deep endometriosis, allowing to minimize false negative results (4%) in patients with deep endometriosis and to obtain a correct preoperative staging.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Accuracy; Adenomyosis; Endometriosis; Female; Magnetic resonance imaging; Pelvic pain

Mesh:

Year:  2015        PMID: 25604906     DOI: 10.1016/j.ejrad.2014.12.017

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  10 in total

Review 1.  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

2.  Structured manual for MRI assessment of deep infiltrating endometriosis using the ENZIAN classification.

Authors:  Andreas Boss; Patrick Imesch; Laurin Burla; David Scheiner; Andreas M Hötker; Andreas Meier; Daniel Fink
Journal:  Arch Gynecol Obstet       Date:  2020-11-22       Impact factor: 2.344

3.  MRI reporting standard for chronic pelvic pain: consensus development.

Authors:  Nishat Bharwani; Seema A Tirlapur; Moji Balogun; Lee Priest; Khalid S Khan; Javier Zamora; Anju Sahdev
Journal:  Br J Radiol       Date:  2016       Impact factor: 3.039

4.  What to choose and why to use - a critical review on the clinical relevance of rASRM, EFI and Enzian classifications of endometriosis.

Authors:  G Hudelist; L Valentin; E Saridogan; G Condous; M Malzoni; H Roman; D Jurkovic; J Keckstein
Journal:  Facts Views Vis Obgyn       Date:  2021-12

5.  Nomogram predicting the likelihood of complications after surgery for deep endometriosis without bowel involvement.

Authors:  Clothilde Poupon; Clémentine Owen; Alexandra Arfi; Jonathan Cohen; Sofiane Bendifallah; Emile Daraï
Journal:  Eur J Obstet Gynecol Reprod Biol X       Date:  2019-05-02

6.  Endometriosis classification, staging and reporting systems: a review on the road to a universally accepted endometriosis classification.

Authors:  Nathalie Vermeulen; Mauricio S Abrao; Jon I Einarsson; Andrew W Horne; Neil P Johnson; Ted T M Lee; Stacey Missmer; John Petrozza; Carla Tomassetti; Krina T Zondervan; Grigoris Grimbizis; Rudy Leon De Wilde
Journal:  Hum Reprod Open       Date:  2021-10-22

Review 7.  MRI in the Diagnosis of Endometriosis and Related Diseases.

Authors:  Aki Kido; Yuki Himoto; Yusaku Moribata; Yasuhisa Kurata; Yuji Nakamoto
Journal:  Korean J Radiol       Date:  2022-03-08       Impact factor: 3.500

8.  Endometriosis classification, staging and reporting systems: a review on the road to a universally accepted endometriosis classification.

Authors:  N Vermeulen; M S Abrao; J I Einarsson; A W Horne; N P Johnson; T T M Lee; S Missmer; J Petrozza; C Tomassetti; K T Zondervan; G Grimbizis; R L De Wilde
Journal:  Facts Views Vis Obgyn       Date:  2021-12

9.  European society of urogenital radiology (ESUR) guidelines: MR imaging of pelvic endometriosis.

Authors:  M Bazot; N Bharwani; C Huchon; K Kinkel; T M Cunha; A Guerra; L Manganaro; L Buñesch; A Kido; K Togashi; I Thomassin-Naggara; A G Rockall
Journal:  Eur Radiol       Date:  2016-12-05       Impact factor: 5.315

Review 10.  Endometriosis: clinical features, MR imaging findings and pathologic correlation.

Authors:  Pietro Valerio Foti; Renato Farina; Stefano Palmucci; Ilenia Anna Agata Vizzini; Norma Libertini; Maria Coronella; Saveria Spadola; Rosario Caltabiano; Marco Iraci; Antonio Basile; Pietro Milone; Antonio Cianci; Giovanni Carlo Ettorre
Journal:  Insights Imaging       Date:  2018-02-15
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.