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The Role of Magnetic Resonance Imaging in the Planning of Surgical Treatment of Deep Pelvic Endometriosis

Authors :
Francesco Manti
Caterina Battaglia
Iennarella Bruno
Michele Ammendola
Giuseppe Navarra
Giuseppe Currò
Domenico Laganà
Source :
Frontiers in Surgery, Vol 9 (2022)
Publication Year :
2022
Publisher :
Frontiers Media S.A., 2022.

Abstract

BackgroundTo prospectively evaluate the diagnostic accuracy of magnetic resonance imaging (MRI) for the planning of surgical treatment of deep pelvic endometriosis.Materials and MethodsFrom January 2020 to December 2021, we evaluated 72 patients with symptoms characteristic of endometriosis to plan appropriate surgical treatment. Sensitivity (Se), specificity (Sp), positive and negative predictive values (VPP/VPN), and the accuracy of MRI for the detection of deep pelvic endometriosis were calculated.ResultsSeventy-two patients (mean age, 35.5 years; range, 20–46 years) suspected of having pelvic endometriosis were recruited. Pelvic endometriosis was confirmed at pathologic examination in 56 (77.7%) of 72 patients. A total of 22 (39.3%) of 56 patients were subjected to video laparoscopy (VLS), and 16 (72.2%) of 22 were treated by surgery. Se, Sp, VPP, and VPN in intestinal endometriosis diagnosis were, respectively, 100%, 93.3%, 100%, and 87.5%, and diagnostic accuracy was 95.4%. MRI Se in ureteral endometriosis diagnosis was 50%, Sp 100%, VPP 100%, VPN 78%, and diagnostic accuracy 82%. MRI Se in endometrioma diagnosis was 92.3%, Sp 100%, VPP 100%, VPN 90%, and diagnostic accuracy 95.4%. MRI Se in rectum-vaginal septum (SRV) endometriosis diagnosis was 80%, Sp 100%, VPP 100% VPN 85.7%, and diagnostic accuracy 91%. The MRI Se in the diagnosis of endometriosis involving ULS was 100%, Sp 92.8%, VPP 89%, VPN 100%, and diagnostic accuracy 95.4%. Complete concordance results in a 100% accuracy for all calculated values in diagnosing bladder endometriosis localizations.ConclusionMR imaging demonstrates high accuracy in detecting deep pelvic endometriosis in specific locations. It allows the localization of deep pelvic lesions with highly fibrotic components that are hardly recognizable with other imaging methods and not visible with VLS.

Details

Language :
English
ISSN :
2296875X
Volume :
9
Database :
Directory of Open Access Journals
Journal :
Frontiers in Surgery
Publication Type :
Academic Journal
Accession number :
edsdoj.540df032a97455394699c52f140a37c
Document Type :
article
Full Text :
https://doi.org/10.3389/fsurg.2022.944399