Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 1 de 1
Filtrar
Mais filtros

Base de dados
Ano de publicação
Tipo de documento
Intervalo de ano de publicação
1.
Front Surg ; 9: 944399, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35836610

RESUMO

Background: To prospectively evaluate the diagnostic accuracy of magnetic resonance imaging (MRI) for the planning of surgical treatment of deep pelvic endometriosis. Materials and Methods: From 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. Results: Seventy-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. Conclusion: MR 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.

SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA