To perform a head-to-head comparison of the diagnostic performance of ultrasonography (US) vs magnetic resonance imaging (MRI) for the preoperative detection of endometriosis using the #Enzian classification system.
Bacterial vaginosis (BV) is a common dysbiotic condition associated with adverse pregnancy outcomes, including preterm delivery, and its diagnosis remains challenging due to limitations of conventional methods and the lack …
Numerous studies have shown that the diagnostic performance and reproducibility of visual recognition of endometriosis during laparoscopy are poor. The use of artificial intelligence (AI) seems relevant for exhaustive lesion …
Sonovaginography (SVG) is a specialized ultrasound technique for evaluating certain locations of deep endometriosis (DE) in the posterior compartments. In this study, we assessed the diagnostic accuracy of saline/gel SVG …
Background: Endometriosis is a chronic estrogen-dependent inflammatory disease estimated to affect up to 190 million women of reproductive age worldwide based on clinical and population-based estimates, although only 22.3 million …
Endometriosis (EMT) is characterized by a chronic inflammatory disorder in the female reproductive system, posing significant challenges to global women's health. Necrosis by Sodium Overload (NESCO) is a novel immunogenic …
To systematically evaluate the methodological quality and diagnostic performance of artificial intelligence (AI) applications, specifically machine learning (ML) and deep learning (DL), in the diagnosis of endometriosis through imaging and …
Endometriosis (EMS) is a common gynecological disease that seriously affects women's health and quality of life. However, the detailed dynamic cellular and molecular mechanisms underlying EMS pathogenesis remain largely unknown. …
Background/Objectives: The diagnosis of endometriosis (EM) remains challenging due to the lack of a perfect diagnostic standard and the poor concordance between clinical symptoms and lesion severity. Although laparoscopy is …
To determine the diagnostic performance of each additional step of the four-step International Deep Endometriosis Analysis (IDEA) consensus protocol for predicting the presence of deep endometriosis (DE) on transvaginal ultrasound.