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.
and Hypothesis: Endometriosis often causes pelvic pain, limiting movement and physical function. Performance-based tests are fundamental to measure functional status among these women. This study aimed to evaluate the reliability …
To evaluate whether the type of anatomical distortion-spatial or adhesive-determines the relative performance of the energy device in complex total laparoscopic hysterectomy (TLH).
Transcriptome-based drug repurposing can accelerate therapeutic discovery, but is limited by fragmented resources, inconsistent quality control, and reliance on single perturbation databases. We developed CDRPipe ( C omputational D rug …
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 …
Introduction Endometriosis is a common cause of infertility and affects reproductive outcomes through multiple mechanisms, including pelvic adhesions, altered pelvic anatomy, and inflammatory changes. The Endometriosis Fertility Index (EFI) was …
Reliable non-invasive biomarkers for endometriosis remain unavailable in routine practice, and their translational value depends on performance in symptomatic referral populations rather than only against healthy controls. We evaluated Nuclear …
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 …
To address the need for more objective and reproducible preoperative diagnosis of deep infiltrating endometriosis (DIE), this study aimed to develop and validate a weighted ensemble machine learning (ML) model …