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.
Atypical endometriosis (AE) is a histologically distinct entity considered a potential precursor to Endometriosis-Associated Ovarian Cancer (EAOC). Preoperative diagnosis is challenging as imaging often fails to distinguish AE from benign …
Endometriosis (EM) is a condition that impacts roughly 10% of women within the reproductive age demographic on a global scale. Due to the limitations of conventional diagnostic techniques for endometriosis, …
Background: The individual and social burden of endometriosis is high, and the diagnosis is usually delayed by 7-10 years. Menstrual effluent (ME) represents an accessible and uniquely informative biofluid. This …
Background/Objectives: Endometriosis is a chronic inflammatory disease characterized by ectopic endometrial tissue growth and is strongly associated with oxidative stress; however, systemic biomarkers reflecting this stress response remain limited. Advanced …
Endometriosis is a chronic inflammatory disease characterized by ectopic endometrial tissue growth, causing pain and infertility. Diagnosis is often delayed due to reliance on imaging and invasive methods, highlighting the …
To assess the diagnostic performance of the ultrasound-based #Enzian classification in comparison with laparoscopic surgical findings in patients with endometriosis.