This study aimed to construct and validate a nomogram for predicting natural pregnancy after hysteroscopy and laparoscopy in patients with tubal infertility and pelvic endometriosis, providing a basis for precise …
One-class classifier (OCC) models are widely applied to solve classification problems where control or class modeling from a target class is necessary. In this study, OCC models such as Data …
To evaluate the performance of transvaginal ultrasound (TVS) using the International Deep Endometriosis Analysis (IDEA) terminology in the detection of deep endometriosis (DE).
Endometriosis (EM) affects approximately 10% of women of reproductive age and remains a prevalent estrogen-dependent gynecological disorder with limited therapeutic efficacy and high recurrence rates. Ferroptosis-an iron-dependent, non-apoptotic form of …
Diagnosis of endometriosis faces significant challenges including diagnostic delay and reliance on invasive procedures. Deep endometriosis (DE) poses additional difficulties in non-invasive diagnosis due to its subtle and complex imaging …
Endometriosis is a common chronic condition associated with debilitating pain and fatigue. Wearable technology has the potential to improve symptom monitoring in endometriosis where symptom severity has been traditionally evaluated …
Endometriosis (EMs) is a common gynecological disorder frequently associated with infertility, yet the underlying immune mechanisms remain poorly understood. Sun's Bushen Huayu Formula (BSHYF) has been clinically applied to improve …
To assess the diagnostic performance of the ultrasound-based #Enzian classification in comparison with laparoscopic surgical findings in patients with endometriosis.
To assess the reproducibility and the diagnostic accuracy of MRI for the assessment of (#)ENZIAN classification in patients with deep endometriosis by means of a meta-analysis.
This study explores the relationship between inflammatory biomarkers and the risk of endometriosis, aiming to develop a predictive model using National Health and Nutrition Examination Survey (1999-2006) data. The dataset …