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 …
Studies indicate that endometriosis (EMs) is associated with inflammation and metabolic abnormalities. The Remnant Cholesterol Inflammatory Index (RCII) concurrently reflects both inflammatory and metabolic status. However, the relationship between RCII …
The likelihood of a successful pregnancy is influenced by a set of variables that influence endometrial receptivity, including hormonal, genetic, metabolic, age, lifestyle, and immunological factors. Among these, the endometrial …
This study aims to explore the value of MRI intravoxel incoherent motion (IVIM) combined with T2 mapping in predicting the malignancy of endometriosis (EM) and construct a noninvasive preoperative risk …
Determine the accuracy of deep endometriosis (DE) and ovarian endometrioma (OE) diagnosis on pelvic MRI in non-specialized tertiary healthcare, taking surgical diagnosis as the reference test. Additionally, we aimed to …
Endometriosis affects approximately 10% of women of reproductive age and is associated with increased risks of infertility and miscarriage. Although the spontaneous miscarriage rate in women with endometriosis is higher …
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 …
To identify the predictors for periureteral adhesions preoperatively.
Adenomyosis and endometriosis are chronic gynecological disorders with overlapping mechanisms and symptoms, both linked to impaired sexual health and relationships. This study compared sexual function, sexual quality of life, and …
Background: This study examines the impact of endometriosis on sexual function, focusing on disease localization, pain severity, and psychosocial factors. It integrates the rASRM and Enzian classification systems to explore …