Endometriosis is a gynecological disorder predominantly affecting women of reproductive age and is considered a potential risk factor for the development of endometrial cancer. However, the molecular mechanisms underlying the …
This study aimed to establish a risk prediction model of endometriosis in infertile women and verify the model.
A Risk-Stratified Model for Predicting Endometrial Atypical Hyperplasia and Cancer to Guide Biopsy Decisions in Asymptomatic Postmenopausal Women Frontiers
This study evaluated the diagnostic potential of Fourier-transform infrared (FTIR) spectroscopy combined with machine learning for the detection of ovarian, bowel, and peritoneal endometriosis. The Boruta algorithm was applied to …
Endometriosis (EMs) and depression are both common conditions that have a significant negative impact on quality of life. However, it is still unclear about the relationship between them. The study …
Endometriosis (EMS) is a chronic gynecological condition affecting 6-10% of reproductive-age women. These lesions, albeit of benign nature, present cancer-like features, and may progress to epithelial ovarian cancer (EOC) through …
Insights and limitations of endometrial cancer risk prediction models for clinical applicability: a systematic review BMC Cancer
Endometriosis (EM), a prevalent gynecological disorder in reproductive-age women, lacks reliable noninvasive diagnostic tools. EM may be detected by neutrophil extracellular traps (NETs), which are essential to inflammation and immunological …
To identify the predictors for periureteral adhesions preoperatively.
Endometriosis affects 1 in 10 women globally. We aimed to determine health provider involvement and preferred methods of obtaining an endometriosis diagnosis across international jurisdictions. A global cross-sectional survey, distributed …