Endometriosis and major depressive disorder (MDD) pose significant global health burdens. Despite pathophysiological overlaps, existing epidemiological studies predominantly examine their unidirectional associations, often constrained by cross-sectional designs and small sample …
To evaluate whether ultrasound-based #Enzian classification predicts pain profiles and response to hormonal therapy in patients with endometriosis. Endometriosis is a chronic inflammatory disease affecting 10% of reproductive-age women, often …
Dyslipidaemia is related to endometriosis, but it is not known which lipid component is most relevant, and whether the observed correlation reflects the causal relationship. The relationship between triglycerides (TG) …
Endometriosis is a common gynecological disease associated with pelvic pain and infertility. Despite several existing theories, the etiology and molecular mechanisms of endometriosis remain to be investigated. Here we report …
Ureteric injury is a serious complication of gynaecological surgery, particularly in cases involving deep endometriosis. This prospective cohort study assessed the feasibility and safety of intra-ureteric indocyanine green (ICG) for …
Artificial intelligence (AI)-based algorithms are being implemented in breast screening to detect breast cancers on mammographic images. We aimed to apply an epidemiological approach to demonstrate how a cancer detection …
Infertility is a common reproductive health issue, associated with increased risks of pregnancy complications. However, shared underlying risk factors such as age, BMI, PCOS, endometriosis, and lifestyle may partly explain …
Identification of appropriate biomarkers is of great clinical significance for early diagnosis of endometriosis (EMs). This study aimed to comprehensively analyze the association between EMs and blood and urine biomarkers …
Predictive tools are lacking for pain-related outcomes after endometriosis surgery. The objective of this study was to develop and validate a machine learning-based clinical model to predict poor pain-related quality …