Endometriosis-associated ovarian cancer (EAOC) is a rare subtype of ovarian cancer arising from the malignant transformation of endometriosis (EMS). Despite growing clinical awareness, its underlying pathogenic mechanisms are not fully …
Adenomyosis frequently coexists with endometriosis and shares overlapping symptoms; however, the symptom burden of isolated adenomyosis remains insufficiently defined. The aim of this study was to compare the severity and …
The pathogenesis of endometriosis (EM) remains intricate and multifactorial. This study aimed to investigate the biological functions of microRNA-769-5p (miR-769-5p) in an in vitro model of EM. Serum was obtained …
Circadian rhythms are ~24 h endogenous rhythms driven by both central and peripheral clocks, with their core mechanism being a transcription‑translation feedback loop mediated by master clock genes. The present …
Endometriosis (EMs) is a chronic gynaecological condition characterised by the ectopic growth of endometrial tissue; however, its molecular mechanisms remain insufficiently understood. Ferroptosis, an iron-dependent form of regulated cell death, …
Endometriosis patients often suffer from more severe pain in association with surgical procedures. The aim of this study was to investigate whether laparoscopically guided transversus abdominis plane block (LTAP) offers …
Catamenial pneumothorax is a rare manifestation of thoracic endometriosis syndrome and is associated with a high risk of recurrence despite surgical intervention. Increasingly, multimodal strategies combining thoracic surgery with adjunctive …
Endometriosis is a chronic gynecological disorder that affects approximately 10% of women of reproductive age. In adolescents, it frequently remains underdiagnosed due to the heterogeneity of its clinical presentation. Pelvic …
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 …