Central Sensitization Predicts Poorer Hormonal Treatment Response in Endometriosis: Study Medical Dialogues
Central Sensitization Predicts Poorer Hormonal Treatment Response in Endometriosis: Study medicaldialogues.in
Uterine corpus endometrial carcinoma (UCEC) ranks as the 6th most common malignancy among women. Emerging evidence indicates that the dysregulation of tRNA-derived fragments (tRFs) is involved in the pathogenesis of …
Endometriosis is characterized by inflammation and fibrosis, in which cytokines and cytokine-macrophage interactions serve as critical mediators. However, the specific mechanisms that initiate the fibrotic cascade in endometriosis remain poorly …
Recurrent hemorrhagic pleural effusion presents as a challenge for both the clinician and the patient, with common causes being tuberculosis, malignancy, and collagen vascular diseases. Among uncommon causes of recurrent …
Endometriosis (EMS) and inflammatory bowel disease (IBD) are both chronic inflammatory disorders with overlapping clinical features, suggesting a potentially shared etiology. Although epidemiological studies have reported an association between the …
Endometriosis (EMs) is characterized by chronic pelvic inflammation, but the etiology of this inflammation remains poorly understood. The senescence-associated secretory phenotype (SASP), whereby senescent cells secrete pro-inflammatory cytokines, is a …
Endometriosis is a common, chronic, estrogen-dependent gynecological disorder characterized by the growth of endometrial-like tissue outside the uterus and frequently associated with pelvic pain and infertility. Despite its high prevalence, …
Background: Endometriosis is a chronic inflammatory disease affecting approximately 10% of women of reproductive age and is commonly associated with pelvic pain and infertility. Increasing evidence indicates that lower urinary …
Numerous studies have shown that the diagnostic performance and reproducibility of visual recognition of endometriosis during laparoscopy are poor. The use of artificial intelligence (AI) seems relevant for exhaustive lesion …