Phthalates (PAEs), typical endocrine-disrupting chemicals (EDCs) that accumulate in the human body to induce reproductive toxicity, have epidemiological links to endometriosis (EM), but the underlying micro-mechanisms remain unclear. Ferroptosis is …
Endometriosis is a chronic inflammatory disease with frequent recurrence. Statins, due to their anti-inflammatory and antioxidant properties, may help control disease progression, but comparative data on local administration are limited. …
Endometriosis diagnosis is often limited by the resolution of conventional imaging techniques (ultrasound/non-targeted MRI) as well as the invasiveness and recurrence risks associated with laparoscopy. To overcome these challenges, we …
Endometriosis is a disease characterized by fibrosis and adhesions. There are still no treatment methods targeting these conditions. One reason for this is the lack of useful animal models to …
Ureteral endometriosis (UE) is a rare but potentially devastating manifestation of deep infiltrating endometriosis, often remaining asymptomatic until irreversible renal damage occurs. We present the case of a 42-year-old woman …
Background: The individual and social burden of endometriosis is high, and the diagnosis is usually delayed by 7-10 years. Menstrual effluent (ME) represents an accessible and uniquely informative biofluid. This …
Background Endometriosis often requires surgery, especially in deep-infiltrating cases unresponsive to medical therapy. This study presents our institutional experience with robotic-assisted surgery (RAS) for endometriosis in Indian patients. Methodology This …
Artificial intelligence (AI) is revolutionizing how we practice medicine. In areas where we have traditionally struggled, such as diagnosing endometriosis, AI has significant potential to improve the breadth and accuracy …
ObjectiveThis study aimed to investigate the relationship between the cardiometabolic index and the prevalence of endometriosis among reproductive-age women in the United States. This cross-sectional population-based study used data from …
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 …