Ovarian endometriosis (OvE) is a gynecological disorder with endometrial tissue in the ovaries, for which effective non-invasive diagnosis and curative treatments are currently lacking. Serum samples were collected from both …
To assess the prevalence, authorship, and reliability of educational fertility-related information shared on Brazilian Instagram, measured by the DISCERN instrument.
This study investigates how phthalate exposure contributes to uterine fibroid (UF) development by studying the effects of the Mono-(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP), a metabolite of Di(2-ethylhexyl) phthalate, on myometrial stem cells …
Background/Objectives: Fallopian tube endometriosis is frequently underreported due to its nonspecific presentation, limitations in imaging detection, and the fact that histologic diagnosis often requires the submission of the entire fallopian …
Objective: To investigate the differences in clinicopathological and molecular characteristics between pure ovarian endometrioid carcinoma (POEC) and synchronous endometrial and ovarian endometrioid carcinoma (SEOEC), aiming to provide a basis for …
Endometriosis is a systemic inflammatory disease known to increase the risk of cardiovascular disease. The inducible form of cyclooxygenase (COX), COX-2, is an inflammatory enzyme upregulated in endometriosis with COX …
Endometriosis is characterized by ectopic growth of endometrial tissue causing severe abdominal pain and inflammation during disease progression. Myrrh, a resin collected from trees of genus Commiphora known for its …
Endometriosis, an atypical benign disorder, may disrupt epithelial-mesenchymal transition (EMT) due to a dysregulated balance between matrix metalloproteinases (MMPs) and their inhibitors. Ramipril, an angiotensin converting enzyme (ACE) inhibitor, is …
With the increasing use of assisted reproductive technology (ART), more women with endometriosis are achieving pregnancy through ART. However, the impact of endometriosis on pregnancy and perinatal outcomes following ART …
Researchers have explored machine learning (ML) in diagnosing endometriosis. However, systematic evidence on its diagnostic accuracy for endometriosis remains scarce.