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 …
Endometriosis is a condition characterized by the growth of tissue similar to the uterine lining outside the uterus. This study aimed to evaluate certain sex hormones and determine the levels …
The diagnosis of endometriosis is often delayed, partly due to low awareness of the disease. One way to elevate awareness is through Instagram campaigns, such as Endometriosis Awareness Month (EAM), …
Background/Objectives: The diagnosis of endometriosis (EM) remains challenging due to the lack of a perfect diagnostic standard and the poor concordance between clinical symptoms and lesion severity. Although laparoscopy is …
The delayed diagnosis of endometriosis Maastricht University
Endometriosis is underpinned by dysfunctional immune responses resulting in failure to clear ectopic endometrial lesions from the peritoneal cavity. The pelvic milieu comprising immature dendritic cells, dysfunctional cytotoxic lymphocytes, and …
Endometriosis has been associated with alterations in the reproductive tract microbiota, yet studies focusing on the endometrial microbiome remain inconsistent, partly due to the low-biomass nature of this niche and …
Women with endometriosis and adenomyosis have an increased risk of age-dependent diseases such as cardiovascular disease and cancer. Whether this reflects differences in biological age is unknown.
Early diagnosis of endometriosis is crucial, yet limited literature exists on factors influencing women's decisions to seek diagnosis. This study explores the role of symptoms, health beliefs, and social influences …
Emerging evidence suggests that the gut microbiota plays a crucial role in endometriosis (Endo) and inflammatory bowel disease (IBD). This study aimed to explore gut microbial signatures in women with …