Endometriosis is a prevalent gynecologic disorder associated with infertility and increased cancer risk, necessitating the development of sensitive and reliable diagnostic methods. Circulating microRNAs (miRNAs) have emerged as promising noninvasive …
The link between endometriosis and other medical conditions is gaining attention. Such insights could enhance clinical approaches to manage the disease and potentially reveal new, unrecognized mechanisms of its development. …
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 …