Obtaining a diagnosis of endometriosis is often a long and involved journey. Little specific information exists about this journey for young people. This qualitative systematic review and thematic synthesis aimed …
Background/Objectives: To explore potential dry eye-related ocular surface functional alterations in women at the time of first diagnosis of endometriosis or adenomyosis in a real-world clinical setting. Methods: This was …
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. …
This case report describes a rare presentation of primary periumbilical endometriosis, also known as Villar's nodule, highlighting the diagnostic difficulties and the importance of maintaining clinical suspicion. A 37‑year‑old woman …
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 …