Diagnosis of endometriosis faces significant challenges including diagnostic delay and reliance on invasive procedures. Deep endometriosis (DE) poses additional difficulties in non-invasive diagnosis due to its subtle and complex imaging …
Endometriosis is a complex, chronic inflammatory gynecological disorder with estrogen‑dependent characteristics that severely impairs the quality of life of women and potentially leads to infertility. However, its pathogenesis remains poorly …
Endometriosis is a chronic inflammatory estrogen-dependent inflammatory disorder. Theobromine has been implicated in diverse health benefits, including anti-inflammatory and vasodilatory properties. However, the precise association between theobromine and endometriosis remains …
Endometriosis diagnosis currently relies on invasive laparoscopy, creating a need for non-invasive alternatives. This study evaluates microRNAs (miRNAs) as potential diagnostic biomarkers for endometriosis through systematic evidence synthesis and performance …
Endometriosis affects 1 in 10 women globally. We aimed to determine health provider involvement and preferred methods of obtaining an endometriosis diagnosis across international jurisdictions. A global cross-sectional survey, distributed …
Endometriosis is a significant and prevalent health issue. Delayed diagnosis is common and the associated delay to treatment is associated with high socioeconomic and personal costs including chronic pain, infertility …
Endometriosis is a chronic and inflammatory condition that often presents with chronic pelvic pain, dysmenorrhea, and dyspareunia, thus having important effects on quality of life. There are two proposed hypotheses …
Endometriosis can cause gastrointestinal symptoms that sometimes lead to incorrect diagnosis of irritable bowel syndrome (IBS). Receptors of thyroid-stimulating hormone (TSH) are found in the endometrium and are overexpressed in …
Endometriosis diagnosis is challenging due to non-specific symptoms that overlap with other gynaecological conditions. This study proposes a non-invasive Machine Learning (ML) ‒ based urine test using Attenuated Total Reflection …