The objective of this review is to identify key clinical lessons and highlight diagnostic and therapeutic strategies derived from case reports and recent literature. Particular attention is given to recognising …
Endometriosis is a common gynecological pathology, with an incidence of nearly 10% in patients of reproductive age, and is still underdiagnosed. A thorough and well-spread diagnostic study of endometriosis based …
Determine the accuracy of deep endometriosis (DE) and ovarian endometrioma (OE) diagnosis on pelvic MRI in non-specialized tertiary healthcare, taking surgical diagnosis as the reference test. Additionally, we aimed to …
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 …
Description Following a complaint and technical (editorial) investigation, the authors were requested to provide essential documentation to verify the reliability, validity, and ethical compliance of the study published. Despite repeated …
To assess the reproducibility and the diagnostic accuracy of MRI for the assessment of (#)ENZIAN classification in patients with deep endometriosis by means of a meta-analysis.
Background: Adenomyosis remains difficult to diagnose non-invasively due to clinical overlap with endometriosis and the limited specificity of imaging techniques. This pilot study evaluated whether serum- and urine-derived microRNA (miRNA) …
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 …
This study evaluated the diagnostic potential of Fourier-transform infrared (FTIR) spectroscopy combined with machine learning for the detection of ovarian, bowel, and peritoneal endometriosis. The Boruta algorithm was applied to …