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 …
MicroRNAs (miRNAs) have emerged as robust biomarkers for diagnosing and prognosing gynecological diseases due to their disease-specific expression and remarkable stability in body fluids. Despite the inherent instability of RNA …
Objectives: This study aimed to systematically compare the diagnostic accuracy of magnetic resonance imaging (MRI) and transvaginal ultrasound (TVUS) for deep infiltrating endometriosis (DIE) and to evaluate their impact on …
Diagnostic Accuracy of Endometrial Sampling Methods for Determining Histologic Type and Grade in Endometrial Cancer: A Retrospective Cohort Study Cureus
Background: Deep infiltrating endometriosis (DIE) frequently affects the posterior pelvic compartment, where accurate non-invasive imaging is essential for diagnosis and surgical planning. Aim: This systematic review evaluates the diagnostic performance …
To assess the impact of complex disease states, including pouch of Douglas (POD) obliteration and deep endometriosis (DE) of the bowel, on the diagnostic accuracy of transvaginal ultrasound (TVUS) for …
Currently, CA125 combined with other biomarkers significantly outperforms CA125 alone in diagnosing endometriosis (EM), but the efficiency of combined diagnosis remains unclear. This network meta-analysis compared the accuracy of CA125 …