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Urine and Serum miRNA Signatures for the Non-Invasive Diagnosis of Adenomyosis: A Machine Learning-Based Pilot Study.

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) …

Diagnostic accuracy of non-coding RNA for detecting endometriosis: A systematic review and meta-analysis.

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 …

Detection of peritoneal, ovarian, and bowel endometriosis using FTIR spectroscopy and machine learning.

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 …

Circulating miRNA as diagnostic tools for gynecological diseases and their applications in biosensor development.

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 …

The Diagnostic Accuracy of Magnetic Resonance Imaging Versus Transvaginal Ultrasound in Deep Infiltrating Endometriosis and Their Impact on Surgical Decision-Making: A Systematic Review.

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 …

The Diagnostic Performance of Transvaginal Ultrasound for Posterior Compartment Endometriosis Compared to Laparoscopic and Histopathological Findings: A Systematic Review.

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 …

Influence of Complex Disease on the Accuracy of Transvaginal Ultrasound Diagnosis of Uterosacral Ligament Endometriosis.

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 …

Diagnostic accuracy of combination of CA125 for endometriosis: A network meta-analysis.

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 …

Comment on "Diagnostic Accuracy of MRI Using the #Enzian Classification in Endometriosis: A Single-Center Retrospective Cohort Study".

Tailored compartment-based comparison of transvaginal ultrasound and MRI for suspected deep pelvic endometriosis: a prospective concordance study.

To assess the intermodality agreement between transvaginal ultrasound (TVUS) and magnetic resonance imaging (MRI) in the evaluation of deep pelvic endometriosis (DE), using a compartment-based framework that includes both classical …