Latest Articles

Development of an AI-based magnetic resonance imaging reading support program (AMP) for deep endometriosis diagnosis.

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 …

RETRACTED ARTICLE: Effects of Kuntai capsule on breast pain and vaginal bleeding in postmenopausal women.

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 …

Deep endometriosis: evaluation of ENZIAN and #ENZIAN classification systems by MRI compared with surgery-a meta-analysis.

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.

Regarding "A Multicenter Study Assessing the Diagnostic Accuracy of Ultrasonographic Features of the Uterosacral Ligaments in Patients with and without Endometriosis".

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 …

Machine-learning-derived prediction models of recurrence of ovarian endometriosis after laparoscopic surgery.

Endometriosis is a long-term health problem that affects a significant number of women globally. Among the various forms of endometriosis, ovarian endometriosis (OEM) is the most prevalent. This research aimed …

Serum Galectin-1 as a Diagnostic Biomarker in Endometriosis: A Prospective Longitudinal Study.

Endometriosis is a chronic condition characterized by the presence of endometrial-like tissue outside the uterine cavity. It affects ~10% of reproductive-aged individuals and is associated with dysmenorrhea and infertility. Although …