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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.

Published: Nov. 29, 2025, midnight
Integrating inflammatory biomarkers and demographic variables with machine learning to predict endometriosis risk.

This study explores the relationship between inflammatory biomarkers and the risk of endometriosis, aiming to develop a predictive model using National Health and Nutrition Examination Survey (1999-2006) data. The dataset …

Published: Nov. 27, 2025, midnight
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) …

Published: Nov. 26, 2025, midnight
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 …

Published: Nov. 24, 2025, midnight
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 …

Published: Nov. 23, 2025, midnight
Trans epistemologies of adeno and endo pain: a history of perspective in gynaecology.

This is a creative-critical essay about the shape of menstrual pain set against 'the politics of the uterus' (Paul B Preciado), drawing from personal experiences of adenomyosis. The premise thinks …

Published: Nov. 19, 2025, midnight
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 …

Published: Nov. 10, 2025, midnight
Metabolome analysis as a potential source of endometriosis biomarkers with the use of multiomics approach in its diagnosis.

Endometriosis poses diagnostic challenges. This study aimed to analyze the metabolomic profiles of plasma and peritoneal fluid samples obtained from women with endometriosis compared to controls. Our multicenter study involved …

Published: Nov. 5, 2025, midnight
Relationship Between Inflammation-Nutrition Composite Indices and Ovarian Endometrioma: A Retrospective Observational Study.

Endometriosis is a chronic inflammatory disease with impacts on reproduction, health and quality of life, yet its diagnosis is often delayed. Ovarian endometrioma (OMA) is the most common subtype of …

Published: Oct. 27, 2025, midnight
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 …

Published: Oct. 25, 2025, midnight
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