{"paper_id":"7eff74ab-3399-4b57-b492-ebf1bb1ec52c","body_text":"NON-INVASIVE BIOMARKERS AND ADVANCED IMAGING FOR EARLY DETECTION OF ENDOMETRIOSIS: DIAGNOSTIC PERFORMANCE, REAL-WORLD EVIDENCE, ARTIFICIAL INTELLIGENCE, AND IMPLEMENTATION PRIORITIES\nAuthors/Creators\nDescription\nEndometriosis is a chronic, heterogeneous inflammatory disease for which delayed recognition and unequal access to specialist imaging remain important clinical problems. The transition from surgically centered diagnosis to an integrated, non-invasive strategy has increased interest in expert transvaginal ultrasonography, magnetic resonance imaging, circulating biomarkers, and saliva-based microRNA signatures. Objective: To critically appraise the diagnostic role of these modalities and describe how real-world data, causal inference and artificial intelligence can support safe implementation. Methods: A structured critical narrative evidence synthesis was undertaken using identifiable clinical guidelines, regulatory publications, diagnosticaccuracy studies and systematic evidence available through October 2026. This is not a prospectively registered systematic review or a new patient-level analysis; no de novo pooled effect estimates were calculated.\nFiles\nXolboyeva M 222-250 ACU.pdf\nAdditional details\nReferences\n- 1. World Health Organization. Endometriosis. Fact sheet. 2025. Available from: https://www.who.int/news-room/fact-sheets/detail/endometriosis\n- 2. Becker CM, et al. ESHRE guideline: endometriosis. Hum Reprod Open. 2022;2022(2):hoac009. Available from: https://academic.oup.com/hropen/article/2022/2/hoac009/6537540\n- 3. European Society of Human Reproduction and Embryology. Endometriosis guideline. 2022. Available from: https://www.eshre.eu/Guidelines-andLegal/Guidelines/Endometriosis-guideline\n- 4. Validation of a Saliva Micro-RNA Signature for Endometriosis. NEJM Evid. 2025. doi:10.1056/EVIDoa2400195. Available from: https://pubmed.ncbi.nlm.nih.gov/41147827/\n- 5. Transvaginal ultrasound and magnetic resonance imaging in detecting rectosigmoid deep infiltrating endometriosis: a comparative meta-analysis. 2025. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC11955469/","source_license":"CC0","license_restricted":false}