AVANÇOS NO DIAGNÓSTICO NÃO INVASIVO DA ENDOMETRIOSE: ACURÁCIA DOS MÉTODOS DE IMAGEM E PERSPECTIVAS DOS BIOMARCADORES
This integrative review evaluates the diagnostic accuracy of specialized transvaginal ultrasound and MRI for endometriosis, while assessing promising but limited molecular biomarkers and AI tools to reduce diagnostic delays.
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This integrative literature review evaluates the diagnostic accuracy of non-invasive imaging techniques and emerging biomarkers for endometriosis. The authors found that specialized transvaginal ultrasound and magnetic resonance imaging are effective for identifying endometriomas and mapping deep infiltrating disease, although their performance is heavily dependent on lesion location and operator expertise. While molecular markers and artificial intelligence show promise, significant limitations regarding standardization and clinical validation currently hinder their widespread adoption. This paper is centrally about endometriosis — specifically focusing on improving non-invasive diagnostic methods to reduce the delay in diagnosis.
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Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.
References (8)
- Circulating microRNAs as Non-Invasive Biomarkers in Endometriosis Diagnosis-A Systematic Review via openalex
- Noninvasive Imaging Diagnostics for Endometriosis via openalex
- Non-invasive imaging techniques for diagnosis of pelvic deep endometriosis and endometriosis classification systems: an International Consensus Statement via openalex
- Proteomics approach to discovering non-invasive diagnostic biomarkers and understanding the pathogenesis of endometriosis: a systematic review and meta-analysis via openalex
- Transvaginal ultrasound and magnetic resonance imaging in detecting rectosigmoid deep infiltrating endometriosis: a comparative meta-analysis via openalex
- W7131657308 via openalex
- W4412726619 via openalex
- W4391785981 via openalex
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- openalex
- last seen: 2026-11-07T06:05:52.158007+00:00