4.2 Article

Endometriosis: A Retrospective Analysis on Diagnostic Data in a Cohort of 4,401 Patients

期刊

IN VIVO
卷 36, 期 1, 页码 430-438

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INT INST ANTICANCER RESEARCH
DOI: 10.21873/invivo.12721

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Endometriosis; retrospective study; non-invasive diagnosis; correlation analysis; MRI; laparoscopy; clinical signs; serum biomarkers

资金

  1. Fondazione Italiana Endometriosi

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Endometriosis is a prevalent gynecological disease with uncertainties in its pathogenesis, diagnosis, and therapy. This study analyzed a large number of patients' clinical data and diagnostic results, revealing that MRI has high sensitivity and specificity for ovarian lesions, while laparoscopy is more reliable for detecting peritoneal lesions. Clinical symptoms are crucial for diagnosing deep lesions, and certain biomarkers may have value in monitoring patients' condition.
Background/Aim: Endometriosis is a gynecological estrogen-dependent inflammatory disease due to ectopic endometrial tissue and often associated with pelvic pain. Despite its high prevalence, there are still uncertainties about its pathogenesis, diagnosis, and therapy. Patients and Methods: This study presents a retrospective study conducted on 4,401 endometriosis patients, 584 of which underwent laparoscopic procedures. The archived data about clinical signs, magnetic resonance imaging (MRI) results, topography of the endometriosis lesions (obtained via laparoscopy) associated diseases, sample analysis and histological findings were analyzed. Next, the statistical associations between the information for each case, provided by these diagnostic tools were determined. Results: MRI is the most sensitive and specific diagnostic system for ovarian lesions, but poor in sensitivity and specificity for deep endometriosis lesions and not indicated for peritoneal lesions which remain the exclusive prerogative of laparoscopy. Clinical signs are essential for diagnosing deep lesions. The Ca125 and Ca19.9 markers have a poor reliability and their negativity in symptomatic patients has no clinical value, while in positive cases it could probably be used as a monitoring parameter. Conclusion: The results generated will help provide an accurate picture of the topography and distribution of endometriotic lesions. Correlation analyses between the data generated by the clinical-instrumental examinations and those on the site of the disease identified by laparoscopy, allow to define the predictive value of the clinical-instrumental signs in the diagnosis and localization of endometriotic disease.

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