ArticleJournal of clinical medicine2023
Predictive Model for the Non-Invasive Diagnosis of Endometriosis Based on Clinical Parameters.
Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Diagnostic accuracy of machine learning for endometriosis: a systematic review and meta-analysis.Frontiers in endocrinology · 2025Pooled it
- Non-Invasive Diagnosis of Endometriosis by Questionnaires in Patients Using Contraception.Journal of clinical medicine · 2025Article
- Urinary Urocortin as a Potential Non-Invasive Biomarker in Endometriosis: Exploratory Study with Histone H4.Medicina (Kaunas, Lithuania) · 2025Article
- Screening for endometriosis: A scoping review of screening measures that could support early diagnosis.BMC women's health · 2025Article
- Prediction of genomic biomarkers for endometriosis using the transcriptomic dataset.World journal of clinical cases · 2025Article
- Non-Surgical Options for The Diagnosis of Endometriosis in Low-Resource Settings: A Comparative Study.International journal of women's health · 2025Article
- Anogenital distance on MRI does not correlate to surgical diagnosis of endometriosis in patients without prior abdominal surgery.Scientific reports · 2024Article
- Single-Cell RNA Sequencing of PBMCs Identified Junction Plakoglobin (JUP) as Stratification Biomarker for Endometriosis.International journal of molecular sciences · 2024Article
- Exploring the Shared Pathogenesis Mechanisms of Endometriosis and Cancer: Stemness and Targeted Treatments of Its Molecular Pathways-A Narrative Review.International journal of molecular sciences · 2024Review
- Surgical Treatment of Patients with Endometriosis in the Certified Endometriosis Centers of the DACH Region - A Subanalysis of the Quality Assurance Study QS ENDO pilot.Geburtshilfe und Frauenheilkunde · 2024Article
- An accessible, non-invasive tool for endometriosis diagnosis reveals an association between age at symptom onset and endometriosis symptom prevalence.Journal of endometriosis and pelvic pain disorders · 2024Article
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesAre other pain symptoms in addition to dysmenorrhea, dyspareunia, dyschezia, dysuria, and chronic pelvic pain correlated to endometriosis and suitable for a clinical prediction model?
methodsWe conducted a prospective study from 2016 to 2022, including a total of 269 women with numerous pain symptoms and other parameters. All women filled out two questionnaires and were examined by palpation and transvaginal ultrasound (TVUS). In cases of suspected deep endometriosis, magnetic resonance imaging (MRI) was performed. After the operation, endometriosis was diagnosed by histological examination.
resultsAll in all, 30 significant parameters and 6 significant numeric rating scale (NRS) scores associated with endometriosis could be identified: 7 pain adjectives, 8 endometriosis-associated pain symptoms, 5 pain localizations, 6 parameters from the PainDETECT, consumption of analgesics, and allergies. Furthermore, longer pain duration (before, during, and after menstruation) was observed in women with endometriosis compared to women without endometriosis (34.0% vs. 12.3%, respectively). Although no specific pain for endometriosis could be identified for all women, a subgroup with endometriosis reported radiating pain to the thighs/legs in contrast to a lower number of women without endometriosis (33.9% vs. 15.2%, respectively). Furthermore, a subgroup of women with endometriosis suffered from dysuria compared to patients without endometriosis (32.2% vs. 4.3%, respectively). Remarkably, the numbers of significant parameters were significantly higher in women with endometriosis compared to women without endometriosis (14.10 ± 4.2 vs. 7.75 ± 5.8, respectively). A decision tree was developed, resulting in 0.904 sensitivity, 0.750 specificity, 0.874 positive predictive values (PPV), 0.802 negative predictive values (NPV), 28.235 odds ratio (OR), and 4.423 relative risks (RR). The PPV of 0.874 is comparable to the positive prediction of endometriosis by the clinicians of 0.86 (177/205).
conclusionsThe presented predictive model will enable a non-invasive diagnosis of endometriosis and can also be used by both patients and clinicians for surveillance of the disease before and after surgery. In cases of positivety, as evaluated by the questionnaire, patients can then seek advice again. Similarly, patients without an operation but with medical therapy can be monitored with the questionnaire.
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