Objective This study aimed to develop a predictive model for ovarian endometrioma (OE) recurrence in patients with congenital obstructive Müllerian anomalies (OMAs) undergoing surgical intervention. Methods This retrospective cohort study included 139 OMA patients with histologically confirmed ovarian endometrioma undergoing complete lesion excision and anatomical reconstruction between January 2013 and December 2020. A multivariable Cox regression analysis identified recurrence predictors; a nomogram was constructed and validated via time-dependent receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis. Results The mean surgical age of 139 patients was 20.70 ± 5.81 years. Over a mean follow-up of 80.8 months, 29.5% of patients experienced OE recurrence. Cumulative recurrence rates were 1.4% (24 months), 10.1% (36 months), 27.1% (60 months), and 34.4% (120 months). In a multivariate analysis, independent risk factors for endometrioma recurrence, such as preoperative hematometra 5 cm 3 (hazard ratio HR: 2.650, 95%CI: 1.356–5.17, p = 0.004), rASRM score 40 (HR: 3.488, 95%CI: 1.252–9.709, p = 0.017), non-postoperative pregnancy (HR: 5.329, 95%CI: 1.399–20.307, p = 0.014), and hormonal treatment ≤30 months (HR: 3.563, 95%CI: 1.707–7.439, p = 0.001), and the other essential recurrent factor, surgical age, were all included in the nomogram. The nomogram showed strong discrimination (5-year AUC = 0.862, 10-year AUC = 0.808) and calibration, with decision curve analysis confirming clinical utility across probability thresholds. Internal validation via repeated K-fold cross-validation further showed robust model performance (5-year AUC = 0.864, 10-year AUC = 0.800). Conclusion This model effectively stratifies OE recurrence risk in OMA patients post-surgery, guiding personalized management. Early surgical intervention may optimize endometrioma recurrence prevention to relieve Müllerian duct obstruction combined with prolonged postoperative medical suppression.
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Xiaotong Liu
State Key Laboratory of Oncogene and Related Genes
Ning Zhang
State Key Laboratory of Oncogene and Related Genes
Xuyin Zhang
SHILAP Revista de lepidopterología
Frontiers in Medicine
State Key Laboratory of Oncogene and Related Genes
Obstetrics and Gynecology Hospital of Fudan University
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Liu et al. (Thu,) studied this question.
synapsesocial.com/papers/69a3d747ec16d51705d2dbfd — DOI: https://doi.org/10.3389/fmed.2026.1714370