Assessment of Risk Factors Associated with Severe Endometriosis and Establishment of Preoperative Prediction Model
This study identified age ≥ 40, bilateral lesions, pelvic nodules, adenomyosis, and specific biomarker levels as independent risk factors for severe endometriosis, developing a preoperative prediction model with good diagnostic efficiency.
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Cited by (8)
- Comparison of Machine Learning Models for Long-Term Recurrence of Endometriosis Treated by Laparoscopy Combined With GnRHa 2025
- Fertility outcome following ovarian stimulation in infertile women having pretreatment with levonorgestrel releasing intrauterine system versus dienogest for symptomatic adenomyosis 2025
- Feasibility of Predicting Surgical Duration in Endometriosis Using Numerical Multi-Scoring System of Endometriosis (NMS-E) 2024
- Logistic regression analysis of imaging characteristics of transvaginal ultrasonography for predicting severe endometriosis by r-ASRM classification via laparoscopy 2024
- Adenomyosis—A Call for Awareness, Early Detection, and Effective Treatment Strategies: A Narrative Review 2024
- Relationship between triglyceride-glucose index and endometriosis: a cross-sectional analysis 2024
- Adenomyosis: A Call for Awareness, Early Detection and Effective Treatment Strategies 2024
- Compare the Efficacy of Dienogest and the Levonorgestrel Intrauterine System in Women with Adenomyosis 2023
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