Nomogram for predicting the efficacy of high-intensity focused ultrasound ablation for uterine fibroids based on oxytocin experimentation and ultrasonographic features: a retrospective single-center study.

Objective: To develop and validate a nomogram for predicting the effectiveness of high-intensity focused ultrasound (HIFU) ablation for uterine fibroids based on oxytocin experiments combined with sonographic features.

Methods: Sixty patients with uterine fibroids treated with HIFU combined with oxytocin for uterine fibroids were retrospectively analyzed. Before HIFU treatment, all patients underwent abdominal ultrasonography and oxytocin testing for classification. Predictive factors were selected through univariate and multivariate logistic regression analyses. A predictive model for the clinical efficacy of HIFU treatment of uterine fibroids was established using the R language. The model was visualized by a nomogram, and its discriminative ability, calibration, and clinical value were evaluated.

Results: Types of myomas, classification of blood flow around the myomas, location of the myomas, and classification of oxytocin were selected as the final predictive factors to construct the model. The calibration curve of the nomogram demonstrated good consistency between actual observations and nomogram predictions, with an absolute error of 0.066. The model's discriminative ability was evaluated by the area under the curve, which was 0.887 (95% CI: 0.818-0.955). The sensitivity and specificity were 84.4% and 78.8%, respectively, indicating that the model had a good predictive value for the ablation situation. Decision curve analysis showed that the model had high clinical applicability, with the maximum net benefit threshold probability interval ranging from 12.0% to 80.5%.

Conclusion: The prediction model for HIFU treatment of uterine fibroids, based on ultrasound characteristics and oxytocin test, shows strong predictive ability and may help clinicians choose suitable patients for treatment.