Prediction of clinical outcome for high-intensity focused ultrasound ablation of adenomyosis based on non-enhanced MRI radiomics
Objectives The study aimed to develop a non-enhanced MRI-based radiomics model for the preoperative prediction of the efficacy of adenomyosis after high-intensity focused ultrasound (HIFU) treatment.Methods The data of 130 patients with adenomyosis who underwent HIFU treatment were reviewed. Based o...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | International Journal of Hyperthermia |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/02656736.2025.2468766 |
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| Summary: | Objectives The study aimed to develop a non-enhanced MRI-based radiomics model for the preoperative prediction of the efficacy of adenomyosis after high-intensity focused ultrasound (HIFU) treatment.Methods The data of 130 patients with adenomyosis who underwent HIFU treatment were reviewed. Based on a non-perfused volume ratio (NPVR) of 50%, the patients were assigned to high ablation rate and low ablation rate groups. A radiomics model was constructed from the screened radiomics features and its output probability was calculated as the radiomics score (Radscore). The clinical-imaging model was constructed from the independent predictors of clinical-imaging characteristics. The combined model was constructed by integrating Radscore and clinical-imaging independent predictors. Receiver operating characteristic (ROC) curves, the Delong test, and decision curve analysis (DCA) were used to evaluate the models.Results The combined model had the best overall performance among the three models. The AUC (95% CI), specificity, sensitivity, accuracy, and precision of the combined model were 0.860 (0.786–0.935), 0.780, 0.756, 0.769, 0.738 in the training set, and 0.878 (0.774–0.983), 0.859, 0.667, 0.769, 0.800 in the test set, respectively. The Delong test showed that the performance of both the radiomics and combined models differed significantly from the clinical-imaging model. But the performance of the combined and the radiomics model was statistically equivalent. The DCA indicated that the combined model had better clinical net benefit.Conclusion The combined model based on non-enhanced MRI radiomics was effective in predicting the outcome of HIFU ablation of adenomyosis before surgery. |
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| ISSN: | 0265-6736 1464-5157 |