https://www.selleckchem.com/pr....oducts/NVP-TAE684.ht
Nineteen radiomics features were selected to calculate Rad-score. Breast imaging reporting and data system (BI-RADS) category and age were identified as predictive factors. The radiomics nomogram combined with Rad-score, BI-RADS category, and age showed better performance (area under curves [AUC] 0.940, 95% confidence interval [CI] 0.804-0.992) than Rad-score (AUC 0.868, 95% CI 0.711-0.958) and clinico-radiological model (AUC 0.864, 95% CI 0.706-0.956) in the validation cohort. The calibration curve and DCA showed that the radiomics
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