The development of nomogram and evaluation of model performance
high-grade
REGRESSION
The clinic-radiological characteristics and Rad-score from the training cohort were subjected to a multivariate logistic regression analysis to obtain a radiomics nomogram score (Nomo-score): Nomo-score= -3.4699 + 0.9858 × Rad-score + 2.1449 × Shape + 2.4012 × REV2 (Fig. 
 A radiomics nomogram distinguishing between high-grade and low-grade small ccRCC.
Diagnostic performance of the clinical model, the radiomics model and the radiomics nomogramClinicalmodel0.754(0.650–0.850)0.706(0.554–0.845)Radiomicsmodel0.924(0.871–0.968)0.869(0.773–0.948)0.940(0.894–0.977)0.902(0.811–0.976)
The ROC curves of the three models in the training (
Decision curve analysis (DCA) for the clinical model, radiomics model and radiomics nomogram. The DCA indicated that more net benefits within the most of threshold probabilities were achieved using the radiomics nomogram