VHL and nonpapillary renal cell carcinoma: Li et al. [14] selected eight most relevant corticomedullary phase (CMP) texture features to build the machine learning (ML) model for differentiating ccRCC and non-ccRCC, which had an accuracy of 92.5% and an AUC of 0.95, moreover, they investigated the association between imaging features and VHL gene mutations.