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The diagnostic performance of the selected texture features in differentiating the three groups was assessed by receiver operating characteristic (ROC) curve analysis. Results T(2)WI_Perc.50%, SWI_Perc.01%, BOLD_S(4,4)Contrast, and BOLD_S(5,5)Correlat with absolute correlation coefficient of eGFR greater than or equal to 0.3 (P less then 0.05) and also with the highest Z value for Boruta algorithm were selected. The AUC for T(2)WI_Perc.50%, SWI_Perc.01%, and BOLD_S(5,5)Correlat in differentiating the nRAF group with the mRAI group was
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