Khene ZE, et al. - In patients with small renal tumors treated with robot-assisted partial nephrectomy, authors examined the performance of computed tomography (CT) texture analysis to predict the presence of adherent perinephric fat (APF). During this study, 15 image features were extracted from unenhanced CT and contrast-enhanced CT corresponding to first-order and second-order Haralick textural features. Findings disclosed entropy, sum entropy and difference entropy as significant independent predictors of APF. Yielded results depicted that CT texture analysis could be a promising quantitative imaging tool that aided urologist to determine APF.