Computed Tomography Radiomics for Predicting Pathological Grade of Renal Cell Carcinoma

Abstract

We developed a machine learning radiomic model achieving a satisfying performance in differentiating the low-grade from the high-grade ccRCC. Our study presented a potentially useful non-invasive imaging-focused method to predict the pathological grade of renal cancers prior to surgery.