Predictive value of computed tomography radiomics combined with traditional imaging features in WHO/ISUP grading of clear cell renal carcinoma

Abstract

AbstractThe aim of the study is to investigate the preoperative prediction value of computed tomography (CT) radiomics combined with traditional imaging features in the grading of clear cell renal cell carcinoma (CCRCC) by extracting and analyzing the CT radiomics information of patients with CCRCC. One hundred thirty four patients with CCRCC who were admitted to our Hospital, Sun Yat‐sen University (Futian, Shenzhen), between June 2019 and June 2023 were enrolled in this study. According to the WHO/ISUP classification standard, the patients were divided into the high differentiation group (III + IV) and the low differentiation group (I + II); they were divided into the study group and the validation group, with a ratio of 7:3 and the best features of the validation group were screened to construct the radiomics model. There were significant differences in the radiomics scores between the high differentiation group and the low differentiation group of CCRCC (p < 0.05). Computed tomography radiomics combined with traditional imaging features has favourable effects on predicting the differentiation degree of CCRCC before surgery.