Machine learning-based CT radiomics approach for predicting WHO/ISUP nuclear grade of clear cell renal cell carcinoma: an exploratory and comparative study.
Yingjie XvFajin LvHaoming GuoXiang ZhouHao TanMingzhao XiaoYineng ZhengPublished in: Insights into imaging (2021)
A combined model incorporating the radiomics features and clinicoradiological characteristics can better predict the WHO/ISUP nuclear grade of CCRCC preoperatively, thus providing effective and noninvasive assessment.