New radiomics model to predict the Leibovich risk groups for ccRCC patients

This study developed and validated a triphasic CT-based radiomics model, which incorporated radiomics features and significant clinical factors, for preoperative risk stratification of patients with localized clear cell renal cell carcinoma (ccRCC). The model showed a favorable performance in preoperatively predicting the Leibovich low-risk and intermediate-high-risk groups in localized ccRCC patients. The authors determined that this model can be used as a non-invasive tool to facilitate clinical decision-making and to monitor disease progression. Key points The triphasic CT-based radiomics signature achieves better performance than the single-phase radiomics signature. Radiomics holds prospects in preoperatively predicting the Leibovich risk groups for ccRCC. This study provides a non-invasive method to stratify patients with localized ccRCC. Article: Validity of a multiphase CT-based radiomics model in predicting the Leibovich risk groups for localized clear cell renal cell carcinoma: an exploratory study Authors: Huayun Liu, Zongjie Wei, Yingjie Xv, Hao Tan, Fangtong Liao, Fajin Lv, Qing Jiang, Tao Chen & Mingzhao Xiao