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.
Authors: Huayun Liu, Zongjie Wei, Yingjie Xv, Hao Tan, Fangtong Liao, Fajin Lv, Qing Jiang, Tao Chen & Mingzhao Xiao