Study on the prediction of postoperative metastasis in renal cancer using perirenal fat CT radiomics combined with clinical features
The combined predictive model developed in this study, integrating preoperative clinical data, PRF, and tumor radiomics features, effectively predicts postoperative metastasis risk in RCC patients. This model provides valuable non-invasive information for preoperative metastasis risk assessment and offers reliable guidance for personalized treatment plans, highlighting the critical role of the tumor microenvironment in RCC progression.
Authors
- Tiantian Zhou (ORCID: https://orcid.org/0000-0003-1172-6096)
- Jiali Xu
- Yichuan Ma
- Cong Zhang
- Jing Zhou
- Yuqiong Yang
Institutions
- Bengbu Medical College (CN)
- First Affiliated Hospital of Bengbu Medical College (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2026-02-18
- DOI
- https://doi.org/10.3389/fonc.2026.1766300
- Primary Topic
- Renal cell carcinoma treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00