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Radiomic Profiling of Tumor Thrombus for Predicting Recurrence in Renal Cell Carcinoma
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DOI：10.1016/j.euros.2025.06.005.png)
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Abstract
En 中文
Clear cell renal cell carcinoma (ccRCC) with tumor thrombus (TT) presents a significant prognostic challenge due to its high recurrence risk. Radiomics, an imaging-based biomarker approach, has primarily focused on the primary tumor, while the prognostic potential of TT radiomics remains largely unexplored. This study aimed to assess the added value of tumor thrombus radiomic signatures (RSs) in predicting recurrence in ccRCC patients with TT.
Keywords:
Kidney cancer
Renal cell carcinoma
Radiomics
Tumor thrombus
Machine learning
Survival
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