The predictive value of radiomics and deep learning for synchronous distant metastasis in clear cell renal cell carcinoma
Abstract Objective The objective of this research was to devise and authenticate a predictive model that employs CT radiomics and deep learning methodologies for the accurate prediction of synchronous distant metastasis (SDM) in clear cell renal cell carcinoma (ccRCC).Methods A total of 143 ccRCC patients were included in the training cohort, and 6