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The radiomics-based tumor heterogeneity adds incremental value to the existing prognostic models for predicting outcome in localized clear cell renal cell carcinoma: a multicenter study

Guangjie Yang, Pei Nie, Lei Yan, Mingxin Zhang, Yang‐Yang Wang, Lianzi Zhao, Mingyao Li, Fei Xie, Haizhu Xie, Xianjun Li, Xiang Fawei, Nan Wang, Nan Cheng, Xia Zhao, Ning Wang, Yicong Wang, Chengcheng Chen, Canhua Yun, Jingjing Cui, Shaofeng Duan, Ran Zhang, Dapeng Hao, Ximing Wang, Zhenguang Wang, Haitao Niu

2022European Journal of Nuclear Medicine and Molecular Imaging52 citationsDOI

Topics & Concepts

RadiomicsRenal cell carcinomaMedicineClear cell renal cell carcinomaOutcome (game theory)Predictive valueOncologyInternal medicineRadiologyMathematicsMathematical economicsRenal cell carcinoma treatmentRadiomics and Machine Learning in Medical ImagingBladder and Urothelial Cancer Treatments
The radiomics-based tumor heterogeneity adds incremental value to the existing prognostic models for predicting outcome in localized clear cell renal cell carcinoma: a multicenter study | Litcius