Computed Tomography Radiomics for Predicting Pathological Grade of Renal Cell Carcinoma

Computed Tomography Radiomics for Predicting Pathological Grade of Renal Cell Carcinoma

BackgroundClear cell renal cell carcinoma (ccRCC) is the most common renal cancer and it has the worst prognosis among all renal cancers. However, traditional radiological characteristics on computed tomography (CT) scans of ccRCC have been insufficient to predict the pathological grade of ccRCC bef...

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Bibliographic Details
Main Authors: Xiaoping Yi, Qiao Xiao, Feiyue Zeng, Hongling Yin, Zan Li, Cheng Qian, Cikui Wang, Guangwu Lei, Qingsong Xu, Chuanquan Li, Minghao Li, Guanghui Gong, Chishing Zee, Xiao Guan, Longfei Liu, Bihong T. Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Oncology
Subjects:
radiomics
clear cell renal cell carcinoma
computed tomography (CT)
machine learning
predictive modeling
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2020.570396/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2020.570396/full

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