Development and Validation of a Radiomic Nomogram for Predicting the Prognosis of Kidney Renal Clear Cell Carcinoma

Development and Validation of a Radiomic Nomogram for Predicting the Prognosis of Kidney Renal Clear Cell Carcinoma

PurposeThe present study aims to comprehensively investigate the prognostic value of a radiomic nomogram that integrates contrast-enhanced computed tomography (CECT) radiomic signature and clinicopathological parameters in kidney renal clear cell carcinoma (KIRC).MethodsA total of 136 and 78 KIRC pa...

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Bibliographic Details
Main Authors: Ruizhi Gao, Hui Qin, Peng Lin, Chenjun Ma, Chengyang Li, Rong Wen, Jing Huang, Da Wan, Dongyue Wen, Yiqiong Liang, Jiang Huang, Xin Li, Xinrong Wang, Gang Chen, Yun He, Hong Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Oncology
Subjects:
contrast-enhanced computed tomography
artificial intelligence
kidney renal clear cell carcinoma
prognosis
weighted correlation network analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.613668/full

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https://www.frontiersin.org/articles/10.3389/fonc.2021.613668/full

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