Uncontrolled Confounders May Lead to False or Overvalued Radiomics Signature: A Proof of Concept Using Survival Analysis in a Multicenter Cohort of Kidney Cancer

Uncontrolled Confounders May Lead to False or Overvalued Radiomics Signature: A Proof of Concept Using Survival Analysis in a Multicenter Cohort of Kidney Cancer

PurposeWe aimed to explore potential confounders of prognostic radiomics signature predicting survival outcomes in clear cell renal cell carcinoma (ccRCC) patients and demonstrate how to control for them.Materials and MethodsPreoperative contrast enhanced abdominal CT scan of ccRCC patients along wi...

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Bibliographic Details
Main Authors: Lin Lu, Firas S. Ahmed, Oguz Akin, Lyndon Luk, Xiaotao Guo, Hao Yang, Jin Yoon, A. Aari Hakimi, Lawrence H. Schwartz, Binsheng Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Oncology
Subjects:
radiomics
quality control
machine learning
TCGA
The Cancer Imaging Archive (TCIA)
clear cell renal cell cancer
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.638185/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.638185/full

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