Radiogenomics study to predict the nuclear grade of renal clear cell carcinoma.

Xuan-Ming He,Jian-Xin Zhao,Di-Liang He,Jia-Liang Ren,Lian-Ping Zhao, Gang Huang

European journal of radiology open（2023）

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Abstract

The CT radiomics models exhibited higher predictive performance than mRNA models. The association between radiomic features and mRNA related to nuclear grade is not universal.

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Key words

Computer Applications,FDR, False discovery rate,GLRLM, Gray level run length matrix,GLSZM, Gray level size matrix,KEGG, KOBAS-Kyoto Encyclopedia of Genes and Genomes,Kidney,NGTDM, Neighborhood gray tone difference matrix,Neoplasms-Primary,PPI, Protein-Protein Interaction Networks,Pathological nuclear grade,Radiogenomics,Radiomics,TCGA, The cancer genome atlas,TCIA, The cancer imaging archive,WGCNA, Weighted gene co-expression network,WHO/ISUP, World Health Organization and International Society of Urological Pathology,ccRCC, Clear cell renal cell carcinoma

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