Parallel comparison and combining effect of radiomic and emerging genomic data for prognostic stratification of non-small cell lung carcinoma patients.

Ki Hwan KimJinho KimHyunjin ParkHankyul KimSeung-Hak LeeInsuk SohnHo Yun LeeWoong-Yang Park

Published in: Thoracic cancer (2020)

The combination of selected radiomic and genomic features improved stratification of NSCLC patients upon survival. Thus, integrating a clinicopathological model with radiomic and genomic features may lead to improved prognostic accuracy compared to conventional clinicopathological data alone.

Keyphrases

end stage renal disease
ejection fraction
newly diagnosed
chronic kidney disease
small cell lung cancer
copy number
stem cells
machine learning
single cell
dna methylation
genome wide
artificial intelligence
data analysis
epidermal growth factor receptor
advanced non small cell lung cancer
tyrosine kinase