Radiomics as a personalized medicine tool in lung cancer: Separating the hope from the hype.

ABSTRACT: Radiomics has become a popular image analysis method in the last few years. Its key hypothesis is that medical images harbor biological, prognostic and predictive information that is not revealed upon visual inspection. In contrast to previous work with a priori defined imaging biomarkers, radiomics instead calculates image features at scale and uses statistical methods to identify those most strongly associated to outcome. This builds on years of research into computer aided diagnosis and pattern recognition. While the potential of radiomics to aid personalized medicine is widely recognized, several technical limitations exist which hinder biomarker translation. Aspects of the radiomic workflow lack repeatability or reproducibility under particular circumstances, which is a key requiremen

SUBMITTER: Fornacon-Wood I 

PROVIDER: S-EPMC7383235 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature