Technical Challenges in the Clinical Application of Radiomics

Radiomics is a quantitative approach to medical image analysis targeted at deciphering the morphologic and functional features of a lesion. Radiomic methods can be applied across various malignant conditions to identify tumor phenotype characteristics in the images that correlate with their likeliho...

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Published inJCO clinical cancer informatics Vol. 1; no. 1; p. 1
Main Authors Shaikh, Faiq A, Kolowitz, Brian J, Awan, Omer, Aerts, Hugo J, von Reden, Anna, Halabi, Safwan, Mohiuddin, Sohaib A, Malik, Sana, Shrestha, Rasu B, Deible, Christopher
Format Journal Article
LanguageEnglish
Published United States 01.11.2017
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Summary:Radiomics is a quantitative approach to medical image analysis targeted at deciphering the morphologic and functional features of a lesion. Radiomic methods can be applied across various malignant conditions to identify tumor phenotype characteristics in the images that correlate with their likelihood of survival, as well as their association with the underlying biology. Identifying this set of characteristic features, called tumor signature, holds tremendous value in predicting the behavior and progression of cancer, which in turn has the potential to predict its response to various therapeutic options. We discuss the technical challenges encountered in the application of radiomics, in terms of methodology, workflow integration, and user experience, that need to be addressed to harness its true potential.
ISSN:2473-4276
DOI:10.1200/CCI.17.00004