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Published on: April 25, 2012
Technical Challenges in the Clinical Application of Radiomics
Faiq A Shaikh1, Brian J Kolowitz1, Omer Awan1
1Faiq A. Shaikh, Brian J. Kolowitz, Anna von Reden, Rasu B. Shrestha, and Christopher Deible, University of Pittsburgh Medical Center Enterprises, Pittsburgh; Omer Awan, Temple University, Philadelphia, PA; Hugo J. Aerts, Dana-Farber Cancer Institute, Boston, MA; Safwan Halabi, Stanford University, Stanford, CA; Sohaib A. Mohiuddin, University of Miami, Miami, FL; and Sana Malik, University of Chicago, Chicago, IL.
Abstract:
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.
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