Technical Challenges in the Clinical Application of Radiomics.
Publication/Presentation Date
11-1-2017
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.
Volume
1
First Page
1
Last Page
8
ISSN
2473-4276
Published In/Presented At
Shaikh, F. A., Kolowitz, B. J., Awan, O., Aerts, H. J., von Reden, A., Halabi, S., … Deible, C. (2017). Technical Challenges in the Clinical Application of Radiomics. JCO Clinical Cancer Informatics, 1, 1–8. https://doi.org/10.1200/CCI.17.00004.
Disciplines
Diagnosis | Medicine and Health Sciences | Other Analytical, Diagnostic and Therapeutic Techniques and Equipment | Radiology
PubMedID
30657374
Department(s)
Department of Radiology and Diagnostic Medical Imaging
Document Type
Article