Abstract
From diagnostics to prognosis to response prediction, new applications for radiomics are rapidly being developed. One of the fastest evolving branches involves linking imaging phenotypes to the tumor genetic profile, a field commonly referred to as “radiogenomics.” In this review, a general outline of radiogenomic literature concerning prominent mutations across different tumor sites will be provided. The field of radiogenomics originates from image processing techniques developed decades ago; however, many technical and clinical challenges still need to be addressed. Nevertheless, increasingly accurate and robust radiogenomic models are being presented and the future appears to be bright.
Highlights
Medical imaging plays a major role in the clinical decisionmaking process in oncology
This review aims to provide a broad outline of the radiogenomic literature
Alongside semantic and radiomic imaging features, even volumetrics—the analysis of volumes within the tumor compartments—have been associated with PERIOSTIN expression, a gene linked with decreased survival, shorter time to recurrence (p < 0.001), and the mesenchymal glioblastoma multiforme (GBM) subtype (p < 0.0001) [37]
Summary
Medical imaging plays a major role in the clinical decisionmaking process in oncology. That role was limited to diagnosis and staging. In recent years, imaging markers derived from routine clinical images have increasingly been researched to provide insight into the tumor in a non-invasive manner. Imaging features may be either qualitative, sometimes referred to as semantic [1,2,3], where a reader, often an experienced radiologist, will assign a score to certain parameters. CME activity This article has been selected as the CME activity for the current month. Please visit https://ce.mayo.edu/node/83629 and follow the instructions to complete this CME activity.
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