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Review
. 2021 Feb 26;13(5):973.
doi: 10.3390/cancers13050973.

Radiogenomics in Colorectal Cancer

Bogdan Badic  1 , Florent Tixier  1 , Catherine Cheze Le Rest  1   2 , Mathieu Hatt  1 , Dimitris Visvikis  1
Affiliations
Review

Radiogenomics in Colorectal Cancer

Bogdan Badic et al. Cancers (Basel). .

Abstract

The steady improvement of high-throughput technologies greatly facilitates the implementation of personalized precision medicine. Characterization of tumor heterogeneity through image-derived features-radiomics and genetic profile modifications-genomics, is a rapidly evolving field known as radiogenomics. Various radiogenomics studies have been dedicated to colorectal cancer so far, highlighting the potential of these approaches to enhance clinical decision-making. In this review, a general outline of colorectal radiogenomics literature is provided, discussing the current limitations and suggested further developments.

Keywords: deep learning; genomics; machine learning; oncologic imaging; radiogenomics.

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Conflict of interest statement

The authors declare no conflict of interest.

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