Radiogenomics in Colorectal Cancer

Cancers

Mathieu Hatt¹  Florent Tixier¹  Dimitris Visvikis¹  Catherine Cheze Le Rest¹  Bogdan Badic¹ 

[1] National Institute of Health and Medical Research, LaTIM-Laboratory of Medical Information Processing (INSERM LaTIM), UMR 1101, Université Bretagne Occidentale, 29238 Brest, France;

关键词: radiogenomics;    machine learning;    deep learning;    oncologic imaging;    genomics;   

DOI  :  10.3390/cancers13050973

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown