Radiogenomics: bridging imaging and genomics

• Published in: Abdominal imaging Vol. 44; no. 6; pp. 1960 - 1984
• Main Authors: Bodalal, Zuhir, Trebeschi, Stefano, Nguyen-Kim, Thi Dan Linh, Schats, Winnie, Beets-Tan, Regina
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.06.2019; Springer Nature B.V
• Subjects: Biological evolution; Brain cancer; Breast cancer; CME articles; Colorectal cancer; Gastroenterology; Hepatology; Image processing; Imaging; Kidney cancer; Liver cancer; Medicine; Medicine & Public Health; Mutation; Phenotypes; Prostate cancer; Radiology; Radiomics; Special Section: Radiogenomics; Tumors; Genomics; Prostate neoplasms; Brain neoplasms; Quantitative imaging; Breast neoplasms; Colorectal neoplasms; Radiogenomics; Liver neoplasms; Radiomics; Lung neoplasms; Kidney neoplasms
• ISSN: 2366-004X; 2366-0058; 2366-0058
• DOI: 10.1007/s00261-019-02028-w

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.