Radiogenomics: bridging imaging and genomics

被引：197
作者：
Bodalal, Zuhir [1 ,2 ]
Trebeschi, Stefano [1 ,2 ]
Nguyen-Kim, Thi Dan Linh [1 ,2 ,3 ]
Schats, Winnie [4 ]
Beets-Tan, Regina [1 ,2 ]
机构：
[1] Netherlands Canc Inst, Dept Radiol, Amsterdam, Netherlands
[2] Maastricht Univ, Grow Sch Oncol & Dev Biol, Maastricht, Netherlands
[3] Univ Hosp Zurich, Inst Diagnost & Intervent Radiol, Zurich, Switzerland
[4] Netherlands Canc Inst, Sci Informat Serv, Amsterdam, Netherlands
来源：
ABDOMINAL RADIOLOGY | 2019年 / 44卷 / 06期
关键词：
Radiomics; Quantitative imaging; Radiogenomics; Genomics; Brain neoplasms; Lung neoplasms; Breast neoplasms; Kidney neoplasms; Liver neoplasms; Colorectal neoplasms; Prostate neoplasms; CELL LUNG-CANCER; FACTOR RECEPTOR MUTATION; APPARENT DIFFUSION-COEFFICIENT; QUANTITATIVE TEXTURE ANALYSIS; GENE-EXPRESSION PROGRAMS; PET RADIOMIC FEATURES; LOWER-GRADE GLIOMAS; BREAST-CANCER; MICROVASCULAR INVASION; HEPATOCELLULAR-CARCINOMA;
D O I：
10.1007/s00261-019-02028-w
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
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.
引用
收藏
页码：1960 / 1984
页数：25
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