Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands.
Abdom Radiol (NY). 2019 Jun;44(6):1960-1984. 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.
从诊断到预后再到反应预测,放射组学的新应用正在迅速发展。其中发展最快的一个分支涉及将影像学表型与肿瘤基因谱联系起来,这一领域通常被称为“放射基因组学”。在这篇综述中,将提供有关不同肿瘤部位突出突变的放射基因组学文献的概述。放射基因组学领域源于几十年前开发的图像处理技术;然而,仍有许多技术和临床挑战需要解决。尽管如此,越来越准确和稳健的放射基因组学模型正在被提出,未来似乎一片光明。