Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Austria.
J Magn Reson Imaging. 2018 Mar;47(3):604-620. doi: 10.1002/jmri.25870. Epub 2017 Nov 2.
With the genomic revolution in the early 1990s, medical research has been driven to study the basis of human disease on a genomic level and to devise precise cancer therapies tailored to the specific genetic makeup of a tumor. To match novel therapeutic concepts conceived in the era of precision medicine, diagnostic tests must be equally sufficient, multilayered, and complex to identify the relevant genetic alterations that render cancers susceptible to treatment. With significant advances in training and medical imaging techniques, image analysis and the development of high-throughput methods to extract and correlate multiple imaging parameters with genomic data, a new direction in medical research has emerged. This novel approach has been termed radiogenomics. Radiogenomics aims to correlate imaging characteristics (ie, the imaging phenotype) with gene expression patterns, gene mutations, and other genome-related characteristics and is designed to facilitate a deeper understanding of tumor biology and capture the intrinsic tumor heterogeneity. Ultimately, the goal of radiogenomics is to develop imaging biomarkers for outcome that incorporate both phenotypic and genotypic metrics. Due to the noninvasive nature of medical imaging and its ubiquitous use in clinical practice, the field of radiogenomics is rapidly evolving and initial results are encouraging. In this article, we briefly discuss the background and then summarize the current role and the potential of radiogenomics in brain, liver, prostate, gynecological, and breast tumors.
5 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2017;47:604-620.
随着 20 世纪 90 年代基因组学革命的兴起,医学研究一直致力于在基因组水平上研究人类疾病的基础,并设计针对肿瘤特定遗传构成的精确癌症疗法。为了匹配精准医学时代构思的新型治疗概念,诊断测试必须同样充分、多层次且复杂,以识别使癌症对治疗敏感的相关遗传改变。随着培训和医学成像技术的重大进步,图像分析和开发高通量方法以提取和关联多个成像参数与基因组数据的技术已经出现,医学研究出现了一个新方向。这种新方法被称为放射组学。放射组学旨在将成像特征(即成像表型)与基因表达模式、基因突变和其他与基因组相关的特征相关联,并旨在促进对肿瘤生物学的更深入了解和捕获内在的肿瘤异质性。最终,放射组学的目标是开发包含表型和基因型指标的成像生物标志物来预测结果。由于医学成像的非侵入性及其在临床实践中的广泛应用,放射组学领域正在迅速发展,初步结果令人鼓舞。在本文中,我们简要讨论了背景,然后总结了放射组学在脑、肝、前列腺、妇科和乳腺肿瘤中的当前作用和潜力。
5 技术功效:2 级 J. 磁共振成像 2017;47:604-620.