From the Department of Radiation Medicine (C.N.K.), Oregon Health and Science University, Portland, Oregon.
Department of Radiology and Research Institute of Radiology (M.K., J.E.P.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
AJNR Am J Neuroradiol. 2024 May 9;45(5):537-548. doi: 10.3174/ajnr.A8148.
An improved understanding of the cellular and molecular biologic processes responsible for brain tumor development, growth, and resistance to therapy is fundamental to improving clinical outcomes. Imaging genomics is the study of the relationships between microscopic, genetic, and molecular biologic features and macroscopic imaging features. Imaging genomics is beginning to shift clinical paradigms for diagnosing and treating brain tumors. This article provides an overview of imaging genomics in gliomas, in which imaging data including hallmarks such as -mutation, methylation, and -mutation status can provide critical insights into the pretreatment and posttreatment stages. This article will accomplish the following: 1) review the methods used in imaging genomics, including visual analysis, quantitative analysis, and radiomics analysis; 2) recommend suitable analytic methods for imaging genomics according to biologic characteristics; 3) discuss the clinical applicability of imaging genomics; and 4) introduce subregional tumor habitat analysis with the goal of guiding future radiogenetics research endeavors toward translation into critically needed clinical applications.
对导致脑肿瘤发生、发展和对治疗产生抵抗的细胞和分子生物学过程的深入理解，是改善临床结果的基础。影像基因组学是研究微观遗传、分子生物学特征与宏观影像学特征之间关系的学科。影像基因组学开始改变脑肿瘤的临床诊断和治疗模式。本文概述了影像基因组学在神经胶质瘤中的应用，其中影像学数据（包括突变、甲基化和基因融合状态等特征）可为治疗前和治疗后阶段提供重要信息。本文将完成以下目标：1）综述影像基因组学中使用的方法，包括视觉分析、定量分析和放射组学分析；2）根据生物学特征推荐合适的影像基因组学分析方法；3）讨论影像基因组学的临床应用；4）介绍亚区肿瘤生境分析，旨在指导未来的放射遗传学研究工作，使其转化为迫切需要的临床应用。
