RT Journal Article
SR Electronic
T1 Imaging Genomics of Glioma Revisited: Analytic Methods to Understand Spatial and Temporal Heterogeneity
JF American Journal of Neuroradiology
JO Am. J. Neuroradiol.
FD American Society of Neuroradiology
DO 10.3174/ajnr.A8148
A1 Kersch, Cymon N.
A1 Kim, Minjae
A1 Stoller, Jared
A1 Barajas, Ramon F.
A1 Park, Ji Eun
YR 2024
UL http://www.ajnr.org/content/early/2024/03/28/ajnr.A8148.abstract
AB 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 IDH-mutation, MGMT methylation, and EGFR-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.AIartificial intelligenceCEcontrast-enhancedDCEdynamic contrast-enhancementDMGdiffuse midline gliomaH3K27-DMGhistone H3 lysine 27-altered diffuse midline gliomaH3K27me3H3 lysine 27 trimethylationIVIMintravoxel incoherent motionLASSOleast absolute shrinkage and selection operatorPCAprincipal component analysisrCBVrelative CBVTERTtelomerase reverse transcriptaseTMEtumor microenvironmentWHOWorld Health Organization