TY - JOUR
T1 - Imaging Genomics of Glioma Revisited
T2 - Analytic Methods to Understand Spatial and Temporal Heterogeneity
AU - Kersch, Cymon N.
AU - Kim, Minjae
AU - Stoller, Jared
AU - Barajas, Ramon F.
AU - Park, Ji Eun
N1 - Publisher Copyright:
© 2024 American Society of Neuroradiology. All rights reserved.
PY - 2024/5/1
Y1 - 2024/5/1
N2 - 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.
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.
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U2 - 10.3174/ajnr.A8148
DO - 10.3174/ajnr.A8148
M3 - Review article
C2 - 38548303
AN - SCOPUS:85192816299
SN - 0195-6108
VL - 45
SP - 537
EP - 548
JO - American Journal of Neuroradiology
JF - American Journal of Neuroradiology
IS - 5
ER -