Imaging Genomics of Glioma Revisited: Analytic Methods to Understand Spatial and Temporal Heterogeneity.

AJNR Am J Neuroradiol

Department of Radiology and Research Institute of Radiology (M.K., J.E.P.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea

Published: May 2024

AI Article Synopsis

  • * Imaging genomics explores how genetic and molecular features relate to imaging data, potentially transforming brain tumor diagnosis and treatment.
  • * The article reviews imaging genomics methods, recommends analytic techniques, discusses their clinical relevance, and proposes future research directions in tumor habitat analysis.

Article Abstract

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11288537PMC
http://dx.doi.org/10.3174/ajnr.A8148DOI Listing

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