RT Journal Article
SR Electronic
T1 Texture Analysis in Cerebral Gliomas: A Review of the Literature
JF American Journal of Neuroradiology
JO Am. J. Neuroradiol.
FD American Society of Neuroradiology
DO 10.3174/ajnr.A6075
A1 N. Soni
A1 S. Priya
A1 G. Bathla
YR 2019
UL http://www.ajnr.org/content/early/2019/05/23/ajnr.A6075.abstract
AB SUMMARY: Texture analysis is a continuously evolving, noninvasive radiomics technique to quantify macroscopic tissue heterogeneity indirectly linked to microscopic tissue heterogeneity beyond human visual perception. In recent years, systemic oncologic applications of texture analysis have been increasingly explored. Here we discuss the basic concepts and methodologies of texture analysis, along with a review of various MR imaging texture analysis applications in glioma imaging. We also discuss MR imaging texture analysis limitations and the technical challenges that impede its widespread clinical implementation. With continued advancement in computational processing, MR imaging texture analysis could potentially develop into a valuable clinical tool in routine oncologic imaging.AUCarea under the curveCEcontrast-enhancedGLCMgray-level co-occurrence matrixGLRLMgray-level run-length matrixHGGhigh-grade gliomaIDHisocitrate dehydrogenaseIDMinverse difference momentLGGlow-grade gliomaMRTAMR imaging texture analysisPCNSLprimary central nervous system lymphomaPCAprincipal component analysisSVMsupport vector machineTAtexture analysis