PT  - JOURNAL ARTICLE
AU  - N. Soni
AU  - S. Priya
AU  - G. Bathla
TI  - Texture Analysis in Cerebral Gliomas: A Review of the Literature
AID  - 10.3174/ajnr.A6075
DP  - 2019 May 23
TA  - American Journal of Neuroradiology
4099  - http://www.ajnr.org/content/early/2019/05/23/ajnr.A6075.short
4100  - http://www.ajnr.org/content/early/2019/05/23/ajnr.A6075.full
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