Quantification and visualization of lipid landscape in glioma using in -and opposed-phase imaging

NeuroImage. Clinical
Pohchoo SeowNorlisah Ramli

Abstract

This study maps the lipid distributions based on magnetic resonance imaging (MRI) in-and opposed-phase (IOP) sequence and correlates the findings generated from lipid map to histological grading of glioma. Forty histologically proven glioma patients underwent a standard MRI tumour protocol with the addition of IOP sequence. The regions of tumour (solid enhancing, solid non-enhancing, and cystic regions) were delineated using snake model (ITK-SNAP) with reference to structural and diffusion MRI images. The lipid distribution map was constructed based on signal loss ratio (SLR) obtained from the IOP imaging. The mean SLR values of the regions were computed and compared across the different glioma grades. The solid enhancing region of glioma had the highest SLR for both Grade II and III. The mean SLR of solid non-enhancing region of tumour demonstrated statistically significant difference between the WHO grades (grades II, III & IV) (mean SLRII = 0.04, mean SLRIII = 0.06, mean SLRIV = 0.08, & p < .01). A strong positive correlation was seen between WHO grades with mean SLR on lipid map of solid non-enhancing (ρ=0.68, p < .01). Lipid quantification via lipid map provides useful information on lipid landscape in tumour heterogeneity...Continue Reading

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Methods Mentioned

BETA
biopsy

Software Mentioned

MATLAB
SPM12 Parametric
SNAP
IDEAL
ITK
FSL ( FMRIB

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