4.7 Article

Fast bound pool fraction imaging of the in vivo rat brain: Association with myelin content and validation in the C6 glioma model

Journal

NEUROIMAGE
Volume 54, Issue 3, Pages 2052-2065

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2010.10.065

Keywords

Bound pool fraction; Cross-relaxation imaging; Glioma; Magnetization transfer ratio; Myelin; Quantitative magnetization transfer; Rat brain

Funding

  1. NIH [R2168009908, R21AG029406]

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Cross-relaxation imaging (CRI) is a quantitative magnetic resonance technique that measures the kinetic parameters of magnetization transfer between protons bound to water and protons bound to macromolecules. In this study, in vivo, four-parameter CRI of normal rat brains (N = 5) at 3.0 T was first directly compared to histology. The bound pool fraction, f, was strongly associated with myelin density (Pearson's r = 0.99, p<0.001). The correlation persisted in separate analyses of gray matter (GM: r = 0.89, p = 0.046) and white matter (WM: r = 0.97, p = 0.029). Subsequently, a new time-efficient approach for solely capturing the whole-brain parametric map off was proposed, validated with histology, and used to estimate myelin density. Since the described approach for the rapid acquisition of f applied constraints to other CRI parameters, a theoretical analysis of error was performed. Estimates of f in normal and pathologic tissue were expected to have <10% error. A comparison of values for! obtained from the traditional four-parameter fit of CRI data versus the proposed rapid acquisition off was within this expected margin for in vivo rat brain gliomas (N = 4; mean SE; 3.9 +/- 0.2% vs. 4.0 +/- 0.2%, respectively). In both whole-brain f maps and myelin density maps, replacement of normal GM and WM by proliferating and invading tumor cells could be readily identified. The rapid, whole-brain acquisition of the bound pool fraction may provide a reliable method for detection of glioma invasion in both GM and WM during animal and human imaging. (C) 2010 Elsevier Inc. All rights reserved.

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