Probing axons using multi‐compartmental diffusion in multiple sclerosis

Autor: Junzhong Xu, Enrico Kaden, Fei Ye, Amalie Chen, Giulia Franco, Run Fan, Francesca Bagnato, Seth A. Smith, Hua Li, Daniel C. Alexander, Richard D. Dortch
Rok vydání: 2019
Předmět:
Zdroj: Annals of Clinical and Translational Neurology
Annals of Clinical and Translational Neurology, Vol 6, Iss 9, Pp 1595-1605 (2019)
ISSN: 2328-9503
DOI: 10.1002/acn3.50836
Popis: Objects The diffusion‐based spherical mean technique (SMT) provides a novel model to relate multi‐b‐value diffusion magnetic resonance imaging (MRI) data to features of tissue microstructure. We propose the first clinical application of SMT to image the brain of patients with multiple sclerosis (MS) and investigate clinical feasibility and translation. Methods Eighteen MS patients and nine age‐ and sex‐matched healthy controls (HCs) underwent a 3.0 Tesla scan inclusive of clinical sequences and SMT images (isotropic resolution of 2 mm). Axial diffusivity (AD), apparent axonal volume fraction (V ax), and effective neural diffusivity (D ax) parametric maps were fitted. Differences in AD, V ax, and D ax between anatomically matched regions reflecting different tissues types were estimated using generalized linear mixed models for binary outcomes. Results Differences were seen in all SMT‐derived parameters between chronic black holes (cBHs) and T2‐lesions (P ≤ 0.0016), in V ax and AD between T2‐lesions and normal appearing white matter (NAWM) (P
Databáze: OpenAIRE
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