Literature DB >> 21232610

Demyelination and degeneration in the injured human spinal cord detected with diffusion and magnetization transfer MRI.

J Cohen-Adad1, M-M El Mendili, S Lehéricy, P-F Pradat, S Blancho, S Rossignol, H Benali.   

Abstract

Characterizing demyelination/degeneration of spinal pathways in traumatic spinal cord injured (SCI) patients is crucial for assessing the prognosis of functional rehabilitation. Novel techniques based on diffusion-weighted (DW) magnetic resonance imaging (MRI) and magnetization transfer (MT) imaging provide sensitive and specific markers of white matter pathology. In this paper we combined for the first time high angular resolution diffusion-weighted imaging (HARDI), MT imaging and atrophy measurements to evaluate the cervical spinal cord of fourteen SCI patients and age-matched controls. We used high in-plane resolution to delineate dorsal and ventrolateral pathways. Significant differences were detected between patients and controls in the normal-appearing white matter for fractional anisotropy (FA, p<0.0001), axial diffusivity (p<0.05), radial diffusivity (p<0.05), generalized fractional anisotropy (GFA, p<0.0001), magnetization transfer ratio (MTR, p<0.0001) and cord area (p<0.05). No significant difference was detected in mean diffusivity (p=0.41), T1-weighted (p=0.76) and T2-weighted (p=0.09) signals. MRI metrics were remarkably well correlated with clinical disability (Pearson's correlations, FA: p<0.01, GFA: p<0.01, radial diffusivity: p=0.01, MTR: p=0.04 and atrophy: p<0.01). Stepwise linear regressions showed that measures of MTR in the dorsal spinal cord predicted the sensory disability whereas measures of MTR in the ventro-lateral spinal cord predicted the motor disability (ASIA score). However, diffusion metrics were not specific to the sensorimotor scores. Due to the specificity of axial and radial diffusivity and MT measurements, results suggest the detection of demyelination and degeneration in SCI patients. Combining HARDI with MT imaging is a promising approach to gain specificity in characterizing spinal cord pathways in traumatic injury.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21232610     DOI: 10.1016/j.neuroimage.2010.11.089

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  87 in total

Review 1.  Advancing imaging technologies for patients with spinal pain: with a focus on whiplash injury.

Authors:  James M Elliott; Mark J Hancock; Rebecca J Crawford; Andrew C Smith; David M Walton
Journal:  Spine J       Date:  2017-07-31       Impact factor: 4.166

2.  Construction of an in vivo human spinal cord atlas based on high-resolution MR images at cervical and thoracic levels: preliminary results.

Authors:  Manuel Taso; Arnaud Le Troter; Michaël Sdika; Jean-Philippe Ranjeva; Maxime Guye; Monique Bernard; Virginie Callot
Journal:  MAGMA       Date:  2013-09-20       Impact factor: 2.310

3.  Potential associations between chronic whiplash and incomplete spinal cord injury.

Authors:  Andrew C Smith; Todd B Parrish; Mark A Hoggarth; Jacob G McPherson; Vicki M Tysseling; Marie Wasielewski; Hyosub E Kim; T George Hornby; James M Elliott
Journal:  Spinal Cord Ser Cases       Date:  2015-10-08

4.  Clinically Feasible Microstructural MRI to Quantify Cervical Spinal Cord Tissue Injury Using DTI, MT, and T2*-Weighted Imaging: Assessment of Normative Data and Reliability.

Authors:  A R Martin; B De Leener; J Cohen-Adad; D W Cadotte; S Kalsi-Ryan; S F Lange; L Tetreault; A Nouri; A Crawley; D J Mikulis; H Ginsberg; M G Fehlings
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-20       Impact factor: 3.825

5.  Analysis of the diffusion tensor imaging parameters of a normal cervical spinal cord in a healthy population.

Authors:  Liang-Feng Wei; Shou-Sen Wang; Zhao-Cong Zheng; Jun Tian; Liang Xue
Journal:  J Spinal Cord Med       Date:  2016-11-04       Impact factor: 1.985

Review 6.  Translational spinal cord injury research: preclinical guidelines and challenges.

Authors:  Paul J Reier; Michael A Lane; Edward D Hall; Y D Teng; Dena R Howland
Journal:  Handb Clin Neurol       Date:  2012

7.  Advancements in Imaging Technology: Do They (or Will They) Equate to Advancements in Our Knowledge of Recovery in Whiplash?

Authors:  James M Elliott; Sudarshan Dayanidhi; Charles Hazle; Mark A Hoggarth; Jacob McPherson; Cheryl L Sparks; Kenneth A Weber
Journal:  J Orthop Sports Phys Ther       Date:  2016-10       Impact factor: 4.751

8.  g-Ratio weighted imaging of the human spinal cord in vivo.

Authors:  T Duval; S Le Vy; N Stikov; J Campbell; A Mezer; T Witzel; B Keil; V Smith; L L Wald; E Klawiter; J Cohen-Adad
Journal:  Neuroimage       Date:  2016-09-22       Impact factor: 6.556

9.  Quantifying the impact of underlying measurement error on cervical spinal cord diffusion tensor imaging at 3T.

Authors:  Samantha By; Alex K Smith; Lindsey M Dethrage; Bailey D Lyttle; Bennett A Landman; Jeffrey L Creasy; Siddharama Pawate; Seth A Smith
Journal:  J Magn Reson Imaging       Date:  2016-05-18       Impact factor: 4.813

Review 10.  Imaging techniques in spinal cord injury.

Authors:  Benjamin M Ellingson; Noriko Salamon; Langston T Holly
Journal:  World Neurosurg       Date:  2012-12-12       Impact factor: 2.104

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