Literature DB >> 19924726

Reproducibility of tract-specific magnetization transfer and diffusion tensor imaging in the cervical spinal cord at 3 tesla.

Seth A Smith1, Craig K Jones, Aliya Gifford, Visar Belegu, BettyAnn Chodkowski, Jonathan A D Farrell, Bennett A Landman, Daniel S Reich, Peter A Calabresi, John W McDonald, Peter C M van Zijl.   

Abstract

Damage to specific white matter tracts within the spinal cord can often result in the particular neurological syndromes that characterize myelopathies such as traumatic spinal cord injury. Noninvasive visualization of these tracts with imaging techniques that are sensitive to microstructural integrity is an important clinical goal. Diffusion tensor imaging (DTI)- and magnetization transfer (MT)-derived quantities have shown promise in assessing tissue health in the central nervous system. In this paper, we demonstrate that DTI of the cervical spinal cord can reliably discriminate sensory (dorsal) and motor (lateral) columns. From data derived from nine healthy volunteers, two raters quantified column-specific parallel (lambda(||)) and perpendicular (lambda(perpendicular)) diffusivity, fractional anisotropy (FA), mean diffusivity (MD), and MT-weighted signal intensity relative to cerebrospinal fluid (MTCSF) over two time-points separated by more than 1 week. Cross-sectional means and standard deviations of these measures in the lateral and dorsal columns were as follows: lambda(||): 2.13 +/- 0.14 and 2.14 +/- 0.11 microm(2)/ms; lambda(perpendicular): 0.67 +/- 0.16 and 0.61 +/- 0.09 microm(2)/ms; MD: 1.15 +/- 0.15 and 1.12 +/- 0.08 microm(2)/ms; FA: 0.68 +/- 0.06 and 0.68 +/- 0.05; MTCSF: 0.52 +/- 0.05 and 0.50 +/- 0.05. We examined the variability and interrater and test-retest reliability for each metric. These column-specific MR measurements are expected to enhance understanding of the intimate structure-function relationship in the cervical spinal cord and may be useful for the assessment of disease progression. (c) 2009 John Wiley & Sons, Ltd.

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Year:  2010        PMID: 19924726      PMCID: PMC2830283          DOI: 10.1002/nbm.1447

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  34 in total

1.  Quantitative characterization of the corticospinal tract at 3T.

Authors:  D S Reich; S A Smith; C K Jones; K M Zackowski; P C van Zijl; P A Calabresi; S Mori
Journal:  AJNR Am J Neuroradiol       Date:  2006 Nov-Dec       Impact factor: 3.825

2.  Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T.

Authors:  Bennett A Landman; Jonathan A D Farrell; Craig K Jones; Seth A Smith; Jerry L Prince; Susumu Mori
Journal:  Neuroimage       Date:  2007-04-04       Impact factor: 6.556

3.  Multiparametric magnetic resonance imaging analysis of the corticospinal tract in multiple sclerosis.

Authors:  Daniel S Reich; Seth A Smith; Kathleen M Zackowski; Eliza M Gordon-Lipkin; Craig K Jones; Jonathan A D Farrell; Susumu Mori; Peter C M van Zijl; Peter A Calabresi
Journal:  Neuroimage       Date:  2007-08-15       Impact factor: 6.556

Review 4.  Diffusion tensor magnetic resonance imaging and fiber tracking in spinal cord lesions: current and future indications.

Authors:  Denis Ducreux; Pierre Fillard; David Facon; Augustin Ozanne; Jean-François Lepeintre; Jerome Renoux; Marc Tadié; Pierre Lasjaunias
Journal:  Neuroimaging Clin N Am       Date:  2007-02       Impact factor: 2.264

5.  Effects of signal-to-noise ratio on the accuracy and reproducibility of diffusion tensor imaging-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5 T.

Authors:  Jonathan A D Farrell; Bennett A Landman; Craig K Jones; Seth A Smith; Jerry L Prince; Peter C M van Zijl; Susumu Mori
Journal:  J Magn Reson Imaging       Date:  2007-09       Impact factor: 4.813

6.  Diffusion tensor imaging at low SNR: nonmonotonic behaviors of tensor contrasts.

Authors:  Bennett A Landman; Jonathan A D Farrell; Hao Huang; Jerry L Prince; Susumu Mori
Journal:  Magn Reson Imaging       Date:  2008-05-21       Impact factor: 2.546

Review 7.  MRI in multiple sclerosis: what's inside the toolbox?

Authors:  Mohit Neema; James Stankiewicz; Ashish Arora; Zachary D Guss; Rohit Bakshi
Journal:  Neurotherapeutics       Date:  2007-10       Impact factor: 7.620

8.  High b-value q-space diffusion-weighted MRI of the human cervical spinal cord in vivo: feasibility and application to multiple sclerosis.

Authors:  Jonathan A D Farrell; Seth A Smith; Eliza M Gordon-Lipkin; Daniel S Reich; Peter A Calabresi; Peter C M van Zijl
Journal:  Magn Reson Med       Date:  2008-05       Impact factor: 4.668

Review 9.  Magnetization transfer magnetic resonance imaging of the brain, spinal cord, and optic nerve.

Authors:  Massimo Filippi; Maria A Rocca
Journal:  Neurotherapeutics       Date:  2007-07       Impact factor: 7.620

10.  MR diffusion tensor imaging and fiber tracking in spinal cord arteriovenous malformations: a preliminary study.

Authors:  A Ozanne; T Krings; D Facon; P Fillard; J L Dumas; H Alvarez; D Ducreux; P Lasjaunias
Journal:  AJNR Am J Neuroradiol       Date:  2007-08       Impact factor: 3.825

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  29 in total

1.  Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view.

Authors:  Min Chen; Aaron Carass; Jiwon Oh; Govind Nair; Dzung L Pham; Daniel S Reich; Jerry L Prince
Journal:  Neuroimage       Date:  2013-08-06       Impact factor: 6.556

2.  Five-year longitudinal changes in quantitative spinal cord MRI in multiple sclerosis.

Authors:  Jiwon Oh; Min Chen; Kateryna Cybulsky; Suradech Suthiphosuwan; Estelle Seyman; Blake Dewey; Marie Diener-West; Peter van Zijl; Jerry Prince; Daniel S Reich; Peter A Calabresi
Journal:  Mult Scler       Date:  2020-06-01       Impact factor: 6.312

3.  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

4.  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

5.  A Novel MRI Biomarker of Spinal Cord White Matter Injury: T2*-Weighted White Matter to Gray Matter Signal Intensity Ratio.

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

6.  Quantification of DTI in the Pediatric Spinal Cord: Application to Clinical Evaluation in a Healthy Patient Population.

Authors:  B B Reynolds; S By; Q R Weinberg; A A Witt; A T Newton; H R Feiler; B Ramkorun; D B Clayton; P Couture; J E Martus; M Adams; J C Wellons; S A Smith; A Bhatia
Journal:  AJNR Am J Neuroradiol       Date:  2019-06-13       Impact factor: 3.825

7.  Spinal cord quantitative MRI discriminates between disability levels in multiple sclerosis.

Authors:  Jiwon Oh; Shiv Saidha; Min Chen; Seth A Smith; Jerry Prince; Craig Jones; Marie Diener-West; Peter C M van Zijl; Daniel S Reich; Peter A Calabresi
Journal:  Neurology       Date:  2013-01-16       Impact factor: 9.910

8.  Groupwise multi-atlas segmentation of the spinal cord's internal structure.

Authors:  Andrew J Asman; Frederick W Bryan; Seth A Smith; Daniel S Reich; Bennett A Landman
Journal:  Med Image Anal       Date:  2014-02-05       Impact factor: 8.545

9.  Axial 3D gradient-echo imaging for improved multiple sclerosis lesion detection in the cervical spinal cord at 3T.

Authors:  Arzu Ozturk; Nafi Aygun; Seth A Smith; Brian Caffo; Peter A Calabresi; Daniel S Reich
Journal:  Neuroradiology       Date:  2012-12-04       Impact factor: 2.804

Review 10.  The current state-of-the-art of spinal cord imaging: methods.

Authors:  P W Stroman; C Wheeler-Kingshott; M Bacon; J M Schwab; R Bosma; J Brooks; D Cadotte; T Carlstedt; O Ciccarelli; J Cohen-Adad; A Curt; N Evangelou; M G Fehlings; M Filippi; B J Kelley; S Kollias; A Mackay; C A Porro; S Smith; S M Strittmatter; P Summers; I Tracey
Journal:  Neuroimage       Date:  2013-05-14       Impact factor: 6.556

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