Literature DB >> 15385682

The spinal cord in multiple sclerosis: relationship of high-spatial-resolution quantitative MR imaging findings to histopathologic results.

Joseph C J Bot1, Erwin L A Blezer, Wouter Kamphorst, Geert J Lycklama A Nijeholt, Herman J Ader, Jonas A Castelijns, Klaas Nicolay Ig, Elisabeth Bergers, Rivka Ravid, Chris Polman, Frederik Barkhof.   

Abstract

PURPOSE: To correlate quantitative magnetic resonance (MR) imaging data (ie, relaxation times and magnetization transfer ratios [MTRs]) with histopathologic findings of demyelination and axonal disease in cervical spinal cord specimens from patients with multiple sclerosis (MS) and control subjects.
MATERIALS AND METHODS: Formaldehyde-fixed cervical spinal cord specimens from 11 patients with MS-three men and eight women (mean age at death, 66 years +/- 11.3 [standard deviation])-and two female control subjects without neurologic disease (83 and 41 years of age at death) were examined at 4.7 T. Relaxation time measurements and MTR mapping were performed. Analyses included the whole cord area and region-of-interest measurements. Histopathologic analyses included semiquantitative myelin and quantitative axonal analysis.
RESULTS: Compared with control specimens (P < .001, analysis of variance), specimens from patients with MS had smaller cord areas (mean area, 59.0 mm(2) +/- 12.5 vs 72.7 mm(2) +/- 10.0), significant prolongation of T1 (mean prolongation, 30%) and T2 (mean prolongation, 13%), and decreased MTRs (mean, 10.5%). Within MS specimens, 58% of the white matter area displayed signal intensity abnormalities on intermediate-weighted MR images. The number of axons in normal-appearing white matter in MS specimens was, on average, 46% lower than the number of axons in white matter in control specimens. All quantitative MR parameters correlated well with demyelination; the correlation with T2 relaxation time was the strongest (r = 0.77, Spearman and Kendall nonparametric correlations). By contrast, quantitative MR parameters correlated less well with axonal density; the correlation with T2 relaxation time was the strongest (r = -0.44, Spearman and Kendall nonparametric correlations). Multilevel analysis, corrected for age and MS phenotype, could not result in a model explaining axonal density on the basis of quantitative MR parameters when myelin density was included as a predictor.
CONCLUSION: Changes in quantitative MR imaging parameters in the cervical spinal cord in MS are mainly determined by demyelination and do not reflect axonal disease well.

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Year:  2004        PMID: 15385682     DOI: 10.1148/radiol.2332031572

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  44 in total

1.  Using diffusion tensor imaging and immunofluorescent assay to evaluate the pathology of multiple sclerosis.

Authors:  Lauren V Zollinger; Tae Ho Kim; Kenneth Hill; Eun K Jeong; John W Rose
Journal:  J Magn Reson Imaging       Date:  2011-03       Impact factor: 4.813

Review 2.  Nonconventional MRI and microstructural cerebral changes in multiple sclerosis.

Authors:  Christian Enzinger; Frederik Barkhof; Olga Ciccarelli; Massimo Filippi; Ludwig Kappos; Maria A Rocca; Stefan Ropele; Àlex Rovira; Torben Schneider; Nicola de Stefano; Hugo Vrenken; Claudia Wheeler-Kingshott; Jens Wuerfel; Franz Fazekas
Journal:  Nat Rev Neurol       Date:  2015-11-03       Impact factor: 42.937

3.  Improved Lesion Detection by Using Axial T2-Weighted MRI with Full Spinal Cord Coverage in Multiple Sclerosis.

Authors:  S Galler; J-P Stellmann; K L Young; D Kutzner; C Heesen; J Fiehler; S Siemonsen
Journal:  AJNR Am J Neuroradiol       Date:  2016-01-07       Impact factor: 3.825

Review 4.  Magnetic resonance imaging of myelin.

Authors:  Cornelia Laule; Irene M Vavasour; Shannon H Kolind; David K B Li; Tony L Traboulsee; G R Wayne Moore; Alex L MacKay
Journal:  Neurotherapeutics       Date:  2007-07       Impact factor: 7.620

5.  Diffusion tensor imaging of ex vivo cervical spinal cord specimens: the immediate and long-term effects of fixation on diffusivity.

Authors:  T H Kim; L Zollinger; X F Shi; J Rose; E-K Jeong
Journal:  Anat Rec (Hoboken)       Date:  2009-02       Impact factor: 2.064

Review 6.  Inferring brain tissue composition and microstructure via MR relaxometry.

Authors:  Mark D Does
Journal:  Neuroimage       Date:  2018-01-02       Impact factor: 6.556

7.  Spinal cord lesions and clinical status in multiple sclerosis: A 1.5 T and 3 T MRI study.

Authors:  J M Stankiewicz; M Neema; D C Alsop; B C Healy; A Arora; G J Buckle; T Chitnis; C R G Guttmann; D Hackney; R Bakshi
Journal:  J Neurol Sci       Date:  2009-04-15       Impact factor: 3.181

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.  Effects of white, grey, and pia mater properties on tissue level stresses and strains in the compressed spinal cord.

Authors:  Carolyn J Sparrey; Geoffrey T Manley; Tony M Keaveny
Journal:  J Neurotrauma       Date:  2009-04       Impact factor: 5.269

10.  Sensorimotor dysfunction in multiple sclerosis and column-specific magnetization transfer-imaging abnormalities in the spinal cord.

Authors:  Kathleen M Zackowski; Seth A Smith; Daniel S Reich; Eliza Gordon-Lipkin; BettyAnn A Chodkowski; Divya R Sambandan; Michael Shteyman; Amy J Bastian; Peter C van Zijl; Peter A Calabresi
Journal:  Brain       Date:  2009-03-18       Impact factor: 13.501

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