Literature DB >> 11442439

Correlations of brain MRI parameters to disability in multiple sclerosis.

K Schreiber1, P S Sørensen, N Koch-Henriksen, A Wagner, M Blinkenberg, C Svarer, H C Petersen.   

Abstract

OBJECTIVES: The objective was to correlate magnetic resonance imaging (MRI) T2-weighted lesion load and measures of white matter atrophy in the brain to disability in a population-based sample of patients with multiple sclerosis (MS).
MATERIAL AND METHODS: A well defined cohort of patients was drawn at random from the general MS population by using the Danish Multiple Sclerosis Registry. A semi-automated local thresholding technique was used to quantify T2-weighted lesions on MRI; whereas manual tracing was applied to measure the corpus callosum brain ratio (CCR) and the ventricle brain ratio (VBR).
RESULTS: A sample of 86 patients with a mean age of 43.3 years (SD 4.3), mean disease duration of 13.6 years (SD 4.4) and a median Expanded Disability Status Score (EDSS) of 6.0 was identified. The correlation between total lesion area of the brain (TLA) and disability (EDSS) for the whole sample was moderate (Spearman rank correlation coefficient r=0.48, P<0.001). Also correlations of CCR and VBR to disability (r=0.32-0.46) were significant.
CONCLUSIONS: Correlations of TLA and disability in this study were rather strong. Hence, T2-weighted MRI lesion load in the brain still plays an important role as a surrogate marker of disease and as a secondary outcome measure in phase III treatment trials.

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Year:  2001        PMID: 11442439     DOI: 10.1034/j.1600-0404.2001.00041.x

Source DB:  PubMed          Journal:  Acta Neurol Scand        ISSN: 0001-6314            Impact factor:   3.209


  7 in total

1.  Progression of non-age-related callosal brain atrophy in multiple sclerosis: a 9-year longitudinal MRI study representing four decades of disease development.

Authors:  Juha Martola; Leszek Stawiarz; Sten Fredrikson; Jan Hillert; Jakob Bergström; Olof Flodmark; Maria Kristoffersen Wiberg
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-11-21       Impact factor: 10.154

2.  Status epilepticus as a risk factor for postencephalitic parenchyma loss evaluated by ventricle brain ratio measurement on MR imaging.

Authors:  E K Herrmann; K Hahn; C Kratzer; I von Seggern; C Zimmer; E Schielke
Journal:  AJNR Am J Neuroradiol       Date:  2006 Jun-Jul       Impact factor: 3.825

3.  Diffusion tensor magnetic resonance imaging in patients with multiple sclerosis and its relationship with disability.

Authors:  S Temel; H D Keklikoğlu; H D Kekliğkoğlu; G Vural; O Deniz; K Ercan
Journal:  Neuroradiol J       Date:  2013-03-08

4.  Fatigue and progression of corpus callosum atrophy in multiple sclerosis.

Authors:  Özgür Yaldizli; Stephanie Glassl; Dietrich Sturm; Athina Papadopoulou; Achim Gass; Barbara Tettenborn; Norman Putzki
Journal:  J Neurol       Date:  2011-05-19       Impact factor: 4.849

5.  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

6.  Chemical exchange saturation transfer of the cervical spinal cord at 7 T.

Authors:  Adrienne N Dula; Siddharama Pawate; Lindsey M Dethrage; Benjamin N Conrad; Blake E Dewey; Robert L Barry; Seth A Smith
Journal:  NMR Biomed       Date:  2016-07-26       Impact factor: 4.044

7.  Estimating uncertainty in brain region delineations.

Authors:  Karl R Beutner; Gautam Prasad; Evan Fletcher; Charles DeCarli; Owen T Carmichael
Journal:  Inf Process Med Imaging       Date:  2009
  7 in total

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