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Research ArticleBrain

Brain Volume and Diffusion Markers as Predictors of Disability and Short-Term Disease Evolution in Multiple Sclerosis

P.G. Sämann, M. Knop, E. Golgor, S. Messler, M. Czisch and F. Weber
American Journal of Neuroradiology August 2012, 33 (7) 1356-1362; DOI: https://doi.org/10.3174/ajnr.A2972
P.G. Sämann
aFrom the Neuroimaging Research Group (P.G.S., E.G., M.C.)
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M. Knop
bInflammatory Disorders of the Central Nervous System Research Group (M.K., F.W.), Max Planck Institute of Psychiatry, Munich, Germany
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E. Golgor
aFrom the Neuroimaging Research Group (P.G.S., E.G., M.C.)
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S. Messler
cDepartment of Statistics (S.M.), Ludwig-Maximilians-Universität, Munich, Germany. Dr Golgor is currently affiliated with the Institute of Diagnostic Radiology, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany. Dr Messler is currently affiliated with INC Research GmbH, Munich, Germany.
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M. Czisch
aFrom the Neuroimaging Research Group (P.G.S., E.G., M.C.)
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F. Weber
bInflammatory Disorders of the Central Nervous System Research Group (M.K., F.W.), Max Planck Institute of Psychiatry, Munich, Germany
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Abstract

BACKGROUND AND PURPOSE: MRI markers of neuroaxonal damage in MS have emerged as critical long-term predictors of MS-related disability. Here we investigated the potential of whole-brain diffusivity and brain volume for the prediction of cross-sectional disability and short- to medium-term clinical evolution.

MATERIALS AND METHODS: In this multimodal prospective longitudinal MRI study of 54 patients with MS (87% under immunomodulatory therapy, baseline and follow-up at a median of 12 months), ADC histogram analysis, WM lesion load, BPF, whole-brain atrophy rate, MSFC score, and EDSS score were obtained. A total of 44 patients with no relapse at both time points were included.

RESULTS: At both time points, ADC histogram analysis provided robust predictors of the MSFC scores (maximal R2 = 0.576, P < .001), incorporated cognition and fine-motor skill subscores, and EDSS scores. Significant changes beyond physiologic age-related changes at follow-up were noted for ADC histogram markers and BPF. Stronger diffusivity alterations and brain volume at baseline predicted MSFC decline, as demonstrated by multiple linear regression analysis (mean ADC, R2 = 0.203; P = .003) and lower baseline BPF in patients with declined compared with stable MSFC scores (P = .001). Results were independent of intercurrent relapses.

CONCLUSIONS: Diffusion histogram analysis provided stable surrogates of disability in MS and proved sensitive for monitoring disease progression during a median of 12 months. Advanced neuroaxonal pathology at baseline was indicative of an increased risk for sustained progression during a median of 12 months, independent of intercurrent relapses.

ABBREVIATIONS:

BPF
brain parenchyma fraction
CI
confidence interval
EDSS
Expanded Disability Status Scale
GM
gray matter
MSFC
MS Functional Composite
9-HPT
9-Hole Peg Test
PASAT
Paced Auditory Serial Addition Test
PBVC
percentage brain volume change
TWT
timed walk test
WMLLperc
WM lesion load volume as percentage of total WM volume
  • © 2012 by American Journal of Neuroradiology
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American Journal of Neuroradiology: 33 (7)
American Journal of Neuroradiology
Vol. 33, Issue 7
1 Aug 2012
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Cite this article
P.G. Sämann, M. Knop, E. Golgor, S. Messler, M. Czisch, F. Weber
Brain Volume and Diffusion Markers as Predictors of Disability and Short-Term Disease Evolution in Multiple Sclerosis
American Journal of Neuroradiology Aug 2012, 33 (7) 1356-1362; DOI: 10.3174/ajnr.A2972

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Brain Volume and Diffusion Markers as Predictors of Disability and Short-Term Disease Evolution in Multiple Sclerosis
P.G. Sämann, M. Knop, E. Golgor, S. Messler, M. Czisch, F. Weber
American Journal of Neuroradiology Aug 2012, 33 (7) 1356-1362; DOI: 10.3174/ajnr.A2972
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