Literature DB >> 11591845

Optimizing the association between disability and biological markers in MS.

N F Kalkers1, E Bergers, J A Castelijns, M A van Walderveen, J C Bot, H J Adèr, C H Polman, F Barkhof.   

Abstract

OBJECTIVE: Axonal damage is an important feature of MS pathology and the likely substrate of development of progressive disability. Brain volume measurement on MRI can be used as an overall marker of tissue damage and axonal loss. The authors studied the relation of brain volume measurements with the MS Functional Composite (MSFC) in an attempt to improve the clinico-radiologic association.
METHODS: In 137 patients with MS (80 relapsing-remitting [RR], 36 secondary progressive [SP], and 21 primary progressive [PP]) and 12 healthy controls, a brain MRI scan was obtained. Patients also underwent MSFC and Expanded Disability Status Scale (EDSS) assessments. MRI analysis included determination of hypointense T1- and hyperintense T2-weighted lesion load, and two brain volume measurements: 1) the parenchymal fraction (PF): whole brain parenchyma/intracranial volume; and 2) the ventricular fraction (VF): ventricular volume/whole brain parenchyma.
RESULTS: The median PF was smaller and the median VF larger in the patient group (0.81 for PF and 0.029 for VF) than in the control group (0.87 for PF, p < 0.001; and 0.013 for VF, p < 0.01). For the patient population, moderate correlations were found between brain volume measurements and MSFC (0.36 for PF and -0.40 for VF). Patients with short disease duration showed a correlation of MSFC with both brain and lesion volume measurements on MRI, whereas patients with long disease duration only showed a correlation with brain volume measurements.
CONCLUSION: Brain volume measurements are correlated with disability as assessed by the MSFC. Although in the early phase of the disease the amount of focal demyelination is important, the residual brain volume seems to be more relevant in determining disability in later phases of the disease.

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Year:  2001        PMID: 11591845     DOI: 10.1212/wnl.57.7.1253

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  23 in total

1.  Measurement of volumetric lesion load in multiple sclerosis: moving from normal- to dirty-appearing white matter.

Authors:  Sandy Cheng-Yu Chen; Hsiao-Wen Chung; Michelle Liou
Journal:  AJNR Am J Neuroradiol       Date:  2003 Nov-Dec       Impact factor: 3.825

2.  Brain volume and diffusion markers as predictors of disability and short-term disease evolution in multiple sclerosis.

Authors:  P G Sämann; M Knop; E Golgor; S Messler; M Czisch; F Weber
Journal:  AJNR Am J Neuroradiol       Date:  2012-03-01       Impact factor: 3.825

3.  Discriminant analysis of the cognitive performance profile of MS patients differentiates their clinical course.

Authors:  Jürgen A Kraus; Cathleen Schütze; Barbara Brokate; Beate Kröger; Günther Schwendemann; Helmut Hildebrandt
Journal:  J Neurol       Date:  2005-03-06       Impact factor: 4.849

4.  Analysing the effect of candidate genes on complex traits: an application in multiple sclerosis.

Authors:  Tineke Hooper-van Veen; Johannes Berkhof; Chris H Polman; Bernard M J Uitdehaag
Journal:  Immunogenetics       Date:  2006-04-13       Impact factor: 2.846

5.  MRI predictors of cognitive outcome in early multiple sclerosis.

Authors:  M S A Deloire; A Ruet; D Hamel; M Bonnet; V Dousset; B Brochet
Journal:  Neurology       Date:  2011-03-29       Impact factor: 9.910

6.  Axonal damage accumulates in the progressive phase of multiple sclerosis: three year follow up study.

Authors:  A Petzold; M J Eikelenboom; G Keir; D Grant; R H C Lazeron; C H Polman; B M J Uitdehaag; E J Thompson; G Giovannoni
Journal:  J Neurol Neurosurg Psychiatry       Date:  2005-02       Impact factor: 10.154

Review 7.  Multiple sclerosis: the role of MR imaging.

Authors:  Y Ge
Journal:  AJNR Am J Neuroradiol       Date:  2006 Jun-Jul       Impact factor: 3.825

8.  Composite MRI scores improve correlation with EDSS in multiple sclerosis.

Authors:  A H Poonawalla; S Datta; V Juneja; F Nelson; J S Wolinsky; G Cutter; P A Narayana
Journal:  Mult Scler       Date:  2010-09       Impact factor: 6.312

9.  Grey matter magnetization transfer ratio independently correlates with neurological deficit in secondary progressive multiple sclerosis.

Authors:  T Hayton; J Furby; K J Smith; D R Altmann; R Brenner; J Chataway; R A C Hughes; K Hunter; D J Tozer; D H Miller; R Kapoor
Journal:  J Neurol       Date:  2009-03-06       Impact factor: 4.849

Review 10.  Interventions for the prevention of brain atrophy in multiple sclerosis : current status.

Authors:  Marco Rovaris; Massimo Filippi
Journal:  CNS Drugs       Date:  2003       Impact factor: 5.749

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