Literature DB >> 12356208

Brain atrophy in multiple sclerosis: impact of lesions and of damage of whole brain tissue.

N F Kalkers1, H Vrenken, B M J Uitdehaag, C H Polman, F Barkhof.   

Abstract

INTRODUCTION: In multiple sclerosis (MS), brain atrophy measurement on magnetic resonance imaging (MRI) reflects overall tissue loss, especially demyelination and axonal loss. We studied which factor contributes most to the development of brain atrophy extent and severity of lesions or damage of whole brain issue (WBT).
METHODS: Eighty-six patients with MS [32 primary progressive (PP), 32 secondary progressive (SP)] and 22 relapsing-remitting (RR) were studied MRI included T1- and T2-weighted imaging to obtain hypointense T1 lesion volume (T1LV) and two brain volume measurements: 1) the parenchymal fraction (PF; whole brain parenchymal volume/intracranial volume) as a marker of overall brain volume, and 2) the ventricular fraction (VF; ventricular volume/intracranial volume) as a marker of central atrophy. From magnetization transfer ratio (MTR) histograms, the relative peak height (rHp) was derived as an index of damage of WBT (a lower peak height reflects damage of WBT).
RESULTS: Multiple linear regression analysis revealed that damage of WBT explains most of the variance of PF (standardized coeffcient beta = 0.59, p < 0.001 for WBT and beta = -0.19, p < 0.05 for T1LV). These findings are independent of disease phase; even in RR patients, damage of WBT plays a dominant role in explaining the variance in overall brain volume. By contrast the variance in VF is explained by both T1LV and damage of WBT (standardized coefficient beta = 0.43, p < 0.001 for T1LV and beta =-0.38, p < 0.001 for WBT).
CONCLUSION: This study shows that overall brain volume (PF) is best explained by damage of WBT, supporting the significance of nonfocal pathology in MS in producing tissue loss. Central atrophy (VP) is determined by both lesion volume and damage of WBT. Our results underline the importance of nonfocal pathology even in the early (RR) phase of the disease.

Entities:  

Mesh:

Year:  2002        PMID: 12356208     DOI: 10.1191/1352458502ms833oa

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  13 in total

1.  Whole-brain atrophy in multiple sclerosis measured by automated versus semiautomated MR imaging segmentation.

Authors:  Jitendra Sharma; Michael P Sanfilipo; Ralph H B Benedict; Bianca Weinstock-Guttman; Frederick E Munschauer; Rohit Bakshi
Journal:  AJNR Am J Neuroradiol       Date:  2004 Jun-Jul       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.  [(11)C]DAC-PET for noninvasively monitoring neuroinflammation and immunosuppressive therapy efficacy in rat experimental autoimmune encephalomyelitis model.

Authors:  Lin Xie; Tomoteru Yamasaki; Naotsugu Ichimaru; Joji Yui; Kazunori Kawamura; Katsushi Kumata; Akiko Hatori; Norio Nonomura; Ming-Rong Zhang; Xiao-Kang Li; Shiro Takahara
Journal:  J Neuroimmune Pharmacol       Date:  2011-10-29       Impact factor: 4.147

4.  Cognitive impairment as marker of diffuse brain abnormalities in early relapsing remitting multiple sclerosis.

Authors:  M S A Deloire; E Salort; M Bonnet; Y Arimone; M Boudineau; H Amieva; B Barroso; J-C Ouallet; C Pachai; E Galliaud; K G Petry; V Dousset; C Fabrigoule; B Brochet
Journal:  J Neurol Neurosurg Psychiatry       Date:  2005-04       Impact factor: 10.154

Review 5.  MRI in multiple sclerosis: current status and future prospects.

Authors:  Rohit Bakshi; Alan J Thompson; Maria A Rocca; Daniel Pelletier; Vincent Dousset; Frederik Barkhof; Matilde Inglese; Charles R G Guttmann; Mark A Horsfield; Massimo Filippi
Journal:  Lancet Neurol       Date:  2008-07       Impact factor: 44.182

6.  Increasing normal-appearing grey and white matter magnetisation transfer ratio abnormality in early relapsing-remitting multiple sclerosis.

Authors:  G R Davies; D R Altmann; A Hadjiprocopis; W Rashid; D T Chard; C M Griffin; P S Tofts; G J Barker; R Kapoor; A J Thompson; D H Miller
Journal:  J Neurol       Date:  2005-04-18       Impact factor: 4.849

7.  Systemic Escherichia coli infection does not influence clinical symptoms and neurodegeneration in experimental autoimmune encephalomyelitis.

Authors:  Prateek Kumar; Katharina Friebe; Rieka Schallhorn; Zahra Moinfar; Roland Nau; Mathias Bähr; Sandra Schütze; Katharina Hein
Journal:  BMC Neurosci       Date:  2015-06-19       Impact factor: 3.288

8.  Beneficial effect of chronic Staphylococcus aureus infection in a model of multiple sclerosis is mediated through the secretion of extracellular adherence protein.

Authors:  Prateek Kumar; Benedikt Kretzschmar; Sabine Herold; Roland Nau; Mario Kreutzfeldt; Sandra Schütze; Mathias Bähr; Katharina Hein
Journal:  J Neuroinflammation       Date:  2015-02-03       Impact factor: 8.322

9.  Is intracranial atherosclerosis an independent risk factor for cerebral atrophy? A retrospective evaluation.

Authors:  S Erbay; R Han; M Aftab; Kelly H Zou; J F Polak; Rafeeque A Bhadelia
Journal:  BMC Neurol       Date:  2008-12-22       Impact factor: 2.474

10.  The longitudinal relation between brain lesion load and atrophy in multiple sclerosis: a 14 year follow up study.

Authors:  D T Chard; P A Brex; O Ciccarelli; C M Griffin; G J M Parker; C Dalton; D R Altmann; A J Thompson; D H Miller
Journal:  J Neurol Neurosurg Psychiatry       Date:  2003-11       Impact factor: 10.154

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