Literature DB >> 11212131

Relationship between brain atrophy and disability: an 8-year follow-up study of multiple sclerosis patients.

E Fisher1, R A Rudick, G Cutter, M Baier, D Miller, B Weinstock-Guttman, M K Mass, D S Dougherty, N A Simonian.   

Abstract

Brain atrophy measurement can provide an estimate of the amount of tissue destruction due to the pathologic processes in multiple sclerosis. The potential usefulness of atrophy as a marker of disease progression depends upon the concurrent and predictive relationships between atrophy and disability. A follow-up study was performed to measure atrophy and disability scores in patients from the Multiple Sclerosis Collaborative Research Group's phase III trial of IFNbeta-1a (Avonex) in relapsing- remitting multiple sclerosis. New data were obtained on 160 out of 172 eligible patients from the original trial were enrolled in the follow-up study approximately 8 years after randomization. The follow-up visit consisted of several tests and questionnaires including a clinical exam to determine Expanded Disability Status Score (EDSS) and Multiple Sclerosis Functional Composite (MSFC), and a magnetic resonance imaging exam to calculate the brain parenchymal fraction. Brain parenchymal fraction was correlated with both EDSS and MSFC at each of the four time points for which data were available (baseline 1, 2 and 8 years). Furthermore, the change in BPF was correlated with the changes in disability scores from the end of the phase III trial to the follow-up exam. These data suggest that brain atrophy may be a useful and clinically relevant marker of disease progression in relapsing--remitting MS.

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Year:  2000        PMID: 11212131     DOI: 10.1177/135245850000600602

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


  38 in total

1.  Standardized calculation of brain parenchymal fraction: an approach to objective assessment of cerebral atrophy.

Authors:  Freimut D Juengling; Jan Kassubek
Journal:  AJNR Am J Neuroradiol       Date:  2003-08       Impact factor: 3.825

Review 2.  Assessing treatment effects on axonal loss--evidence from MRI monitored clinical trials.

Authors:  Frederik Barkhof
Journal:  J Neurol       Date:  2004-09       Impact factor: 4.849

Review 3.  Mechanisms of neuronal dysfunction and degeneration in multiple sclerosis.

Authors:  Ranjan Dutta; Bruce D Trapp
Journal:  Prog Neurobiol       Date:  2010-10-12       Impact factor: 11.685

Review 4.  Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis--establishing disease prognosis and monitoring patients.

Authors:  Mike P Wattjes; Àlex Rovira; David Miller; Tarek A Yousry; Maria P Sormani; Maria P de Stefano; Mar Tintoré; Cristina Auger; Carmen Tur; Massimo Filippi; Maria A Rocca; Franz Fazekas; Ludwig Kappos; Chris Polman
Journal:  Nat Rev Neurol       Date:  2015-09-15       Impact factor: 42.937

5.  Five-year longitudinal changes in quantitative spinal cord MRI in multiple sclerosis.

Authors:  Jiwon Oh; Min Chen; Kateryna Cybulsky; Suradech Suthiphosuwan; Estelle Seyman; Blake Dewey; Marie Diener-West; Peter van Zijl; Jerry Prince; Daniel S Reich; Peter A Calabresi
Journal:  Mult Scler       Date:  2020-06-01       Impact factor: 6.312

6.  Efficacy, safety, and cost-effectiveness of glatiramer acetate in the treatment of relapsing-remitting multiple sclerosis.

Authors:  Aaron Boster; Mary Pat Bartoszek; Colleen O'Connell; David Pitt; Michael Racke
Journal:  Ther Adv Neurol Disord       Date:  2011-09       Impact factor: 6.570

Review 7.  Secondary Progressive Multiple Sclerosis: Definition and Measurement.

Authors:  Domenico Plantone; Floriana De Angelis; Anisha Doshi; Jeremy Chataway
Journal:  CNS Drugs       Date:  2016-06       Impact factor: 5.749

8.  Aerobic fitness is associated with gray matter volume and white matter integrity in multiple sclerosis.

Authors:  Ruchika Shaurya Prakash; Erin M Snook; Robert W Motl; Arthur F Kramer
Journal:  Brain Res       Date:  2009-06-25       Impact factor: 3.252

Review 9.  Neuroimaging in multiple sclerosis: neurotherapeutic implications.

Authors:  Nancy L Sicotte
Journal:  Neurotherapeutics       Date:  2011-01       Impact factor: 7.620

10.  Thalamic lesions in multiple sclerosis by 7T MRI: Clinical implications and relationship to cortical pathology.

Authors:  Daniel M Harrison; Jiwon Oh; Snehashis Roy; Emily T Wood; Anna Whetstone; Michaela A Seigo; Craig K Jones; Dzung Pham; Peter van Zijl; Daniel S Reich; Peter A Calabresi
Journal:  Mult Scler       Date:  2015-01-12       Impact factor: 6.312

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