Correlation of clinical findings and brain volume data in multiple sclerosis.

Autor: Fragoso YD; Department of Neurology, Universidade Metropolitana de Santos, Santos, SP, Brazil. Electronic address: yara@bsnet.com.br., Wille PR; Department of Neurology, Universidade Regional de Joinville, Joinville, SC, Brazil; Department of Radiology, Universidade Regional de Joinville, Joinville, SC, Brazil., Abreu M; Department of Radiology, Clinoson Image, Porto Alegre, RS, Brazil., Brooks JBB; Department of Neurology, Universidade Metropolitana de Santos, Santos, SP, Brazil., Dias RM; Department of Neurology, Hospital de Base do Distrito Federal, Brasilia, DF, Brazil., Duarte JA; Department of Neurology, Hospital de Clinicas de Porto Alegre, RS, Brazil; Department of Radiology, Hospital de Clinicas de Porto Alegre, RS, Brazil., Farage L; Faculty of Health Sciences, Universidade de Brasilia, Brasilia, DF, Brazil., Finkelsztejn A; Department of Neurology, Hospital de Clinicas de Porto Alegre, RS, Brazil; Department of Radiology, Hospital de Clinicas de Porto Alegre, RS, Brazil., Frohlich AC; Department of Neurology, Passo Fundo, RS, Brazil; Department of Neurosurgery of Passo Fundo, Passo Fundo, RS, Brazil., Goncalves MVM; Department of Neurology, Universidade Regional de Joinville, Joinville, SC, Brazil; Department of Radiology, Universidade Regional de Joinville, Joinville, SC, Brazil., Guedes BVS; Department of Radiology, Multscan Image, Vitoria, ES, Brazil., Medeiros L; Department of Neurology, Universidade Estadual de São Paulo, Botucatu, SP, Brazil., Oliveira RA; Department of Radiology, Megaimagem, Santos, SP, Brazil., Ribas FD; Department of Neurology, Hospital Dona Helena, Joinville, SC, Brazil., da Rocha FCG; Department of Neurology, Universidade Estadual de São Paulo, Botucatu, SP, Brazil., Santos GAC; Department of Neurology, Universidade Estácio de Sa, Rio de Janeiro, RJ, Brazil., Scorcine C; Department of Neurology, Universidade Metropolitana de Santos, Santos, SP, Brazil., da Silveira GL; Department of Radiology, Megaimagem, Santos, SP, Brazil., Spedo CT; Department of Neurosciences and Behavioral Sciences, Universidade de São Paulo Campus Ribeirao Preto, Ribeirao Preto, SP, Brazil., Tauil CB; Faculty of Health Sciences, Universidade de Brasilia, Brasilia, DF, Brazil., Varela JS; Department of Neurology, Hospital de Clinicas de Porto Alegre, RS, Brazil; Department of Radiology, Hospital de Clinicas de Porto Alegre, RS, Brazil., Vieira VLF; Department of Neurology, Universidade Federal do Espirito Santo, Vitoria, ES, Brazil.
Jazyk: angličtina
Zdroj: Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia [J Clin Neurosci] 2017 Oct; Vol. 44, pp. 155-157. Date of Electronic Publication: 2017 Jul 01.
DOI: 10.1016/j.jocn.2017.06.006
Abstrakt: Brain volume measurements are becoming an important tool for assessing success in controlling multiple sclerosis (MS) activity. MSmetrix (icometrix) is an easy-to-use platform, specific for MS magnetic resonance imaging (MRI) of the brain. It provides data on total brain volume, grey matter volume and lesion load volume. The objective of the present study was to assess whether disability and the number of relapses during the previous year correlated with brain volume measurements from MSmetrix. Data on 185 icometrix reports from patients with MS were used to evaluate the potential correlation between brain volume measurements and clinical parameters. There was a significant correlation between higher disability and decreased brain volume (total and grey matter). Increased lesion load in the brain and higher number of relapses in the previous year were also independently correlated with decreased brain tissue volume and with increased disability. This is the first study with real-world data to show that icometrix is a relevant tool for the study of brain volume loss in MS.
(Copyright © 2017 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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