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Evaluation of white matter in patients with multiple sclerosis through diffusion tensor magnetic resonance imaging

Overview of attention for article published in Arquivos de Neuro-Psiquiatria, September 2007
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Title
Evaluation of white matter in patients with multiple sclerosis through diffusion tensor magnetic resonance imaging
Published in
Arquivos de Neuro-Psiquiatria, September 2007
DOI 10.1590/s0004-282x2007000400002
Pubmed ID
Authors

Rachel E. Maia de Andrade, Emerson L. Gasparetto, Luiz Celso Hygino Cruz, Fabiana Brito Ferreira, Roberto Cortês Domingues, Edson Marchiori, Romeu Cortês Domingues

Abstract

To study the white matter of patients with multiple sclerosis (MS) with diffusion tensor magnetic resonance (MR) imaging (DTI). Forty patients with clinical-laboratorial diagnosis of relapsing-remitting MS and 40 age- and sex-matched controls, who underwent conventional and functional (DTI) MR imaging, were included in the study. The DTI sequences resulted in maps of fractional anisotropy (FA) and regions of interest were placed on the plaques, peri-plaque regions, normal-appearing white matter (NAWM) around the plaques, contralateral normal white matter (CNWM) and normal white matter of the controls (WMC). The FA values were compared and the statistical treatment was performed with the Mann-Whitney U test. The mean FA in plaques was 0.268, in peri-plaque regions 0.365, in NAWM 0.509, in CNWM 0.552 and in WMC 0.573. Statistical significant differences in FA values were observed in plaques, peri-plaque regions and in NAWM around the plaques when compared to the white matter in the control group. There was no significant difference between the FA values of the CNWM of patients with MS and normal white matter of controls. Patients with MS show difference in the FA values of the plaques, peri-plaques and NAWM around the plaques when compared to the normal white matter of controls. As a result, DTI may be considered more efficient than conventional MR imaging for the study of patients with MS.

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Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 18%
Professor > Associate Professor 4 14%
Other 3 11%
Student > Ph. D. Student 3 11%
Student > Master 2 7%
Other 5 18%
Unknown 6 21%
Readers by discipline Count As %
Medicine and Dentistry 13 46%
Neuroscience 3 11%
Social Sciences 1 4%
Computer Science 1 4%
Engineering 1 4%
Other 0 0%
Unknown 9 32%