Open AccessCorrelation of Apparent Diffusion Coefficient to cognitive impairment in Relapsing remittent multiple sclerosis (plaque, peri-plaque and Normal appearing white matter)
Author(s) -
Rania Mostafa Almolla,
Heba Hassan,
Yasser Raya,
Ramadan Hussein
Publication year - 2016
Publication title -
the egyptian journal of radiology and nuclear medicine /the egyptian journal of radiology and nuclear medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.19
H-Index - 13
eISSN - 2090-4762
pISSN - 0378-603X
DOI - 10.1016/j.ejrnm.2016.04.018
Subject(s) - multiple sclerosis , white matter , cognition , medicine , diffusion mri , montreal cognitive assessment , effective diffusion coefficient , cognitive impairment , audiology , magnetic resonance imaging , radiology , psychiatry
The purpose of this study was to determine diffusion coefficient (ADC) in plaque, peri-plaque and normal-appearing white matter (NAWM) in multiple sclerosis (MS), compare them with the control and correlate findings with cognitive state.Subjects and methodsSixty-five participants were included and categorized into MS patients with normal cognition (n=25); MS with mild cognitive impairment (n=20) and control group (no MS and normal cognition; n=20). The Montreal Cognitive Assessment was used to determine cognitive state. Mean ADC was measured in plaque, peri-plaques and NAWM, compared with ADC from corresponding white matter in control and correlated with cognitive scores. Chi Square and Pearson correlation coefficient were used.ResultsThe mean ADC of peri-plaque and NAWM in MS group with cognitive impairment was significantly higher than MS group with normal cognition (p<0.001) and control group (p<0.05) respectively. In MS patients with impaired cognition, the mean ADC in peri-plaque and NAWM demonstrated inverse correlations with cognitive state (r=−0.64, p<0.001) and (r=−0.56, p=0.01) respectively.ConclusionsADC values in peri-plaque and NAWM have an inverse correlation with cognition in MS. The ADC is useful for detecting subtle abnormalities in white matter and can be used as a predictor of cognitive state