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Validation of linear cerebral atrophy markers in multiple sclerosis

Citation

Butzkueven, H and Kolbe, SC and Jolley, DJ and Brown, JY and Cook, MJ and Van der Mei, IAF and Groom, PS and Carey, J and Eckholdt, J and Rubio, JP and Taylor, BVM and Mitchell, PJ and Egan, GF and Kilpatrick, TH, Validation of linear cerebral atrophy markers in multiple sclerosis, Journal of Clinical Neuroscience, 15, (2) pp. 130-137. ISSN 0967-5868 (2008) [Refereed Article]

DOI: doi:10.1016/jjocn.2007.02.089

Abstract

Linear measures of cerebral ventricular enlargement may act as surrogate measures of cerebral atrophy in multiple sclerosis (MS). Linear atrophy markers were measured from routine MRI scans during a population survey of 171 Tasmanian MS patients and 91 healthy controls. Thirty-five Victorian MS clinic patients were recruited as a validation cohort with 14 of these re-assessed 4 years later. In the population survey, we measured three linear brain atrophy markers: inter-caudate distance (ICD), third ventricle width (TVW) and frontal horn width (FHW). TVW (OR 2.0, p = 0.001) and ICD (OR 16.1, p < 0.001) differentiated between MS cases and controls. In the validation study, we correlated the intercaudate ratio (ICR = ICD/brain width) and third ventricular ratio (TVR = TVW/brain width) with brain parenchymal volume. Cross-sectionally, ICR (R = -0.453, p < 0.01) and TVR (R = -0.653, p < 0.01) were correlated with brain parenchymal volume. Longitudinally, brain parenchymal volume loss was inversely correlated with increased ICD (R = -0.77, p < 0.01) and TVW (R = -0.71, p < 0.01). This study shows that ICD measurements obtained from clinical MRI scans are valid brain atrophy measures for use in monitoring MS progression. © 2007 Elsevier Ltd. All rights reserved.

Item Details

Item Type:Refereed Article
Research Division:Medical and Health Sciences
Research Group:Neurosciences
Research Field:Central Nervous System
Objective Division:Health
Objective Group:Clinical Health (Organs, Diseases and Abnormal Conditions)
Objective Field:Nervous System and Disorders
UTAS Author:Van der Mei, IAF (Associate Professor Ingrid van der Mei)
UTAS Author:Groom, PS (Sr Patricia Groom)
UTAS Author:Taylor, BVM (Professor Bruce Taylor)
ID Code:52352
Year Published:2008
Web of Science® Times Cited:29
Deposited By:Menzies Institute for Medical Research
Deposited On:2008-06-27
Last Modified:2014-12-17
Downloads:0

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