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Reproducibility and variability of quantitative magnetic resonance imaging markers in cerebral small vessel disease

Lookup NU author(s): Professor Bloss Stephan

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Abstract

Brain imaging is essential for the diagnosis and characterization of cerebral small vessel disease. Several magnetic resonance imaging markers have therefore emerged, providing new information on the diagnosis, progression, and mechanisms of small vessel disease. Yet, the reproducibility of these small vessel disease markers has received little attention despite being widely used in cross-sectional and longitudinal studies. This review focuses on the main small vessel disease-related markers on magnetic resonance imaging including: white matter hyperintensities, lacunes, dilated perivascular spaces, microbleeds, and brain volume. The aim is to summarize, for each marker, what is currently known about: (1) its reproducibility in studies with a scan-rescan procedure either in single or multicenter settings; (2) the acquisition-related sources of variability; and, (3) the techniques used to minimize this variability. Based on the results, we discuss technical and other challenges that need to be overcome in order for these markers to be reliably used as outcome measures in future clinical trials. We also highlight the key points that need to be considered when designing multicenter magnetic resonance imaging studies of small vessel disease.


Publication metadata

Author(s): De Guio F, Jouvent E, Biessels GJ, Black SE, Brayne C, Chen C, Cordonnier C, De Leeuw FE, Dichgans M, Doubal F, Duering M, Dufouil C, Duzel E, Fazekas F, Hachinski V, Ikram MA, Linn J, Matthews PM, Mazoyer B, Mok V, Norrving B, O'Brien JT, Pantoni L, Ropele S, Sachdev P, Schmidt R, Seshadri S, Smith EE, Sposato LA, Stephan B, Swartz RH, Tzourio C, van Buchem M, van der Lugt A, van Oostenbrugge R, Vernooij MW, Viswanathan A, Werring D, Wollenweber F, Wardlaw JM, Chabriat H

Publication type: Review

Publication status: Published

Journal: Journal of Cerebral Blood Flow & Metabolism

Year: 2016

Volume: 36

Issue: 8

Pages: 1319-1337

Print publication date: 01/08/2016

Online publication date: 11/05/2016

Acceptance date: 20/03/2016

ISSN (print): 0271-678X

ISSN (electronic): 1559-7016

Publisher: NATURE PUBLISHING GROUP

URL: http://dx.doi.org/10.1177/0271678X16647396

DOI: 10.1177/0271678X16647396


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