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

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

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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.
Original languageUndefined/Unknown
Pages (from-to)1319-1337
Number of pages19
JournalJournal of Cerebral Blood Flow and Metabolism
Issue number8
Publication statusPublished - 2016

Research programs

  • EMC COEUR-09
  • EMC NIHES-01-64-01
  • EMC NIHES-03-30-01
  • EMC NIHES-03-30-02

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