Literature DB >> 27170700

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

François De Guio1, Eric Jouvent2, Geert Jan Biessels3, Sandra E Black4, Carol Brayne5, Christopher Chen6, Charlotte Cordonnier7, Frank-Eric De Leeuw8, Martin Dichgans9, Fergus Doubal10, Marco Duering11, Carole Dufouil12, Emrah Duzel13, Franz Fazekas14, Vladimir Hachinski15, M Arfan Ikram16, Jennifer Linn17, Paul M Matthews18, Bernard Mazoyer19, Vincent Mok20, Bo Norrving21, John T O'Brien22, Leonardo Pantoni23, Stefan Ropele14, Perminder Sachdev24, Reinhold Schmidt14, Sudha Seshadri25, Eric E Smith26, Luciano A Sposato15, Blossom Stephan27, Richard H Swartz4, Christophe Tzourio12, Mark van Buchem28, Aad van der Lugt29, Robert van Oostenbrugge30, Meike W Vernooij29, Anand Viswanathan31, David Werring32, Frank Wollenweber11, Joanna M Wardlaw33, Hugues Chabriat34.   

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.
© The Author(s) 2016.

Entities:  

Keywords:  Magnetic resonance imaging; atrophy; brain volume; cerebral small vessel disease; lacunes; marker; microbleeds; perivascular spaces; repeatability; reproducibility; variability; white matter hyperintensities

Mesh:

Substances:

Year:  2016        PMID: 27170700      PMCID: PMC4976752          DOI: 10.1177/0271678X16647396

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  121 in total

1.  Normalized accurate measurement of longitudinal brain change.

Authors:  S M Smith; N De Stefano; M Jenkinson; P M Matthews
Journal:  J Comput Assist Tomogr       Date:  2001 May-Jun       Impact factor: 1.826

2.  Effect of scanner in longitudinal studies of brain volume changes.

Authors:  Hidemasa Takao; Naoto Hayashi; Kuni Ohtomo
Journal:  J Magn Reson Imaging       Date:  2011-06-20       Impact factor: 4.813

3.  Reliability of longitudinal brain volume loss measurements between 2 sites in patients with multiple sclerosis: comparison of 7 quantification techniques.

Authors:  F Durand-Dubief; B Belaroussi; J P Armspach; M Dufour; S Roggerone; S Vukusic; S Hannoun; D Sappey-Marinier; C Confavreux; F Cotton
Journal:  AJNR Am J Neuroradiol       Date:  2012-07-12       Impact factor: 3.825

4.  Man Versus Machine Part 2: Comparison of Radiologists' Interpretations and NeuroQuant Measures of Brain Asymmetry and Progressive Atrophy in Patients With Traumatic Brain Injury.

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Journal:  J Neuropsychiatry Clin Neurosci       Date:  2015       Impact factor: 2.198

5.  Microbleeds are independently related to gait disturbances in elderly individuals with cerebral small vessel disease.

Authors:  Karlijn F de Laat; Heleen A C van den Berg; Anouk G W van Norden; Rob A R Gons; Marcel G M Olde Rikkert; Frank-Erik de Leeuw
Journal:  Stroke       Date:  2010-12-16       Impact factor: 7.914

6.  Comparison of ESWAN, SWI-SPGR, and 2D T2*-weighted GRE sequence for depicting cerebral microbleeds.

Authors:  L F Guo; G Wang; X Y Zhu; C Liu; L Cui
Journal:  Clin Neuroradiol       Date:  2012-12-03       Impact factor: 3.649

7.  Handling changes in MRI acquisition parameters in modeling whole brain lesion volume and atrophy data in multiple sclerosis subjects: Comparison of linear mixed-effect models.

Authors:  Alicia S Chua; Svetlana Egorova; Mark C Anderson; Mariann Polgar-Turcsanyi; Tanuja Chitnis; Howard L Weiner; Charles R G Guttmann; Rohit Bakshi; Brian C Healy
Journal:  Neuroimage Clin       Date:  2015-07-02       Impact factor: 4.881

8.  Use of brain MRI atlases to determine boundaries of age-related pathology: the importance of statistical method.

Authors:  David Alexander Dickie; Dominic E Job; David Rodriguez Gonzalez; Susan D Shenkin; Joanna M Wardlaw
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9.  Reproducibility of structural, resting-state BOLD and DTI data between identical scanners.

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10.  Mechanisms of cognitive impairment in cerebral small vessel disease: multimodal MRI results from the St George's cognition and neuroimaging in stroke (SCANS) study.

Authors:  Andrew J Lawrence; Bhavini Patel; Robin G Morris; Andrew D MacKinnon; Philip M Rich; Thomas R Barrick; Hugh S Markus
Journal:  PLoS One       Date:  2013-04-22       Impact factor: 3.240

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  36 in total

1.  Post-acquisition processing confounds in brain volumetric quantification of white matter hyperintensities.

Authors:  Ahmed A Bahrani; Omar M Al-Janabi; Erin L Abner; Shoshana H Bardach; Richard J Kryscio; Donna M Wilcock; Charles D Smith; Gregory A Jicha
Journal:  J Neurosci Methods       Date:  2019-08-10       Impact factor: 2.390

2.  Diagnostic value of neuro-ophthalmological signs in cases of Chiari I malformation.

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3.  Different types of white matter hyperintensities in CADASIL: Insights from 7-Tesla MRI.

Authors:  François De Guio; Alexandre Vignaud; Hugues Chabriat; Eric Jouvent
Journal:  J Cereb Blood Flow Metab       Date:  2017-01-27       Impact factor: 6.200

4.  The glymphatic system and its role in cerebral homeostasis.

Authors:  Helene Benveniste; Rena Elkin; Paul M Heerdt; Sunil Koundal; Yuechuan Xue; Hedok Lee; Joanna Wardlaw; Allen Tannenbaum
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5.  Clinical correlates of longitudinal MRI changes in CADASIL.

Authors:  Yifeng Ling; François De Guio; Eric Jouvent; Marco Duering; Dominique Hervé; Jean Pierre Guichard; Ophélia Godin; Martin Dichgans; Hugues Chabriat
Journal:  J Cereb Blood Flow Metab       Date:  2018-02-05       Impact factor: 6.200

6.  Validation and Optimization of BIANCA for the Segmentation of Extensive White Matter Hyperintensities.

Authors:  Yifeng Ling; Eric Jouvent; Louis Cousyn; Hugues Chabriat; François De Guio
Journal:  Neuroinformatics       Date:  2018-04

Review 7.  Incident cerebral lacunes: A review.

Authors:  Yifeng Ling; Hugues Chabriat
Journal:  J Cereb Blood Flow Metab       Date:  2020-03-03       Impact factor: 6.200

8.  Brain atrophy in cerebral small vessel diseases: Extent, consequences, technical limitations and perspectives: The HARNESS initiative.

Authors:  François De Guio; Marco Duering; Franz Fazekas; Frank-Erik De Leeuw; Steven M Greenberg; Leonardo Pantoni; Agnès Aghetti; Eric E Smith; Joanna Wardlaw; Eric Jouvent
Journal:  J Cereb Blood Flow Metab       Date:  2019-11-20       Impact factor: 6.200

9.  Cortical superficial siderosis progression in cerebral amyloid angiopathy: Prospective MRI study.

Authors:  Thanakit Pongpitakmetha; Panagiotis Fotiadis; Marco Pasi; Gregoire Boulouis; Li Xiong; Andrew D Warren; Kristin M Schwab; Jonathan Rosand; M Edip Gurol; Steven M Greenberg; Anand Viswanathan; Andreas Charidimou
Journal:  Neurology       Date:  2020-04-13       Impact factor: 9.910

Review 10.  Understanding the role of the perivascular space in cerebral small vessel disease.

Authors:  Rosalind Brown; Helene Benveniste; Sandra E Black; Serge Charpak; Martin Dichgans; Anne Joutel; Maiken Nedergaard; Kenneth J Smith; Berislav V Zlokovic; Joanna M Wardlaw
Journal:  Cardiovasc Res       Date:  2018-09-01       Impact factor: 10.787

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