Cited by 5,544Cerebrovascular and genetic disordersNeurological Disease Mechanisms and TreatmentsDementia and Cognitive Impairment Research

The DOI matches its Crossref record; 118 of the 125 references it cites were found in a registry or an index; 19 of the 116 sources its claims cite were checked for support.

Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration

Open access

Abstract

Cerebral small vessel disease (SVD) is a common accompaniment of ageing. Features seen on neuroimaging include recent small subcortical infarcts, lacunes, white matter hyperintensities, perivascular spaces, microbleeds, and brain atrophy. SVD can present as a stroke or cognitive decline, or can have few or no symptoms. SVD frequently coexists with neurodegenerative disease, and can exacerbate cognitive deficits, physical disabilities, and other symptoms of neurodegeneration. Terminology and definitions for imaging the features of SVD vary widely, which is also true for protocols for image acquisition and image analysis. This lack of consistency hampers progress in identifying the contribution of SVD to the pathophysiology and clinical features of common neurodegenerative diseases. We are an international working group from the Centres of Excellence in Neurodegeneration. We completed a structured process to develop definitions and imaging standards for markers and consequences of SVD. We aimed to achieve the following: first, to provide a common advisory about terms and definitions for features visible on MRI; second, to suggest minimum standards for image acquisition and analysis; third, to agree on standards for scientific reporting of changes related to SVD on neuroimaging; and fourth, to review emerging imaging methods for detection and quantification of preclinical manifestations of SVD. Our findings and recommendations apply to research studies, and can be used in the clinical setting to standardise image interpretation, acquisition, and reporting. This Position Paper summarises the main outcomes of this international effort to provide the STandards for ReportIng Vascular changes on nEuroimaging (STRIVE).

Overview

Integrity signals

Registry

Crossref · 10.1016/s1474-4422(13)70124-8

Cites

118 of 119 references verified0 citation errors · 1 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

46 No full text of the sources · 12 Own result · 10 No basis given · 8 Own method · 7 Partly supported · 7 Own interpretation · 6 Supported · 3 Supported so far · 2 Not checked yet · 1 Not supported · accuracy not yet measured

Verify all 2 references — free account
  • Probably not a substantial claim. 43
  • It may state two separate claims as one. 21
57 of 57
  • The authors state this as an assumption.

    Tissue loss in brain atrophy is inferred from enlargement of peripheral and central CSF spaces relative to intracranial volume and other measures.

    “Tissue loss is assumed from the enlargement of peripheral (sulcal) and central (ventricular) CSF spaces in relation to intracranial volume and other measures”
  • The paper relies on this without support.

    The proposed standards reliably classify most manifestations of cerebral small vessel disease seen on neuroimaging.

    “These standards are expected to reliably classify most manifestations of SVD seen on neuroimaging”
  • The paper relies on this without support.

    Automated computational methods have not been developed for small vessel disease.

    “This validation step is crucial for studies of SVD because automated methods have not been developed for the disorder, and there is a high risk of misclassification of lesions, especially when unfamiliar pulse sequences are used or scanners are upgraded.”
  • The paper relies on this without support.

    Most scanners can now perform 3D acquisitions for T1, T2, GRE, and FLAIR.

    “These three-dimensional acquisitions are now possible on most scanners for T1-weighted, T2-weighted, GRE, and FLAIR techniques.”
  • The paper relies on this without support.

    Validation of 3D magnetisation-prepared T1-weighted protocols for major scanner types at 1.5 T and 3.0 T has been done by the Alzheimer's Disease Neuroimaging Initiative.

    “The Alzheimer's Disease Neuroimaging Initiative has validated three-dimensional magnetisation prepared T1-weighted sequence protocols for the major scanner types at 1·5 T and 3·0 T; sequence protocols are freely available.”
  • The paper relies on this without support.

    Sequences sensitive to paramagnetic content, like susceptibility-weighted imaging, produce more artifacts.

    “Other high-resolution sequences sensitive to paramagnetic content, such as susceptibility-weighted imaging and equivalents, should be considered for three-dimensional image acquisition, although these sequences increase the presence of artifacts.”
  • The paper relies on this without support.

    Regular recalibration against standard examples helps maintain consistency when rating many scans or scans from different sessions.

    “Regular recalibration against standard examples is useful to maintain consistency when rating large numbers of scans or when rating images from different sessions.”
  • The paper relies on this without support.

    A single sequence in the coronal or sagittal plane, rather than axial, aids visualisation of correct lesion dimensions.

    “The use of one sequence (usually T1-weighted MRI) in the coronal or sagittal plane instead of the axial plane helps to visualise the correct lesion dimensions (appendix).”
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Citations

Cites

Show all 125 references

Research works printed but not linked: 1

  1. 2001, Cognitive function and ageing study (MRC CFAS), Lancet, 357, 169

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Metadata

Authors
Wardlaw, J. M., Smith, E. E., Biessels, G. J., Cordonnier, C., Fazekas, F., Frayne, R., Lindley, R. I., O'Brien, J. T., Barkhof, F., Benavente, O. R., Black, S. E., Brayne, C., Breteler, M., Chabriat, H., DeCarli, C., de Leeuw, F.-E., Doubal, F., Duering, M., Fox, N. C., Greenberg, S., Hachinski, V., Kilimann, I., Mok, V., Oostenbrugge, R. V., Pantoni, L., Speck, O., Stephan, B. C. M., Teipel, S., Viswanathan, A., Werring, D., Chen, C., Smith, C., van Buchem, M., Norrving, B., Gorelick, P. B., & Dichgans, M.
Affiliations
  • University of Edinburgh (GB)
  • University of Calgary (CA)
  • University Medical Center Utrecht (NL)
  • Centre Hospitalier Universitaire de Lille (FR)
  • Medical University of Graz (AT)
  • The University of Sydney (AU)
  • University of Cambridge (GB)
  • Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
  • University of British Columbia (CA)
  • Sunnybrook Health Science Centre (CA)
  • German Center for Neurodegenerative Diseases (DE)
  • Inserm (FR)
  • University of California, Davis (US)
  • Radboud University Medical Center (NL)
  • Institut für Schlaganfall- und Demenzforschung (DE)
  • UCL Queen Square Institute of Neurology (GB)
  • Massachusetts General Hospital (US)
  • Western University (CA)
  • Chinese University of Hong Kong (HK)
  • Azienda Ospedaliero-Universitaria Careggi (IT)
  • Otto-von-Guericke-Universität Magdeburg (DE)
  • Newcastle University (GB)
  • National University of Singapore (SG)
  • Leiden University Medical Center (NL)
  • Skåne University Hospital (SE)
  • Trinity Health Grand Rapids (US)
  • Munich Cluster for Systems Neurology (DE)
Corresponding author
  • Wardlaw, Joanna M
  • Dichgans, Martin
Venue
The Lancet Neurology
Publisher
Elsevier BV
Published
2013-08
Volume
12
Issue
8
Pages
822-838
ISSN
1474-4422 (ISSN-L)
OpenAlex
W2158742097
Cited by
5,544
References
125
Citations by year
2026: 529 · 2025: 499 · 2024: 602 · 2023: 570 · 2022: 658 · 2021: 565 · 2020: 482 · 2019: 443 · 2018: 328 · 2017: 290 · 2016: 229 · 2015: 190 · 2014: 127 · 2013: 18
FWCI
111.55
Type
journal article
Language
en
Open access
Locations
  • The Lancet Neurology (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Research Publications (Maastricht University) (publishedVersion, other-oa)
  • Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
  • Leiden Repository (Leiden University) (submittedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • Florence Research (University of Florence) (submittedVersion)
  • Lund University Publications (Lund University) (submittedVersion)
  • DZNE Pub (submittedVersion)
  • Pure Amsterdam UMC (submittedVersion)
  • Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
  • Radboud Repository (Radboud University) (submittedVersion)
  • Research Publications (Maastricht University) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • Newcastle University ePrints (Newcastle Univesity)
Funders
  • National Institute for Health and Care Research (NF-SI-0611-10084, NF-SI-0508-10123)
  • Canadian Institutes of Health Research
  • Medical Research Council (MR/J006971/1)
  • National Institute on Aging (P30AG010129, K23AG028726)
  • National Institute of Neurological Disorders and Stroke (R01NS017950)
Topics
  • Health Sciences › Medicine › Clinical Neurology › Cerebrovascular and genetic disorders
  • Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Keywords
cerebral small vessel disease, neurodegeneration, aging, white matter hyperintensities, lacunes, microbleeds, perivascular spaces, brain atrophy, subcortical infarcts, scientific reporting standards
MeSH terms
Aging, Female, Humans, Image Processing, Computer-Assisted, International Cooperation, Male, Terminology as Topic, Guidelines as Topic, Neurodegenerative Diseases, Cerebral Small Vessel Diseases, Neuroimaging

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