The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis
By S. Debette, H. Markus. British medical journal, 2010
2,292 citations recorded by the source corpus.
Objectives To review the evidence for an association of white matter hyperintensities with risk of stroke, cognitive decline, dementia, and death. Design Systematic review and meta-analysis. Data sources PubMed from 1966 to 23 November 2009. Study selection Prospective longitudinal studies that used magnetic resonance imaging and assessed the impact of white matter hyperintensities on risk of incident stroke, cognitive decline, dementia, and death, and, for the meta-analysis, studies that provided risk estimates for a categorical measure of white matter hyperintensities, assessing the impact of these lesions on risk of stroke, dementia, and death. Data extraction Population studied, duration of follow-up, method used to measure white matter hyperintensities, definition of the outcome, and measure of the association of white matter hyperintensities with the outcome. Data synthesis 46 longitudinal studies evaluated the association of white matter hyperintensities with risk of stroke (n=12), cognitive decline (n=19), dementia (n=17), and death (n=10). 22 studies could be included in a meta-analysis (nine of stroke, nine of dementia, eight of death). White matter hyperintensities were associated with an increased risk of stroke (hazard ratio 3.3, 95% confidence interval 2.6 to 4.4), dementia (1.9, 1.3 to 2.8), and death (2.0, 1.6 to 2.7). An association of white matter hyperintensities with a faster decline in global cognitive performance, executive function, and processing speed was also suggested. Conclusion White matter hyperintensities predict an increased risk of stroke, dementia, and death. Therefore white matter hyperintensities indicate an increased risk of cerebrovascular events when identified as part of diagnostic investigations, and support their use as an intermediate marker in a research setting. Their discovery should prompt detailed screening for risk factors of stroke and dementia.
Subfields: Epidemiology, Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/d1004dbf2df83e072b6eb7f4eb94cce390ea0a4e
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In Epidemiology
In Psychiatry and Mental health
In Radiology, Nuclear Medicine and Imaging
- Mark Jenkinson
- Peter M. Rothwell
- Ludovica Griffanti
- Stephen M. Smith
- Christian F. Beckmann
- Bruce Fischl
- Matthew F. Glasser
Citations in the corpus
- Multimodal population brain imaging in the UK Biobank prospective epidemiological study (2016, neutral): “…represent white matter lesions that have been associated with a broad range of neuropathological conditions11 (e.g., small vessel ischaemic disease), as well as occurring with increasing incidence in aging populations without (or potentially before) manifestation of neurological symptoms.”
- BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities (2016, background): “…(Li et al., 2013; Simoni et al., 2012), and are associated with increased risk of functional decline, dementia, and death (de Groot et al., 2000; Debette and Markus, 2010; Inzitari et al., 2009; Jeerakathil et al., 2004; Longstreth et al., 1996; Pantoni et al., 2005; Prins and Scheltens, 2015;…”