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Research ArticleBrain
Open Access

Improved MR Imaging Detection of Cerebral Microbleeds More Accurately Identifies Persons with Vasculopathy

M.M.F. Poels, M.A. Ikram and M.W. Vernooij
American Journal of Neuroradiology September 2012, 33 (8) 1553-1556; DOI: https://doi.org/10.3174/ajnr.A3108
M.M.F. Poels
aFrom the Departments of Epidemiology and Radiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
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M.A. Ikram
aFrom the Departments of Epidemiology and Radiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
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M.W. Vernooij
aFrom the Departments of Epidemiology and Radiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
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References

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    1. Vernooij MW,
    2. van der Lugt A,
    3. Ikram MA,
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    . Prevalence and risk factors of cerebral microbleeds: the Rotterdam Scan Study. Neurology 2008; 70: 1208–14
    Abstract/FREE Full Text
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    . MR imaging detection of cerebral microbleeds: effect of susceptibility-weighted imaging, section thickness, and field strength. AJNR Am J Neuroradiol 2009; 30: 338–43
    Abstract/FREE Full Text
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    1. Vernooij MW,
    2. Ikram MA,
    3. Wielopolski PA,
    4. et al
    . Cerebral microbleeds: accelerated 3D T2*-weighted GRE MR imaging versus conventional 2D T2*-weighted GRE MR imaging for detection. Radiology 2008; 248: 272–77
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    1. Goos JD,
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    . Improving interrater agreement about brain microbleeds: Development of the brain observer microbleed scale (BOMBS). Stroke 2009; 40: 94–99
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    1. Greenberg SM,
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    . Cerebral microbleeds: a guide to detection and interpretation. Lancet Neurol 2009; 8: 165–74
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    1. Poels MM,
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    3. van der Lugt A,
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    . Incidence of cerebral microbleeds in the general population. Stroke 2011; 42: 656–61
    Abstract/FREE Full Text
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    1. de Boer R,
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    3. van der Lijn F,
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    . White matter lesion extension to automatic brain tissue segmentation on MRI. Neuroimage 2009; 45: 1151–61
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    1. Poels MM,
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    3. Ikram MA,
    4. et al
    . Prevalence and risk factors of cerebral microbleeds: an update of the Rotterdam Scan Study. Stroke 2010; 41: S103–06
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    1. Longstreth WT Jr.,
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    . Incidence, manifestations, and predictors of brain infarcts defined by serial cranial magnetic resonance imaging in the elderly: the Cardiovascular Health Study. Stroke 2002; 33: 2376–82
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    3. Catellier DJ,
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    . Vascular risk factors and longitudinal changes on brain MRI: the ARIC Study. Neurology 2011; 76: 1879–85
    Abstract/FREE Full Text
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American Journal of Neuroradiology: 33 (8)
American Journal of Neuroradiology
Vol. 33, Issue 8
1 Sep 2012
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Improved MR Imaging Detection of Cerebral Microbleeds More Accurately Identifies Persons with Vasculopathy
M.M.F. Poels, M.A. Ikram, M.W. Vernooij
American Journal of Neuroradiology Sep 2012, 33 (8) 1553-1556; DOI: 10.3174/ajnr.A3108

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Improved MR Imaging Detection of Cerebral Microbleeds More Accurately Identifies Persons with Vasculopathy
M.M.F. Poels, M.A. Ikram, M.W. Vernooij
American Journal of Neuroradiology Sep 2012, 33 (8) 1553-1556; DOI: 10.3174/ajnr.A3108
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