White Matter Microstructure Improves Stroke Risk Prediction in the General Population | Zendy

Tavia E. Evans | Zendy; Michael O’Sullivan | Zendy; Marius de Groot | Zendy; Wiro J. Niessen | Zendy; Albert Hofman | Zendy; Gabriël P. Krestin | Zendy; Aad van der Lugt | Zendy; Marileen L.P. Portegies | Zendy; Peter J. Koudstaal | Zendy; Daniël Bos | Zendy; Meike W. Vernooij | Zendy; M. Arfan Ikram | Zendy

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White Matter Microstructure Improves Stroke Risk Prediction in the General Population

Author(s) -

Tavia E. Evans,

Michael O’Sullivan,

Marius de Groot,

Wiro J. Niessen,

Albert Hofman,

Gabriël P. Krestin,

Aad van der Lugt,

Marileen L.P. Portegies,

Peter J. Koudstaal,

Daniël Bos,

Meike W. Vernooij,

M. Arfan Ikram

Publication year - 2016

Publication title -

stroke

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.397

H-Index - 319

eISSN - 1524-4628

pISSN - 0039-2499

DOI - 10.1161/strokeaha.116.014651

Subject(s) - medicine , stroke (engine) , population , white matter , cardiology , magnetic resonance imaging , radiology , mechanical engineering , environmental health , engineering

The presence of subclinical vascular brain disease, including white matter lesions and lacunar infarcts, substantially increases the risk of clinical stroke. White matter microstructural integrity is considered an earlier, potentially better, marker of the total burden of vascular brain disease. Its association with risk of stroke, a focal event, remains unknown.

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