Document Detail


The classic lacunar syndromes: clinical and neuroimaging correlates.
MedLine Citation:
PMID:  18452543     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
BACKGROUND: Although lacunar syndromes (LSs) are aimed to be linked to lacunar infarcts, the relation between both is still not very well defined. PURPOSE: The present retrospective study tries to define more specifically the clinical and the neuroimaging characteristics of the five most classic LSs. PATIENTS AND METHODS: Out of a series of 1617 consecutive stroke patients, admitted to the Ghent University Hospital, 293 presented a classic LS. Magnetic resonance imaging (MRI) with diffusion-weighted imaging (DWI) was performed within 5 days after stroke onset in 227 patients. An acute territorial infarct was demonstrated in 54 patients. The study population finally consisted of 173 patients with a classic LS in whom the responsible lacune was demonstrated or in the absence of another type of infarct. RESULTS: The responsible lacune was demonstrated with DWI in 104 patients. Pure motor stroke (MS) correlated significantly with the presence of the responsible lacune in the internal capsule (P = 0.000147) and with the stroke severity (P = 0.00724). No significant correlation was observed between the location of the lacunes and the other LS's. CONCLUSION: Pure MS has to be considered as the most specific lacunar syndrome.
Authors:
J De Reuck; L De Groote; G Van Maele
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Publication Detail:
Type:  Journal Article     Date:  2008-04-29
Journal Detail:
Title:  European journal of neurology : the official journal of the European Federation of Neurological Societies     Volume:  15     ISSN:  1468-1331     ISO Abbreviation:  Eur. J. Neurol.     Publication Date:  2008 Jul 
Date Detail:
Created Date:  2008-06-27     Completed Date:  2008-08-12     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9506311     Medline TA:  Eur J Neurol     Country:  England    
Other Details:
Languages:  eng     Pagination:  681-4     Citation Subset:  IM    
Affiliation:
Stroke Unit, Department of Neurology, University Hospital, Ghent, Belgium. dereuck.j@gmail.com
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MeSH Terms
Descriptor/Qualifier:
Brain Infarction / classification*,  pathology*,  physiopathology
Humans
Magnetic Resonance Imaging*
Retrospective Studies
Risk Factors

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