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Faculty of Medicine
Document Details
Document Type
:
Article In Journal
Document Title
:
Prediction of Infarct Topography Using the Oxfordshire Community Stroke Project Classification of Stroke Subtypes.
تصنيف الشلل النصفى سريريا .
Document Language
:
English
Abstract
:
Background: The Oxfordshire Community Stroke Project clinical classification of ischemic stroke syndromes has been shown to be predictive of important clinical outcomes, In this study, we examined the correlation between this dassification system and infarct topography on computed tomography (CT) of the brain. Method: A cohort of consecutive cases of acute ischemic stroke admitted to an acute stroke service during the 3-year period ending December 31, 1996 were identified from a prospective stroke registry. Brain scans were reviewed by a single neuroradiologist without knowledge of the clinical featu~s. Results: There were 418 patients with acute ischemic stroke who met the study admission criteria. Forty patients were excluded, 20 (5%) did not have a CT scan during the admission, and 20 scans were not available for review. In 239 of 378 patients (63%), the brain scan revealed the lesion responsible for the clinical syndrome. In patients with positive scans, the positive predictive values of the clinical subtypes were: 86% (95% confidence interval 78-94) for the total anterior territory stroke syndrome, 96% (92-100) for the partial anterior territory stroke syndrome, 99% (97-100) for the lacunar stroke syndrome, and 100% for the posterior circulation stroke syndrome. Conclusion: The Oxfordshire Community Stroke Project classification of ischemic stroke syndromes usefully predicts infarct topography on CT scan.
ISSN
:
3189-4528
Journal Name
:
Journal of Stroke and cerebrovascular Disorders
Volume
:
5
Issue Number
:
7
Publishing Year
:
1998 AH
1998 AD
Article Type
:
Article
Added Date
:
Saturday, March 13, 2010
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
محمد جان
jan, Mohammed
Researcher
Doctorate
Files
File Name
Type
Description
25948.doc
doc
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