Associations of Clinical Stroke Misclassification ('Clinical-Imaging Dissociation') in Acute Ischemic Stroke

被引:56
作者
Potter, Gillian [1 ]
Doubal, Fergus [1 ]
Jackson, Caroline [1 ]
Sudlow, Cathie [1 ]
Dennis, Martin [1 ]
Wardlaw, Joanna [1 ]
机构
[1] Univ Edinburgh, Western Gen Hosp, Dept Clin Neurosci, SFC Brain Imaging Res Ctr, Edinburgh EH4 2XU, Midlothian, Scotland
基金
英国惠康基金;
关键词
Acute ischemic stroke; Stroke subtype; Infarction; Acute stroke imaging; Diffusion-weighted imaging; DIFFUSION-WEIGHTED MRI; COMPUTED-TOMOGRAPHY; LACUNAR STROKE; PROJECT CLASSIFICATION; CEREBRAL INFARCTION; MINOR STROKE; SUBTYPES; ABNORMALITIES; BRAIN;
D O I
10.1159/000286342
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: Up to 20% of lacunar infarcts are clinically misdiagnosed as cortical infarcts and vice versa. The reasons for this discrepancy are unclear. We assessed clinical and imaging features which might explain this 'clinical-imaging dissociation' (C-ID). Methods: Patients with an acute stroke syndrome (cortical or lacunar) underwent magnetic resonance imaging including diffusion-weighted imaging (DWI). We recorded DWI-positive infarcts and proximity to cortex for small subcortical infarcts. We examined factors associated with C-ID. Results: 137 patients with a mild cortical or lacunar syndrome had an acute ischemic lesion on DWI. Of these, 21/93 (23%) with a cortical syndrome had an acute lacunar infarct and 7/44 (16%) with a lacunar syndrome had an acute cortical infarct. From 72 patients with an acute lacunar infarct on DWI, lesion proximity to cortex (odds ratio (OR) 14.5, 95% confidence interval (CI) 1.61-130.1), left hemisphere location (OR 8.95, 95% CI 1.23-64.99) and diabetes (OR 17.1, 95% CI 1.49-196.16) predicted C-ID. On multivariate analysis of all 137 patients, C-ID was associated with diabetes (OR 7.12, 95% CI 1.86-27.2). Conclusions: C-ID occurs in a fifth of patients with mild stroke. Lacunar infarcts lying close to cortex are more likely to cause cortical symptoms. Diabetes is associated with any clinical-imaging mismatch. Stroke misclassification which can arise with clinical classification alone should be minimized in research by verification with high-sensitivity imaging. Copyright (C) 2010 S. Karger AG, Basel
引用
收藏
页码:395 / 402
页数:8
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