Acute stroke patterns in patients with internal carotid artery disease - Adiffusion-weighted magnetic resonance imaging study

Citation
K. Szabo et al., Acute stroke patterns in patients with internal carotid artery disease - Adiffusion-weighted magnetic resonance imaging study, STROKE, 32(6), 2001, pp. 1323-1329
Citations number
35
Categorie Soggetti
Neurology,"Cardiovascular & Hematology Research
Journal title
STROKE
ISSN journal
00392499 → ACNP
Volume
32
Issue
6
Year of publication
2001
Pages
1323 - 1329
Database
ISI
SICI code
0039-2499(200106)32:6<1323:ASPIPW>2.0.ZU;2-G
Abstract
Background and Purpose - Diffusion-weighted (DW) MRI is a sensitive method that facilitates early stroke pattern identification. There are limited dat a about the influence of stenosis grade on the development of particular st roke patterns in internal carotid artery (ICA) disease. We therefore invest igated the lesion patterns on DW MRI in acute stroke patients with ICA dise ase. Methods - DW MRI was analyzed in 102 consecutive acute stroke patients with different degrees of ipsilateral ICA. disease. Patients were assigned to 1 of 5 observed lesion patterns: (1) territorial ischemia, (2) subcortical i schemia without or (3) with embolus fragmentation, (4) disseminated lesions in distal cortical regions, and (5) multiple lesions in hemodynamic risk z ones. In addition, perfusion-weighted (PW) MRI and MR angiography informati on was included in the assessment, Results - All patterns were observed in the different stages of ICA disease . Half of the patients with high-grade or subtotal stenosis had lesions in hemodynamic risk zones. Territorial stroke occurred in 47.6% of patients wi th ICA occlusion. Statistical analysis showed a significant relationship be tween the degree of stenosis and the observed stroke pattern (P=0.001). In 77.8% of patients exhibiting high-grade ICA stenosis, subtotal stenosis, or occlusion, the perfusion lesion was larger than the diffusion lesion (PW/D W mismatch). Conclusions - Although in the individual patient any of the infarct pattern s may occur, in statistical terms the incidence of a particular stroke patt ern is clearly dependent on the degree of stenosis.