| Multiphasic Perfusion Computed Tomography as a Predictor of Collateral Flow in Acute Ischemic Stroke: Comparison with Digital Subtraction Angiography. | |
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MedLine Citation:
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PMID: 22441110 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Background: Assessing collateral status is important in acute ischemic stroke. The purpose of this study was to compare multiphasic perfusion computed tomography (MPCT) with digital subtraction angiography (DSA) in predicting leptomeningeal collateral flow in acute middle cerebral artery (MCA) infarction. Methods: Consecutive patients underwent MPCT and DSA for acute MCA infarction that presented within 6 h of symptom onset. We included patients who showed MCA occlusion in the same location on both modalities and assessed the agreement rate and correlation between the MPCT and DSA collateral grades. Results: Of 54 patients, 44 (81.5%) had proximal MCA (M1) occlusions and 10 (18.5%) had distal MCA (M2) occlusions based on MPCT and DSA. The κ-coefficients were 0.87 and 0.81 in the MPCT and DSA collateral grade systems, respectively. Forty-four patients (81.5%) belonged to the same category in both collateral-grading systems. MPCT collateral grades correlated positively with those of DSA (Spearman's correlation coefficient 0.827, p < 0.001). Conclusion: Our data show that MPCT can predict leptomeningeal collateral flow in acute ischemic stroke. Based on collateral status assessed by MPCT, different therapeutic approaches might be warranted. |
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Authors:
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Suk Jae Kim; Hyun Jin Noh; Cindy W Yoon; Keon Ha Kim; Pyoung Jeon; Oh Young Bang; Gyeong-Moon Kim; Chin-Sang Chung; Kwang Ho Lee |
Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-3-21 |
Journal Detail:
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Title: European neurology Volume: 67 ISSN: 1421-9913 ISO Abbreviation: - Publication Date: 2012 Mar |
Date Detail:
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Created Date: 2012-3-23 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0150760 Medline TA: Eur Neurol Country: - |
Other Details:
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Languages: ENG Pagination: 252-255 Citation Subset: - |
Copyright Information:
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Copyright © 2012 S. Karger AG, Basel. |
Affiliation:
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Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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