| Perfusion CT to quantify the cerebral vasospasm following subarachnoid hemorrhage. | |
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MedLine Citation:
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PMID: 20416949 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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BACKGROUND AND PURPOSE: After subarachnoid hemorrhage (SAH), vasospasm is frequent and increases the risk of stroke and poor clinical outcome. The purpose of this study was to identify the best perfusion parameters in perfusion-CT (PCT) able to predict vasospasm diagnosed by angiography after SAH. METHODS: Seventy-six patients with SAH were investigated by PCT and cerebral angiography. Using regions of interest (ROI) on parametric maps of mean transit time (MTT), time to peak (TTP), cerebral blood volume (CBV) and cerebral blood flow (CBF), PCT data were compared to an arteriographic score in two categories (severe vasospasm: ≥50% and non-severe vasospasm: <50%) for each artery. Best PCT predictors of the arteriographic score were tested using multiparametric logistic regression. RESULTS: Among the 76 patients, PCT data were reliable in 65 patients. Twenty-seven patients had a severe vasospasm. Logistic regression showed that MTT was the best predictor of the arteriographic score. Using MTT, odds ratios having a vasospasm were superior to 3.1 and the occurrence of a vasospasm was accurately predicted in 78.5 to 100%, depending on the artery considered. However, no absolute value of the MTT could be identified to predict the occurrence of vasospasm. In fact, abnormal values of MTT ranged from 123 to 221% (m=146%) of the control values. DISCUSSION AND CONCLUSIONS: PCT may accurately identify severe vasospasm and might be used as a convenient noninvasive imaging modality to monitor patients with SAH. When detected, severe vasospasm could be confirmed and managed using angiography and endovascular treatment, appropriately. |
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Authors:
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Virginie Lefournier; Alexandre Krainik; Benjamin Gory; Frédéric Derderian; Pierre Bessou; Bertrand Fauvage; Jean-François Le Bas; Jean-François Payen |
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Publication Detail:
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Type: Journal Article Date: 2010-04-22 |
Journal Detail:
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Title: Journal of neuroradiology. Journal de neuroradiologie Volume: 37 ISSN: 0150-9861 ISO Abbreviation: J Neuroradiol Publication Date: 2010 Dec |
Date Detail:
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Created Date: 2010-12-14 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7705086 Medline TA: J Neuroradiol Country: France |
Other Details:
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Languages: eng Pagination: 284-91 Citation Subset: IM |
Copyright Information:
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Copyright © 2010 Elsevier Masson SAS. All rights reserved. |
Affiliation:
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Department of Neuroradiology, CHU Grenoble, University Joseph-Fourier, BP 217, 38043 Grenoble cedex 9, France. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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