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Research ArticleBRAIN

CT Angiography for the Detection of Cerebral Vasospasm in Patients with Acute Subarachnoid Hemorrhage

Glenn B. Anderson, Rob Ashforth, David E. Steinke and J. Max Findlay
American Journal of Neuroradiology June 2000, 21 (6) 1011-1015;
Glenn B. Anderson
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Rob Ashforth
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David E. Steinke
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J. Max Findlay
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Article Information

vol. 21 no. 6 1011-1015
PubMed 
10871004

Published By 
American Journal of Neuroradiology
Print ISSN 
0195-6108
Online ISSN 
1936-959X
History 
  • Received August 12, 1999
  • Accepted after revision January 20, 2000
  • Published online June 1, 2000.

Copyright & Usage 
Copyright © American Society of Neuroradiology

Author Information

  1. Glenn B. Andersona,
  2. Rob Ashfortha,
  3. David E. Steinkea and
  4. J. Max Findlaya
  1. aFrom the Divisions of Neurosurgery (G.B.A., D.E.S., J.M.F.) and Diagnostic Imaging (R.A.), University of Alberta, Edmonton, Alberta, Canada.
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American Journal of Neuroradiology
Vol. 21, Issue 6
1 Jun 2000
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CT Angiography for the Detection of Cerebral Vasospasm in Patients with Acute Subarachnoid Hemorrhage
Glenn B. Anderson, Rob Ashforth, David E. Steinke, J. Max Findlay
American Journal of Neuroradiology Jun 2000, 21 (6) 1011-1015;

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CT Angiography for the Detection of Cerebral Vasospasm in Patients with Acute Subarachnoid Hemorrhage
Glenn B. Anderson, Rob Ashforth, David E. Steinke, J. Max Findlay
American Journal of Neuroradiology Jun 2000, 21 (6) 1011-1015;
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Cited By...

  • Reliability of CT Angiography in Cerebral Vasospasm: A Systematic Review of the Literature and an Inter- and Intraobserver Study
  • Delayed Cerebral Ischemia in Aneurysmal Subarachnoid Hemorrhage: Proposal of an Evidence-Based Combined Clinical and Imaging Reference Standard
  • Diagnostic Accuracy of CT Angiography and CT Perfusion for Cerebral Vasospasm: A Meta-Analysis
  • Guidelines for the Management of Aneurysmal Subarachnoid Hemorrhage: A Statement for Healthcare Professionals From a Special Writing Group of the Stroke Council, American Heart Association
  • Current theory in imaging of intracranial vascular disease
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