Automated Collateral Flow Assessment in Patients with Acute Ischemic Stroke Using Computed Tomography with Artificial Intelligence Algorithms.

Journal: World neurosurgery
PMID: 34506979

Abstract

BACKGROUND: Collateral circulation is associated with improved functional outcome in patients with large vessel occlusion acute ischemic stroke (AIS) who undergo reperfusion therapy. Assessment of collateral flow can be time consuming, subjective, and difficult because of complex neurovasculature. This study assessed the ability of multiple artificial intelligence algorithms in determining collateral flow of patients with AIS.

Authors

  • Ryan A Rava
    Department of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, New York, USA.
  • Samantha E Seymour
    Department of Biomedical Engineering, University at Buffalo, Buffalo, New York, USA; Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, New York, USA.
  • Kenneth V Snyder
    Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, New York, USA; Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, USA; Department of Neurosurgery, University at Buffalo, Buffalo, New York, USA.
  • Muhammad Waqas
    Department of Botanical and Environmental Science, Kohat University of Science and Technology, Kohat, 26000, Khyber Pakhtunkhwa, Pakistan.
  • Jason M Davies
    Philip R. Lee Institute for Health Policy Studies, School of Medicine, University of California, San Francisco.
  • Elad I Levy
    Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, New York, USA; Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, USA; Department of Neurosurgery, University at Buffalo, Buffalo, New York, USA.
  • Adnan H Siddiqui
    2Canon Stroke and Vascular Research Center, University at Buffalo, the State University of New York, Buffalo, New York.
  • Ciprian N Ionita
    Department of Medical Physics, University at Buffalo, State University of New York, Buffalo, New York, USA.

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