Computed Tomography-Based Imaging Algorithms for Patient

Neuroimaging Clin. N. Am. · May 2021

Review

Computed Tomography-Based Imaging Algorithms for Patient Selection in Acute Ischemic Stroke.

Computed tomography remains the most widely used imaging modality for evaluating patients with acute ischemic stroke. Landmark trials have used computed tomography imaging to select patients for intravenous thrombolysis and endovascular treatment. This review summarizes the most important acute ischemic stroke trials, provides an outlook of ongoing studies, and proposes possible image algorithms for patient selection. Although evaluation with anatomic computed tomography imaging techniques is sufficient in early window patients, more advanced imaging techniques should be used beyond 6 hours from symptoms onset to quantify the ischemic core and evaluate for the salvageable penumbra.

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- Benjamin Pulli, Jeremy J Heit, and Max Wintermark.
- Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford Healthcare, 300 Pasteur Drive, Stanford, CA 94305, USA.
- Neuroimaging Clin. N. Am. 2021 May 1; 31 (2): 235-250.
AbstractComputed tomography remains the most widely used imaging modality for evaluating patients with acute ischemic stroke. Landmark trials have used computed tomography imaging to select patients for intravenous thrombolysis and endovascular treatment. This review summarizes the most important acute ischemic stroke trials, provides an outlook of ongoing studies, and proposes possible image algorithms for patient selection. Although evaluation with anatomic computed tomography imaging techniques is sufficient in early window patients, more advanced imaging techniques should be used beyond 6 hours from symptoms onset to quantify the ischemic core and evaluate for the salvageable penumbra.Copyright © 2020 Elsevier Inc. All rights reserved.

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Computed Tomography-Based Imaging Algorithms for Patient Selection in Acute Ischemic Stroke.

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