Deep Learning‐Based Prediction of Final Infarct Core from CT Perfusion Data: A Comparison to the Clinical Standard

Deep Learning‐Based Prediction of Final Infarct Core from CT Perfusion Data: A Comparison to the Clinical Standard

Background In the management of acute ischemic stroke, computed tomography perfusion (CTP) is used to define the ischemic core and penumbra to estimate tissue fate after reperfusion therapy. The core/penumbra dichotomy uses single‐value thresholds, which potentially discards valuable data and oversi...

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Bibliographic Details
Main Authors: Freda Werdiger, Milanka Visser, Chushuang Chen, Christina Lam, James Kolacz, Mark W. Parsons, Longting Lin, Christopher Levi, Andrew Bivard
Format: Article
Language:English
Published: Wiley 2024-11-01
Series:Stroke: Vascular and Interventional Neurology
Subjects:
acute ischemic stroke
artificial intelligence
computed tomography perfusion imaging
deep learning prediction
Online Access:https://www.ahajournals.org/doi/10.1161/SVIN.124.001375
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https://www.ahajournals.org/doi/10.1161/SVIN.124.001375

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