Identifying patients with acute ischemic stroke within a 6-h window for the treatment of endovascular thrombectomy using deep learning and perfusion imaging.

Hongyu Gao, Yueyan Bian,Gen Cheng,Huan Yu,Yuze Cao,Huixue Zhang,Jianjian Wang,Qian Li,Qi Yang,Lihua Wang

Frontiers in medicine（2023）

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摘要

The CNN classifier trained by CBF, Tmax, and ROI masks of Tmax > 6 s had good performance in identifying patients with AIS within a 6-h window for the treatment of EVT. The current study indicates that the CNN model has potential to be used to accurately estimate the stroke onset time of patients with WUS.

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关键词

acute ischemic stroke,deep learning,endovascular thrombectomy,perfusion imaging,stroke onset time

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