Novel and Efficient Quantitative Posterior-Circulation-Structure-Based Scale via Noncontrast CT to Predict Ischemic Stroke Prognosis: A Retrospective Study

Novel and Efficient Quantitative Posterior-Circulation-Structure-Based Scale via Noncontrast CT to Predict Ischemic Stroke Prognosis: A Retrospective Study

(1) Background: Posterior circulation ischemic stroke has high mortality and disability rates and requires an early prediction prognosis to provide the basis for an interventional approach. Current quantitative measures are only able to accurately assess the prognosis of patients using magnetic reso...

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Bibliographic Details
Main Authors: Wen-Hui Fang, Ying-Chu Chen, Ming-Chen Tsai, Pi-Shao Ko, Ding-Lian Wang, Sui-Lung Su
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Journal of Personalized Medicine
Subjects:
posterior circulation ischemic stroke
deep learning
noncontrast CT
pc-ASPECTS
Online Access:https://www.mdpi.com/2075-4426/12/2/138

Internet

https://www.mdpi.com/2075-4426/12/2/138

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