Automated quantitative lesion water uptake in acute stroke is a predictor of malignant cerebral edema.

JiaQian ShiHang WuZheng DongXianXian LiangQuanHui LiuWusheng ZhuChangSheng ZhouMengJie LuJia LiuXiaoQin SuGuang Ming LuXiaoQing Cheng

Published in: European radiology (2022)

• The automated-ASPECTS technique can automatically detect the affected regions with early ischemic changes and NWU could be manually calculated. • The CTA-ASPECTS-NWU performs better than the NECT-ASPECTS-NWU on predicting the development of MCE. • The multivariable logistic regression model may enhance the identification of patients with MCE needing anti-edematous treatment.

Keyphrases

deep learning
machine learning
high throughput
subarachnoid hemorrhage
high resolution
cerebral ischemia
ischemia reperfusion injury
mass spectrometry
brain injury
oxidative stress