Login / Signup

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