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Automated Estimation of Quantitative Lesion Water Uptake as a Prognostic Biomarker for Patients with Ischemic Stroke and Large-Vessel Occlusion.

Shan-Shan LuR R WuY Z CaoXiao-Quan XuZhen-Yu JiaHai-Bin ShiSheng LiuFei-Yun Wu
Published in: AJNR. American journal of neuroradiology (2022)
ASPECTS-net water uptake could independently predict 90-day neurologic outcomes in patients with acute ischemic stroke and large-vessel occlusion. Integrating ASPECTS-net water uptake with clinical models could improve the efficiency of outcome stratification.
Keyphrases
  • acute ischemic stroke
  • machine learning
  • deep learning
  • atrial fibrillation
  • single cell