Both Infarcted and Noninfarcted Brain Regions Contribute to Deep Learning–Based MRI Prediction of Acute Stroke Outcome
作者
Yongkai Liu,Bin Jiang,Henk van Voorst,Yannan Yu,Shuo Li,Haotian Feng,Z B Zhang,S. Luo,David S. Liebeskind,Michael E. Moseley,Gregory W. Albers,Max Wintermark,Maarten G. Lansberg,Jeremy J. Heit,Greg Zaharchuk
While the best performance came from by using the full brain imaging volume, we demonstrate that the infarct location, its signal characteristics, and importantly, the noninfarcted regions all contribute to the predictions. The noninfarcted areas may be a proxy for overall brain health and resilience, containing important information about potential outcomes.