Predicting the tissue outcome of acute ischemic stroke from acute 4d computed tomography perfusion imaging using temporal features and deep learning

HIGHLIGHTS

SUMMARY

Accordingly, Large-scale clinical trials (Lansberg et_al, 2012; Goyal et_al, 2016; Desai et_al, 2018) and medical practitioners (Powers et_al, 2018) use patients` core and penumbral tissue volumes to determine whether the potential tissue salvage associated with the use of a therapeutic device justifies the cost and potential risks of treatment. Applying the same set of thresholds across the whole brain of all patients fails to account for patient-specific (Eilaghi et_al, 2014; d`Esterre et_al, 2015; Ernst et_al, 2015; Bahouth et_al, 2018; Winder et_al, 2019) and tissue-specific (Payabvash et_al, 2011; Chen et_al, 2019 . . .

 



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