Imaging modalities such as dynamic computed tomography (CT) studies of the brain have aided in clinical management of stroke patients through identification of tissue at risk and tissue infarcted. Such a capability provides the opportunity to intervene in stroke patients previously deemed unfit for thrombectomy, [1] while allowing software engineers to develop modeling tools stratifying the risk and benefit of intervention [2]. One unexpected consequence of these advances is the ability to recognize the neurophysiologic changes associated with stroke mimics such as seizure.
from Journal of the Neurological Sciences https://ift.tt/3gPIREJ
from Journal of the Neurological Sciences https://ift.tt/3gPIREJ
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