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Clinical application of brain perfusion imaging in detecting stroke mimics: A review.

Authors :
Khalili N
Wang R
Garg T
Ahmed A
Hoseinyazdi M
Sair HI
Luna LP
Intrapiromkul J
Deng F
Yedavalli V
Source :
Journal of neuroimaging : official journal of the American Society of Neuroimaging [J Neuroimaging] 2023 Jan; Vol. 33 (1), pp. 44-57. Date of Electronic Publication: 2022 Oct 07.
Publication Year :
2023

Abstract

Stroke mimics constitute a significant proportion of patients with suspected acute ischemic stroke. These conditions may resemble acute ischemic stroke and demonstrate abnormalities on perfusion imaging sequences. The most common stroke mimics include seizure/epilepsy, migraine with aura, brain tumors, functional disorders, infectious encephalopathies, Wernicke's encephalopathy, and metabolic abnormalities. Brain perfusion imaging techniques, particularly computed tomography perfusion and magnetic resonance perfusion, are being widely used in routine clinical practice for treatment selection in patients presenting with large vessel occlusion. At the same time, the utilization of these imaging modalities enables the opportunity to better diagnose patients with stroke mimics in a time-sensitive setting, leading to appropriate management, decision-making, and resource allocation. In this review, we describe patterns of perfusion abnormalities that could discriminate patients with stroke mimics from those with acute ischemic stroke and provide specific case examples to illustrate these perfusion abnormalities. In addition, we discuss the challenges associated with interpretation of perfusion images in stroke-related pathologies. In general, perfusion imaging can provide additional information in some cases-when used in combination with conventional magnetic resonance imaging and computed tomography-and might help in detecting stroke mimics among patients who present with acute onset focal neurological symptoms.<br /> (© 2022 American Society of Neuroimaging.)

Details

Language :
English
ISSN :
1552-6569
Volume :
33
Issue :
1
Database :
MEDLINE
Journal :
Journal of neuroimaging : official journal of the American Society of Neuroimaging
Publication Type :
Academic Journal
Accession number :
36207276
Full Text :
https://doi.org/10.1111/jon.13061