Infarct Evolution in a Large Animal Model of Middle Cerebral Artery Occlusion
Authors
Shazeeb, Mohammed S.King, Robert M.
Brooks, Olivia W.
Puri, Ajit S.
Henninger, Nils
Boltze, Johannes
Gounis, Matthew J.
UMass Chan Affiliations
Department of NeurologyImage Processing and Analysis Core, Department of Radiology
New England Center for Stroke Research, Department of Radiology
Document Type
Journal ArticlePublication Date
2020-06-01Keywords
DogInfarct growth rate
Middle cerebral artery occlusion
Perfusion MRI
Stroke
Time-to-peak
Cardiovascular Diseases
Nervous System Diseases
Neurology
Radiology
Translational Medical Research
Metadata
Show full item recordAbstract
Mechanical thrombectomy for the treatment of ischemic stroke shows high rates of recanalization; however, some patients still have a poor clinical outcome. A proposed reason for this relates to the fact that the ischemic infarct growth differs significantly between patients. While some patients demonstrate rapid evolution of their infarct core (fast evolvers), others have substantial potentially salvageable penumbral tissue even hours after initial vessel occlusion (slow evolvers). We show that the dog middle cerebral artery occlusion model recapitulates this key aspect of human stroke rendering it a highly desirable model to develop novel multimodal treatments to improve clinical outcomes. Moreover, this model is well suited to develop novel image analysis techniques that allow for improved lesion evolution prediction; we provide proof-of-concept that MRI perfusion-based time-to-peak maps can be utilized to predict the rate of infarct growth as validated by apparent diffusion coefficient-derived lesion maps allowing reliable classification of dogs into fast versus slow evolvers enabling more robust study design for interventional research.Source
Shazeeb MS, King RM, Brooks OW, Puri AS, Henninger N, Boltze J, Gounis MJ. Infarct Evolution in a Large Animal Model of Middle Cerebral Artery Occlusion. Transl Stroke Res. 2020 Jun;11(3):468-480. doi: 10.1007/s12975-019-00732-9. Epub 2019 Sep 3. PMID: 31478129; PMCID: PMC7051891. Link to article on publisher's site
DOI
10.1007/s12975-019-00732-9Permanent Link to this Item
http://hdl.handle.net/20.500.14038/48548PubMed ID
31478129Related Resources
ae974a485f413a2113503eed53cd6c53
10.1007/s12975-019-00732-9