Peer-reviewed veterinary case report
How stroke damage grows in dogs after artery blockage
By Shazeeb, Mohammed Salman et al.·Published in Translational stroke research·2020·Department of Radiology, United States·View original on PubMed →
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Original publication title: Infarct Evolution in a Large Animal Model of Middle Cerebral Artery Occlusion.
- Species:
- dog
Plain-English summary
This study looked at how strokes develop in dogs, specifically focusing on the middle cerebral artery, which is similar to strokes in humans. It found that some dogs experience a quick growth of the stroke area, while others have parts of the brain that could still be saved even hours after the blockage. Researchers believe that understanding these differences can help create better treatments for strokes. They also tested a new imaging technique using MRI that can help predict how quickly a stroke will grow in dogs, which could improve future research on stroke interventions. Overall, the findings suggest that this dog model is useful for studying strokes and developing new therapies.
Abstract
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.
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Search related cases →Original publication on PubMed: https://pubmed.ncbi.nlm.nih.gov/31478129/