A canine model of mechanical thrombectomy in stroke.
J Neurointerv Surg
; 11(12): 1243-1248, 2019 Dec.
Article
em En
| MEDLINE
| ID: mdl-31103992
ABSTRACT
PURPOSE:
To develop a preclinical model of stroke with a large vessel occlusion treated with mechanical thrombectomy. MATERIALS ANDMETHODS:
An ischemic stroke model was created in dogs by the introduction of an autologous clot into the middle cerebral artery (MCA). A microcatheter was navigated to the clot and a stent retriever thrombectomy was performed with the goal to achieve Thrombolysis in Cerebral Ischemia (TICI) 2b/3 reperfusion. Perfusion and diffusion MRI was acquired after clot placement and following thrombectomy to monitor the progression of restricted diffusion as well as changes in ischemia as a result of mechanical thrombectomy. Post-mortem histology was done to confirm MCA territory infarct volume.RESULTS:
Initial MCA occlusion with TICI 0 flow was documented in all six hound-cross dogs entered into the study. TICI 2b/3 revascularization was achieved with one thrombectomy pass in four of six animals (67%). Intra-procedural events including clot autolysis leading to spontaneous revascularization (n=1) and unresolved vasospasm (n=1) accounted for thrombectomy failure. In one case, iatrogenic trauma during microcatheter navigation resulted in a direct arteriovenous fistula at the level of the cavernous carotid. Analysis of MRI indicated that a volume of tissue from the initial perfusion deficit was spared with reperfusion following thrombectomy, and there was also a volume of tissue that infarcted between MRI and ultimate recanalization.CONCLUSION:
We describe a large animal stroke model in which mechanical thrombectomy can be performed. This model may facilitate, in a preclinical setting, optimization of complex multimodal stroke treatment paradigms for clinical translation.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Isquemia Encefálica
/
Trombectomia
/
Acidente Vascular Cerebral
/
Modelos Animais de Doenças
Idioma:
En
Ano de publicação:
2019
Tipo de documento:
Article