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A Thrombectomy Model Based on Ex Vivo Whole Human Brains
- Source :
- AJNR. American journal of neuroradiology, vol 42, iss 11, AJNR Am J Neuroradiol
- Publication Year :
- 2021
- Publisher :
- American Society of Neuroradiology (ASNR), 2021.
-
Abstract
- BACKGROUND AND PURPOSE: The persistent challenges in thrombectomy for large-vessel occlusion, such as suboptimal complete recanalization and first-pass effect imply an insufficient understanding of the artery-clot-device interaction. In this study, we present a thrombectomy model using fresh human brains, which can capture the artery-clot-device interaction through concurrent transmural and angiographic visualizations. MATERIALS AND METHODS: Fresh nonfrozen whole adult human brains were collected and connected to a customized pump system tuned to deliver saline flow at a physiologic flow rate and pressure. Angiography was performed to verify the flow in the anterior-posterior and vertebrobasilar circulations and collaterals. Large-vessel occlusion was simulated by embolizing a radiopaque clot analog. Thrombectomy was tested, and the artery-clot-device interactions were recorded by transmural and angiographic videos. RESULTS: Baseline cerebral angiography revealed excellent penetration of contrast in the anterior-posterior and vertebrobasilar circulations without notable arterial cutoffs and with robust collaterals. Small branches (
- Subjects :
- medicine.medical_specialty
Clinical Sciences
Bioengineering
Embolization
Internal medicine
Occlusion
medicine
Humans
Radiology, Nuclear Medicine and imaging
Thrombectomy
Interventional
medicine.diagnostic_test
business.industry
Neurosciences
Brain
Thrombosis
Embolization, Therapeutic
Stroke
Nuclear Medicine & Medical Imaging
Treatment Outcome
Angiography
Cardiology
Neurology (clinical)
Therapeutic
business
Ex vivo
Cerebral angiography
Subjects
Details
- ISSN :
- 1936959X and 01956108
- Volume :
- 42
- Database :
- OpenAIRE
- Journal :
- American Journal of Neuroradiology
- Accession number :
- edsair.doi.dedup.....fea1fdb990e3b08d37831ef549220ad7
- Full Text :
- https://doi.org/10.3174/ajnr.a7291