Endovascular external carotid artery occlusion for brain selective targeting: a cerebrovascular swine model

Sundeep Mangla1, Jae H Choi2,3, Frank C Barone4

  • 1Division of Interventional Neuroradiology, SUNY Downstate Medical Center, 470 Clarkson Ave, B7525, Brooklyn, NY, 11203, USA. sundeep.mangla@gmail.com.

BMC Research Notes
|December 23, 2015
PubMed
Abstract

Insights

Researchers modified a swine model to improve brain blood flow for cerebrovascular research. This enhanced model offers a cost-effective alternative for testing new therapies and devices targeting the brain.

Area of Science:

  • Comparative anatomy
  • Animal models in research
  • Cerebrovascular physiology

Background:

  • Choosing animal models for cerebrovascular research depends on disease subtype and intervention type.
  • Small animals are cost-effective but primates are used for validation, though expensive.
  • Swine and sheep offer an intermediate option, but their cerebrovascular anatomy presents challenges.

Purpose of the Study:

  • To describe a modification of the traditional swine cerebrovascular model.
  • To enhance selective brain hemispheric perfusion by limiting external carotid artery perfusion.
  • To create a more accurate model for human cerebral circulation.

Main Methods:

  • Unilateral endovascular coil-embolization of external carotid artery branches in swine.
  • Injection of cold saline into the ipsilateral common carotid artery before and after embolization.
  • Measurement of hemispheric temperature changes to assess brain perfusion.

Main Results:

  • A 288% increase in ipsilateral brain cooling was observed after embolization.
  • This indicates improved selective blood flow to the brain.
  • The modification enhanced selective brain hemispheric perfusion.

Conclusions:

  • An effective and selective swine vascular brain model was developed.
  • This model can serve as a practical, cost-reducing intermediate step.
  • It is useful for evaluating drug dose-responses and brain-selective interventions.

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