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Flow diversion: what can clinicians learn from animal models?
Robert Fahed1, Tim E Darsaut2, Jean-Christophe Gentric3
1Notre-Dame Hospital Research Centre (CRCHUM), Laboratory of Interventional Neuroradiology, Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada.
Neuroradiology
|March 1, 2017
Summary
Flow diversion effectiveness for intracranial aneurysms depends on aneurysm size and shape. Device porosity and neointima formation influence outcomes, with animal models predicting clinical results.
Area of Science:
- Biomedical Engineering
- Neurosurgery
- Medical Devices
Background:
- Flow diversion is a growing treatment for intracranial aneurysms.
- Animal models provide valuable insights into device performance.
Purpose of the Study:
- Review evidence from animal models on flow diversion for intracranial aneurysms.
- Identify factors influencing treatment success and risks.
Main Methods:
- Systematic review of studies (2000-2016).
- Extracted data on aneurysm characteristics, device properties, and outcomes.
- Focused on aneurysm dimension, morphology, vascular geometry, device porosity, and jailed branch occlusion.
Main Results:
- Flow diversion is less effective for large aneurysms with wide necks.
- Straight sidewall aneurysms treated more successfully than curved or bifurcation types.
- Device porosity and neointima formation impact occlusion; lower porosity did not improve challenging cases.
- Jailed branches rarely occluded, and persistent flow can hinder aneurysm occlusion.
Conclusions:
- Experimental models can help predict clinical outcomes of flow diversion therapy.
- Aneurysm and device characteristics are critical for successful flow diversion.
