Predictive modeling and in vivo assessment of cerebral blood flow in the management of complex cerebral aneurysms

Author:

Walcott Brian P1,Reinshagen Clemens2,Stapleton Christopher J3,Choudhri Omar1,Rayz Vitaliy45,Saloner David6,Lawton Michael T1

Affiliation:

1. Department of Neurological Surgery, University of California, San Francisco, USA

2. Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, USA

3. Department of Neurological Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, USA

4. College of Engineering and Applied Science, University of Wisconsin, Milwaukee, USA

5. Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, USA

6. Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA

Abstract

Cerebral aneurysms are weakened blood vessel dilatations that can result in spontaneous, devastating hemorrhage events. Aneurysm treatment aims to reduce hemorrhage events, and strategies for complex aneurysms often require surgical bypass or endovascular stenting for blood flow diversion. Interventions that divert blood flow from their normal circulation patterns have the potential to result in unintentional ischemia. Recent developments in computational modeling and in vivo assessment of hemodynamics for cerebral aneurysm treatment have entered into clinical practice. Herein, we review how these techniques are currently utilized to improve risk stratification and treatment planning.

Publisher

SAGE Publications

Subject

Cardiology and Cardiovascular Medicine,Clinical Neurology,Neurology

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