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

Authors

Brian P. Walcott, Department of Neurological Surgery, University of California, San Francisco, USA brian.walcott@gmail.com brian.walcott@ucsf.edu.
Clemens Reinshagen, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, USA.
Christopher J. Stapleton, Department of Neurological Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, USA.
Omar Choudhri, Department of Neurological Surgery, University of California, San Francisco, USA.
Vitaliy Rayz, College of Engineering and Applied Science, University of Wisconsin, Milwaukee, USA Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, USA.
David Saloner, Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA.
Michael T. Lawton, Department of Neurological Surgery, University of California, San Francisco, USA.Follow

Document Type

Article

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.

Medical Subject Headings

Cerebrovascular Circulation (physiology); Computer Simulation (statistics & numerical data); Disease Management; Hemodynamics (physiology); Humans; Intracranial Aneurysm (diagnosis, physiopathology, therapy); Risk Assessment

Publication Date

3-25-2016

Publication Title

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism

E-ISSN

1559-7016

Volume

36

Issue

6

First Page

998

Last Page

1003

PubMed ID

27009946

Digital Object Identifier (DOI)

10.1177/0271678X16641125

Recommended Citation

Walcott, Brian P.; Reinshagen, Clemens; Stapleton, Christopher J.; Choudhri, Omar; Rayz, Vitaliy; Saloner, David; and Lawton, Michael T., "Predictive modeling and in vivo assessment of cerebral blood flow in the management of complex cerebral aneurysms" (2016). Neurosurgery. 1146.
https://scholar.barrowneuro.org/neurosurgery/1146