title: Predictive modeling and in vivo assessment of cerebral blood flow in the management of complex cerebral aneurysms.
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.
authors.affiliation: Department of Neurological Surgery, University of California, San Francisco, USA brian.walcott@gmail.com brian.walcott@ucsf.edu.
authors.forename: Brian P
authors.initials: BP
authors.lastname: Walcott
authors.affiliation: Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, USA.
authors.forename: Clemens
authors.initials: C
authors.lastname: Reinshagen
authors.affiliation: Department of Neurological Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, USA.
authors.forename: Christopher J
authors.initials: CJ
authors.lastname: Stapleton
authors.affiliation: Department of Neurological Surgery, University of California, San Francisco, USA.
authors.forename: Omar
authors.initials: O
authors.lastname: Choudhri
authors.affiliation: College of Engineering and Applied Science, University of Wisconsin, Milwaukee, USA Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, USA.
authors.forename: Vitaliy
authors.initials: V
authors.lastname: Rayz
authors.affiliation: Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA.
authors.forename: David
authors.initials: D
authors.lastname: Saloner
authors.affiliation: Department of Neurological Surgery, University of California, San Francisco, USA.
authors.forename: Michael T
authors.initials: MT
authors.lastname: Lawton
mesh_terms: D002560:Cerebrovascular Circulation / Q000502:physiology*; D003198:Computer Simulation / Q000706:statistics & numerical data*; D019468:Disease Management; D006439:Hemodynamics / Q000502:physiology; D006801:Humans; D002532:Intracranial Aneurysm / Q000175:diagnosis / Q000503:physiopathology* / Q000628:therapy; D018570:Risk Assessment
keywords: Aneurysm; bypass; computational fluid dynamics; modeling; stenting; stroke