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

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. Intervent...

Full description

Saved in:
Bibliographic Details
Published inJournal of cerebral blood flow and metabolism Vol. 36; no. 6; pp. 998 - 1003
Main Authors Walcott, Brian P, Reinshagen, Clemens, Stapleton, Christopher J, Choudhri, Omar, Rayz, Vitaliy, Saloner, David, Lawton, Michael T
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.06.2016
Subjects
Cerebrovascular Circulation - physiology
Computer Simulation - utilization
Disease Management
Hemodynamics - physiology
Humans
Intracranial Aneurysm - diagnosis
Intracranial Aneurysm - physiopathology
Intracranial Aneurysm - therapy
Mini-Review
Risk Assessment
bypass
modeling
computational fluid dynamics
stroke
Aneurysm
stenting
Online AccessGet full text
ISSN0271-678X
1559-7016
DOI10.1177/0271678X16641125

Cover

More Information
Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-1
ObjectType-Article-1
ObjectType-Feature-2
Brian P Walcott and Clemens Reinshagen made equal contribution.
ISSN:0271-678X
1559-7016
DOI:10.1177/0271678X16641125