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PMID: 20150312 Published · ppublish English Case Reports Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Blood-flow characteristics in a terminal basilar tip aneurysm prior to its fatal rupture.

AJNR. American journal of neuroradiology ·Vol. 31 ·No. 6 ·2010-06-00 ·页码 1127-31

Sforza DM, Putman CM, Scrivano E, Lylyk P, Cebral JR

Abstract

The development and validation of methods to stratify the risk of rupture of cerebral aneurysms is highly desired because current treatment risks can exceed the natural risk of rupture. Because unruptured aneurysms are typically treated before they rupture, it is very difficult to connect the proposed risk indices to the rupture of an individual aneurysm. The purpose of this case study was to analyze the hemodynamic environment of a saccular aneurysm of the terminal morphology subtype that was imaged just before its rupture and to test whether the hemodynamic characteristics would designate this particular aneurysm as at high risk. A patient-specific CFD model was constructed from 3DRA images acquired just hours before the aneurysm ruptured. A pulsatile flow calculation was performed, and hemodynamic characteristics previously connected to rupture were analyzed. It was found that the aneurysm had a concentrated inflow stream, small impingement region, complex intra-aneurysmal flow structure, asymmetric flow split from the parent vessel to the aneurysm and daughter branches, and high levels of aneurysmal WSS near the impaction zone. The hemodynamic characteristics observed in this aneurysm right before its rupture are consistent with previous studies correlating aneurysm rupture and hemodynamic patterns in saccular and terminal aneurysms. This study supports the notion that hemodynamic information may be used to help stratify the rupture risk of cerebral aneurysms.

MeSH 主题词
Aneurysm, Ruptured/diagnostic imaging,epidemiology,physiopathology Cerebral Angiography Cerebrovascular Circulation Fatal Outcome Female Humans Intracranial Aneurysm/diagnostic imaging,epidemiology,physiopathology Middle Aged Models, Cardiovascular Risk Factors Subarachnoid Hemorrhage/diagnostic imaging,epidemiology,physiopathology Tomography, X-Ray Computed
作者与单位
共 5 位作者,点击展开单位 / ORCID
Sforza D M
Department of Computational and Data Sciences, Center for Computational Fluid Dynamics, George Mason University, 4400 University Drive, Fairfax, VA 22030, USA.
Putman C M
Scrivano E
Lylyk P
Cebral J R
Article Info
Journal
AJNR. American journal of neuroradiology
Abbr.
AJNR Am J Neuroradiol
ISSN
1936-959X
Published
2010-06-00
电子出版
2010-00-11
页码
1127-31
Language
English
Country/Region
United States
NLM ID
8003708
基金资助
NINDS NIH HHS · R01 NS059063 · United States
NINDS NIH HHS · R01 NS059063-03 · United States
NINDS NIH HHS · R01 NS 059063 · United States
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