2018
DOI: 10.1002/aic.16091
|View full text |Cite
|
Sign up to set email alerts
|

Impact of diversity of morphological characteristics and Reynolds number on local hemodynamics in basilar aneurysms

Abstract: Morphological and hemodynamic parameters have been suggested to affect the rupture of cerebral aneurysms, but detailed mechanisms of rupture are poorly understood. The purpose of our study is to determine criteria for predicting the risk of aneurysm rupture, which is critical for improved patient management. Existing aneurysm hemodynamics studies generally evaluate limited geometries or Reynolds numbers (Re), which are difficult to apply to a wide range of patient‐specific cases. Association between hemodynami… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2019
2019
2019
2019

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 42 publications
0
1
0
Order By: Relevance
“…Figure 2 shows a schematic of the different parameters determining the level of IA CFD model complexity, as explained henceforth. Ideal models are often based on assumed geometry with anatomically relevant dimensions used to study the morphological patterns [129][130][131][132][133] and Neuroendovascular device efficacy. 134,135 Some of the ideal model geometries are actually constructed from averaging of patientspecific dimensions across a specific population to compare the relevance of gender, 136 morphology 137 or complex cases of IA.…”
Section: Classification Of Ia Cfd Modelsmentioning
confidence: 99%
“…Figure 2 shows a schematic of the different parameters determining the level of IA CFD model complexity, as explained henceforth. Ideal models are often based on assumed geometry with anatomically relevant dimensions used to study the morphological patterns [129][130][131][132][133] and Neuroendovascular device efficacy. 134,135 Some of the ideal model geometries are actually constructed from averaging of patientspecific dimensions across a specific population to compare the relevance of gender, 136 morphology 137 or complex cases of IA.…”
Section: Classification Of Ia Cfd Modelsmentioning
confidence: 99%