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In Vitro Rearing of Solitary Bees: A Tool for Assessing Larval Risk Factors
Published on: July 16, 2018
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Computational fluid dynamics as a risk assessment tool for aneurysm rupture
Yuichi Murayama1,2, Soichiro Fujimura2,3, Tomoaki Suzuki4
1Departments of1Neurosurgery and.
Neurosurgical Focus
|July 2, 2019
Summary
Computational fluid dynamics (CFD) aids in assessing intracranial aneurysm rupture risk. While controversy exists regarding specific hemodynamic parameters like wall shear stress (WSS), CFD offers valuable clinical insights.
Area of Science:
- Biomedical Engineering
- Medical Imaging
- Cardiovascular Research
Background:
- Intracranial aneurysms pose a significant rupture risk.
- Accurate risk assessment is crucial for patient management.
- Existing methods for rupture risk prediction have limitations.
Purpose of the Study:
- To review the clinical utility of computational fluid dynamics (CFD) in evaluating intracranial aneurysm rupture.
- To analyze the role of hemodynamic parameters derived from CFD in rupture risk assessment.
- To explore the potential of CFD in guiding clinical decisions and endovascular device evaluation.
Main Methods:
- A comprehensive literature review was conducted using PubMed.
- Studies focusing on CFD analysis of aneurysms and associated hemodynamic parameters were identified and analyzed.
- Key parameters such as wall shear stress (WSS) and Oscillatory Shear Index (OSI) were examined for their contribution to rupture risk.
Main Results:
- A total of 258 articles were reviewed, with 113 specifically addressing CFD and hemodynamic parameters for rupture risk.
- Hemodynamic parameters like WSS and OSI were frequently investigated in relation to aneurysm rupture.
- A lack of standardized methodology has led to ongoing controversy regarding the precise role of these parameters.
Conclusions:
- CFD provides valuable supplementary parameters for assessing intracranial aneurysm rupture risk.
- Despite existing controversies, CFD holds promise for enhancing clinical decision-making.
- The technology can aid in evaluating the efficacy of endovascular treatments and devices.
Keywords:
CFD = computational fluid dynamicsFD = flow diverterFSI = fluid structure interactionICA = internal carotid arteryMCA = middle cerebral arteryOSI = Oscillatory Shear IndexPD = pressure differencePLc = pressure loss coefficientSTL = stereolithographyWSS = wall shear stresscomputational fluid dynamicshemodynamicsintracranial aneurysmrupture
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