Influence of Hemodynamic Factors on Rupture of Intracranial Aneurysms: Patient-Specific 3D Mirror Aneurysms Model Computational Fluid Dynamics Simulation

Lü, Gang; Huang, Lei; Zhang, X.L.; Wang, S.Z.; Hong, Yong Kil; Hu, Zhiying; Geng, D. Y.

doi:10.3174/ajnr.a2461

Cited by 92 publications

(72 citation statements)

References 29 publications

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“…Following Marquering et al (2011) and Liu and Ribeiro (2010), local partial orthogonal decomposition was used for 2D flow pattern recognition. After definingŵ ¼ x þ iy andv ¼ v x þ iv y on complex plane, velocity was decomposed on an orthogonal basis around the positionŵ 0 and at time t, aŝ vðŵ 0 þ Dŵ; tÞ % X kÂ k ðŵ 0 ; tÞ/ k ðDŵÞ ð6Þ…”

Section: Flow Pattern Identificationmentioning

confidence: 99%

“…Since hemodynamics may have large impact on both the IAs rupture (Lu et al 2011;Cebral et al 2011;Pereira et al 2014) and treatment efficacy (Pereira et al 2013) (e.g. flow diverter stents), precise experimental investigations of flow related to clinical outcomes are therefore strongly required.…”

Section: Introductionmentioning

confidence: 99%

“…Unlike in Le et al (2010) where the physiological flow was rescaled, the effect of inflow waveform on IA flow patterns was studied by altering the number of harmonics of a physiological flow curve. Then, the measured velocity fields were compared to the experimental steady flow results to localize and quantify the predominant rotation and translation features using a flow pattern recognition technique (Marquering et al 2011;Liu and Ribeiro 2010).…”

Section: Introductionmentioning

confidence: 99%

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Multi-time-lag PIV analysis of steady and pulsatile flows in a sidewall aneurysm

et al. 2014

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The effect of inflow waveform on the hemodynamics of a real-size idealized sidewall intracranial aneurysm (IA) model was investigated using particle imaging velocimetry (PIV). For this purpose, we implemented an error analysis based on several PIV measurements with different time lags to ensure high precision of velocity fields measured in both the IA and the parent artery. The relative error measured in the main part of the circulating volume was \1 % despite the three orders of magnitude difference of parent artery and IA dome velocities. Moreover, important features involved in IA evolution were potentially emphasized from the qualitative and quantitative flow pattern comparison resulting from steady and unsteady inflows. In particular, the flow transfer in IA and the vortical structure were significantly modified when increasing the number of harmonics for a typical physiological flow, in comparison with quasi-steady conditions.

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Section: Flow Pattern Identificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multi-time-lag PIV analysis of steady and pulsatile flows in a sidewall aneurysm

et al. 2014

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“…Computational fluid dynamics (CFD) has been used to clarify the mechanisms of aneurysmal initiation, growth, and rupture and to predict these by processing various hemodynamic parameters such as wall shear stress (WSS) [2][3][4][5][6][7][8][9][10], which is the tangential frictional stress of blood flowing along the vascular wall and is widely considered to be associated with rupture. Both high [3][4][5] and low [6,8,10] WSS have been correlated with aneurysmal growth and rupture.…”

Section: Introductionmentioning

confidence: 99%

“…Both high [3][4][5] and low [6,8,10] WSS have been correlated with aneurysmal growth and rupture. On the basis of these inconsistent reports, Meng et al proposed a unified hypothesis stating that both high and low WSS play an important role in the rupture of intracranial aneurysms (IAs) [11].…”

Section: Introductionmentioning

confidence: 99%

Variability of hemodynamic parameters using the common viscosity assumption in a computational fluid dynamics analysis of intracranial aneurysms

Suzuki

Takao

Suzuki

et al. 2017

THC

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Variability of hemodynamic parameters using the common viscosity assumption in a computational fluid dynamics analysis of intracranial aneurysms Takashi Abstract. BACKGROUND: In most simulations of intracranial aneurysm hemodynamics, blood is assumed to be a Newtonian fluid. However, it is a non-Newtonian fluid, and its viscosity profile differs among individuals. Therefore, the common viscosity assumption may not be valid for all patients. OBJECTIVE: This study aims to test the suitability of the common viscosity assumption. METHODS: Blood viscosity datasets were obtained from two healthy volunteers. Three simulations were performed for three different-sized aneurysms, two using measured value-based non-Newtonian models and one using a Newtonian model. The parameters proposed to predict an aneurysmal rupture obtained using the non-Newtonian models were compared with those obtained using the Newtonian model. RESULTS:The largest difference (25%) in the normalized wall shear stress (NWSS) was observed in the smallest aneurysm.Comparing the difference ratio to the NWSS with the Newtonian model between the two Non-Newtonian models, the difference of the ratio was 17.3%. CONCLUSIONS: Irrespective of the aneurysmal size, computational fluid dynamics simulations with either the common Newtonian or non-Newtonian viscosity assumption could lead to values different from those of the patient-specific viscosity model for hemodynamic parameters such as NWSS.

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Computational Fluid Dynamics for Cerebral Aneurysms in Clinical Settings

Ishida

Tsuji

Tanioka

et al. 2021

Acta Neurochirurgica Supplement

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Hemodynamics is thought to play an important role in the pathogenesis of cerebral aneurysms and recent development of computer technology makes it possible to simulate blood flow using high-resolution 3D images within several hours. A lot of studies of computational fluid dynamics (CFD) for cerebral aneurysms were reported; therefore, application of CFD for cerebral aneurysms in clinical settings is reviewed in this article.CFD for cerebral aneurysms using a patient-specific geometry model was first reported in 2003 and it has been revealing that hemodynamics brings a certain contribution to understanding aneurysm pathology, including initiation, growth and rupture. Based on the knowledge of the state-of-the-art techniques, this review treats the decision-making process for using CFD in several clinical settings. We introduce our CFD procedure using digital imaging and communication in medicine (DICOM) datasets of 3D CT angiography or 3D rotational angiography. In addition, we review rupture status, hyperplastic remodeling of aneurysm wall, and recurrence of coiled aneurysms using the hemodynamic parameters such as wall shear stress (WSS), oscillatory shear index (OSI), aneurysmal inflow rate coefficient (AIRC), and residual flow volume (RFV).

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Influence of Hemodynamic Factors on Rupture of Intracranial Aneurysms: Patient-Specific 3D Mirror Aneurysms Model Computational Fluid Dynamics Simulation

Abstract: BACKGROUND AND PURPOSE:Hemodynamics factors play an important role in the rupture of cerebral aneurysms. The purpose of this study was to evaluate the impact of hemodynamic factors on the rupture of the MANs with 3D reconstruction model CFD simulation.

Cited by 92 publications

References 29 publications

Multi-time-lag PIV analysis of steady and pulsatile flows in a sidewall aneurysm

Multi-time-lag PIV analysis of steady and pulsatile flows in a sidewall aneurysm

Variability of hemodynamic parameters using the common viscosity assumption in a computational fluid dynamics analysis of intracranial aneurysms

Computational Fluid Dynamics for Cerebral Aneurysms in Clinical Settings

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