Literature DB >> 31261117

Hemodynamic and morphological characteristics of a growing cerebral aneurysm.

Mahsa Dabagh1, Priya Nair2, John Gounley1, David Frakes2,3, L Fernando Gonzalez4, Amanda Randles1.   

Abstract

The growth of cerebral aneurysms is linked to local hemodynamic conditions, but the driving mechanisms of the growth are poorly understood. The goal of this study was to examine the association between intraaneurysmal hemodynamic features and areas of aneurysm growth, to present the key hemodynamic parameters essential for an accurate prediction of the growth, and to gain a deeper understanding of the underlying mechanisms. Patient-specific images of a growing cerebral aneurysm in 3 different growth stages acquired over a period of 40 months were segmented and reconstructed. A unique aspect of this patient-specific case study was that while one side of the aneurysm stayed stable, the other side continued to grow. This unique case enabled the authors to examine their aims in the same patient with parent and daughter arteries under the same inlet flow conditions. Pulsatile flow in the aneurysm models was simulated using computational fluid dynamics and was validated with in vitro experiments using particle image velocimetry measurements. The authors' detailed analysis of intrasaccular hemodynamics linked the growing regions of aneurysms to flow instabilities and complex vortex structures. Extremely low velocities were observed at or around the center of the unstable vortex structure, which matched well with the growing regions of the studied cerebral aneurysm. Furthermore, the authors observed that the aneurysm wall regions with a growth greater than 0.5 mm coincided with wall regions of lower (< 0.5 Pa) time-averaged wall shear stress (TAWSS), lower instantaneous (< 0.5 Pa) wall shear stress (WSS), and high (> 0.1) oscillatory shear index (OSI). To determine which set of parameters can best identify growing and nongrowing aneurysms, the authors performed statistical analysis for consecutive stages of the growing CA. The results demonstrated that the combination of TAWSS and the distance from the center of the vortical structure has the highest sensitivity and positive predictive value, and relatively high specificity and negative predictive value. These findings suggest that an unstable, recirculating flow structure within the aneurysm sac created in the region adjacent to the aneurysm wall with low TAWSS may be introduced as an accurate criterion to explain the hemodynamic conditions predisposing the aneurysm to growth. The authors' findings are based on one patient's data set, but the study lays out the justification for future large-scale verification. The authors' findings can assist clinicians in differentiating stable and growing aneurysms during preinterventional planning.

Entities:  

Keywords:  CA = cerebral aneurysm; CFD = computational fluid dynamics; EC = endothelial cell; LBM = lattice Boltzmann method; NPV = negative predictive value; OSI = oscillatory shear index; PIV = particle image velocimetry; PPV = positive predictive value; TAWSS = time-averaged WSS; WSS = wall shear stress; cerebral aneurysm; flow instabilities; growing aneurysm; intrasaccular hemodynamics; morphology; near aneurysmal wall hemodynamics; stable aneurysm; vortex structures

Year:  2019        PMID: 31261117     DOI: 10.3171/2019.4.FOCUS19195

Source DB:  PubMed          Journal:  Neurosurg Focus        ISSN: 1092-0684            Impact factor:   4.047


  5 in total

1.  Hemodynamic Characteristic Analysis of Aneurysm Wall Enhancement in Unruptured Middle Cerebral Artery Aneurysm.

Authors:  Weiying Zhong; Yiming Du; Hong Kuang; Ming Liu; Feng Xue; Xue Bai; Donghai Wang; Wandong Su; Yunyan Wang
Journal:  Front Neurol       Date:  2022-05-09       Impact factor: 4.086

2.  Multiscale modeling of blood flow to assess neurological complications in patients supported by venoarterial extracorporeal membrane oxygenation.

Authors:  Bradley Feiger; Adebayo Adebiyi; Amanda Randles
Journal:  Comput Biol Med       Date:  2020-12-09       Impact factor: 4.589

3.  Analysis on Characteristics of Magnetic Resonance Imaging Image under Low-Rank Matrix Denoising Algorithm in the Diagnosis of Cerebral Aneurysm.

Authors:  Jun Li; Jin Li; Qin Hu
Journal:  Comput Math Methods Med       Date:  2021-11-15       Impact factor: 2.238

4.  Predictive Factors of Cerebral Aneurysm Rerupture After Clipping.

Authors:  Yu-Jun Chang; Chi-Kuang Liu; Chun-Yuan Cheng; Yu-Cheng Shih; Shih-Chun Wang; Chung-Chih Lin; Chih-Ming Lin
Journal:  Front Neurol       Date:  2022-02-16       Impact factor: 4.003

5.  A data-driven approach to modeling cancer cell mechanics during microcirculatory transport.

Authors:  Peter Balogh; John Gounley; Sayan Roychowdhury; Amanda Randles
Journal:  Sci Rep       Date:  2021-07-27       Impact factor: 4.379

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.