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Author:

Li, Bao (Li, Bao.) | Liu, Tao (Liu, Tao.) | Liu, Jincheng (Liu, Jincheng.) | Liu, Youjun (Liu, Youjun.) | Cao, Boqiang (Cao, Boqiang.) | Zhao, Xi (Zhao, Xi.) | Wang, Wenxin (Wang, Wenxin.) | Shi, Mengchao (Shi, Mengchao.) | Zhang, Liyuan (Zhang, Liyuan.) | Xu, Ke (Xu, Ke.) | Chen, Mingyan (Chen, Mingyan.) | Wen, Chuanqi (Wen, Chuanqi.) | Zhang, Mingzi (Zhang, Mingzi.)

Indexed by:

EI Scopus SCIE

Abstract:

Background and objectives: Initiation, growth, and rupture of intracranial aneurysms are believed to be closely related to their local haemodynamic environment. While haemodynamics can be characterised by use of computational fluid dynamics (CFD), its reliability depends heavily upon accurate assumption of the boundary conditions. Herein, we compared the simulated aneurysmal haemodynamics obtained by use of generic boundary conditions against those obtained under flow conditions measured in vivo. Methods: We prospectively recruited 19 patients with intracranial aneurysms requiring 3-dimensional rotational angiography, during which blood pressure at the internal carotid artery was probed by catheter and flowrate measured by a dedicated software tool. Using these flow conditions measured in vivo, we quantified the aneurysmal haemodynamics for each patient by CFD, and then compared the results with those derived from a generic condition reported in the literature, in terms of the time-averaged wall shear stress (TAWSS), oscillatory shear index (OSI), relative residence time (RRT), and percentage of the intra-aneurysmal flow (PIAF). In addition, the effects on aneurysmal haemodynamics of different outflow strategies (splitting method vs. Murray's Law) and simulation schemes (transient vs. steady-state) relative to each flow condition were also assessed. Results: Differences in the simulated TAWSS (−6.08 ± 10.64 Pa, p = 0.001), OSI (0.06 ± 0.13, p = 0.001), and PIAF (−0.05 ± 0.20, p = 0.012) between the patient-specific and generic boundary conditions were found to be statistically significant, in contrast to that in the RRT (49 ± 307 Pa−1, p = 0.062). Outflow strategies did not yield statistically significant differences in any of the investigated parameters (all p > 0.05); rather, the resulting parameters were found to be in good correlations (all r > 0.71, p © 2022

Keyword:

Blood vessels Boundary conditions Hemodynamics Computational fluid dynamics Blood pressure Shear flow Shear stress Computer aided software engineering

Author Community:

  • [ 1 ] [Li, Bao]Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing, China
  • [ 2 ] [Liu, Tao]Neurosurgery Department, Medical School of Nanjing University Affiliated Drum Tower Hospital, No. 321 Zhongshan Road, Gulou, Nanjing; Jiangsu, China
  • [ 3 ] [Liu, Jincheng]Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing, China
  • [ 4 ] [Liu, Youjun]Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing, China
  • [ 5 ] [Cao, Boqiang]Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Jiangsu, Nanjing, China
  • [ 6 ] [Zhao, Xi]Philips Healthcare China, Shanghai; 200072, China
  • [ 7 ] [Wang, Wenxin]Philips Healthcare China, Shanghai; 200072, China
  • [ 8 ] [Shi, Mengchao]Philips Healthcare China, Shanghai; 200072, China
  • [ 9 ] [Zhang, Liyuan]Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing, China
  • [ 10 ] [Xu, Ke]Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing, China
  • [ 11 ] [Chen, Mingyan]Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing, China
  • [ 12 ] [Wen, Chuanqi]Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing, China
  • [ 13 ] [Zhang, Mingzi]Macquarie Medical School, Faculty of Medicine, Health, and Human Sciences, Macquarie University, Sydney; NSW; 2109, Australia

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Source :

Computer Methods and Programs in Biomedicine

ISSN: 0169-2607

Year: 2022

Volume: 225

6 . 1

JCR@2022

6 . 1 0 0

JCR@2022

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:46

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 9

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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