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Numerical identification of the rupture locations in patient-specific abdominal aortic aneurysmsusing hemodynamic parameters

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  • Yue Qiu
  • Ding Yuan
  • Jun Wen
  • Yubo Fan
  • Tinghui Zheng

Abstract

The rupture of an abdominal aortic aneurysm (AAA) is generally an unexpected event. Up to now, there is no agreement on an accurate criteria to predict the rupture risk of AAAs. This paper aims to numerically investigate the hemodynamics of three ruptured and one non-ruptured patient-specific AAA models to correlate local hemodynamic parameters with the rupture sites, and for the first time, this study introduced helicity as a potential index for the rupture potential of AAAs.3D reconstructions from CT scans were done. The simulation revealed that all the rupture sites were in regions of stagnation with near zero wall shear stress (WSS) but large WSS gradient (WSSG), which may explain the observation by the former researchers that the rupture site in the ruptured AAA has the lowest recorded wall thickness compared to other non-ruptured regions. Moreover, all the ruptures occurred at regions of zero helicity which represents a purely axial or circumferential flow. In addition, this study revealed that the double low region for the non-ruptured AAA was present with a thick layer of plaques, it suggests that the AAA rupture and the formation of atherosclerotic plaques may share a lot common physiological features. However, the fact that there are no plaques present in the walls of three RAAAs also indicates that AAA is not always a result of atherosclerosis. The current computational study may complement the maximum diameter, peak wall stress and other clinically relevant factors in AAA ruptures to identify the rupture sites of AAAs.

Suggested Citation

  • Yue Qiu & Ding Yuan & Jun Wen & Yubo Fan & Tinghui Zheng, 2018. "Numerical identification of the rupture locations in patient-specific abdominal aortic aneurysmsusing hemodynamic parameters," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 21(1), pages 1-12, January.
  • Handle: RePEc:taf:gcmbxx:v:21:y:2018:i:1:p:1-12
    DOI: 10.1080/10255842.2017.1410796
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    References listed on IDEAS

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    1. Jun Wen & Qingfeng Wang & Qingyuan Wang & Khashayar Khoshmanesh & Tinghui Zheng, 2016. "Numerical analysis of hemodynamics in spastic middle cerebral arteries," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 19(14), pages 1489-1496, October.
    2. Belian, A. & Chkhetiani, O. & Golbraikh, E. & Moiseev, S., 1998. "Helical turbulence: Turbulent viscosity and instability of the second moments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 258(1), pages 55-68.
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