4.4 Article

Constitutive modeling of ascending thoracic aortic aneurysms using microstructural parameters

期刊

MEDICAL ENGINEERING & PHYSICS
卷 38, 期 2, 页码 121-130

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.medengphy.2015.11.001

关键词

Aortic aneurysm; Bicuspid aortic valve; Extracellular matrix; Finite element; Aortic failure

资金

  1. Fondazione RiMED
  2. NIH [R01 HL109132]
  3. University of Pittsburgh Department of Cardiothoracic Surgery
  4. [GR-2011-02348129]

向作者/读者索取更多资源

Ascending thoracic aortic aneurysm (ATAA) has been associated with diminished biomechanical strength and disruption in the collagen fiber microarchitecture. Additionally, the congenital bicuspid aortic valve (BAV) leads to a distinct extracellular matrix structure that may be related to ATAA development at an earlier age than degenerative aneurysms arising in patients with the morphological normal tricuspid aortic valve (TAV). The purpose of this study was to model the fiber-reinforced mechanical response of ATM specimens from patients with either BAV or TAV. This was achieved by combining image-analysis derived parameters of collagen fiber dispersion and alignment with tensile testing data. Then, numerical simulations were performed to assess the role of anisotropic constitutive formulation on the wall stress distribution of aneurysmal aorta. Re suits indicate that both BAV ATM and TAV ATM have altered collagen fiber architecture in the medial plane of experimentally-dissected aortic tissues when compared to normal ascending aortic specimens. The study findings highlight that differences in the collagen fiber distribution mostly influences the resulting wall stress distribution rather than the peak stress. We conclude that fiber-reinforced constitutive modeling that takes into account the collagen fiber defect inherent to the aneurysmal ascending aorta is paramount for accurate finite element predictions and ultimately for biomechanical-based indicators to reliably distinguish the more from the less 'malignant' ATAAs. (C) 2015 IPEM. Published by Elsevier Ltd. All rights reserved.

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