Literature DB >> 25460406

Human thoracic and abdominal aortic aneurysmal tissues: Damage experiments, statistical analysis and constitutive modeling.

David M Pierce1, Franz Maier2, Hannah Weisbecker2, Christian Viertler3, Peter Verbrugghe4, Nele Famaey5, Inge Fourneau6, Paul Herijgers4, Gerhard A Holzapfel7.   

Abstract

Development of aortic aneurysms includes significant morphological changes within the tissue: collagen content increases, elastin content reduces and smooth muscle cells degenerate. We seek to quantify the impact of these changes on the passive mechanical response of aneurysms in the supra-physiological loading range via mechanical testing and constitutive modeling. We perform uniaxial extension tests on circumferentially and axially oriented strips from five thoracic (65.6 years ± 13.4, mean ± SD) and eight abdominal (63.9 years ± 11.4) aortic fusiform aneurysms to investigate both continuous and discontinuous softening during supra-physiological loading. We determine the significance of the differences between the fitted model parameters: diseased thoracic versus abdominal tissues, and healthy (Weisbecker et al., J. Mech. Behav. Biomed. Mater. 12, 93-106, 2012) versus diseased tissues. We also test correlations among these parameters and age, Body Mass Index (BMI) and preoperative aneurysm diameter, and investigate histological cuts. Tissue response is anisotropic for all tests and the anisotropic pseudo-elastic damage model fits the data well for both primary loading and discontinuous softening which we interpret as damage. We found statistically relevant differences between model parameters fitted to diseased thoracic versus abdominal tissues, as well as between those fitted to healthy versus diseased tissues. Only BMI correlated with fitted model parameters in abdominal aortic aneurysmal tissues.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aortic aneurysm; Constitutive modeling; Damage modeling; Human aorta; Supra-physiological loading

Mesh:

Year:  2014        PMID: 25460406     DOI: 10.1016/j.jmbbm.2014.10.003

Source DB:  PubMed          Journal:  J Mech Behav Biomed Mater        ISSN: 1878-0180


  17 in total

1.  Mechanical damage characterization in human femoropopliteal arteries of different ages.

Authors:  Eric Anttila; Daniel Balzani; Anastasia Desyatova; Paul Deegan; Jason MacTaggart; Alexey Kamenskiy
Journal:  Acta Biomater       Date:  2019-03-28       Impact factor: 8.947

2.  An approach for patient-specific multi-domain vascular mesh generation featuring spatially varying wall thickness modeling.

Authors:  Samarth S Raut; Peng Liu; Ender A Finol
Journal:  J Biomech       Date:  2015-04-16       Impact factor: 2.712

3.  A new inverse method for estimation of in vivo mechanical properties of the aortic wall.

Authors:  Minliang Liu; Liang Liang; Wei Sun
Journal:  J Mech Behav Biomed Mater       Date:  2017-05-02

4.  Comparison of 10 murine models reveals a distinct biomechanical phenotype in thoracic aortic aneurysms.

Authors:  C Bellini; M R Bersi; A W Caulk; J Ferruzzi; D M Milewicz; F Ramirez; D B Rifkin; G Tellides; H Yanagisawa; J D Humphrey
Journal:  J R Soc Interface       Date:  2017-05       Impact factor: 4.118

5.  Estimation of in vivo constitutive parameters of the aortic wall using a machine learning approach.

Authors:  Minliang Liu; Liang Liang; Wei Sun
Journal:  Comput Methods Appl Mech Eng       Date:  2018-12-28       Impact factor: 6.756

6.  Structural modeling reveals microstructure-strength relationship for human ascending thoracic aorta.

Authors:  James R Thunes; Julie A Phillippi; Thomas G Gleason; David A Vorp; Spandan Maiti
Journal:  J Biomech       Date:  2018-02-08       Impact factor: 2.712

7.  A microstructurally inspired damage model for early venous thrombus.

Authors:  Manuel K Rausch; Jay D Humphrey
Journal:  J Mech Behav Biomed Mater       Date:  2015-10-17

8.  Estimation of in vivo mechanical properties of the aortic wall: A multi-resolution direct search approach.

Authors:  Minliang Liu; Liang Liang; Wei Sun
Journal:  J Mech Behav Biomed Mater       Date:  2017-10-20

9.  Atherosclerosis Alters Loading-Induced Arterial Damage: Implications for Robotic Surgery.

Authors:  Rachel Geenens; Nele Famaey; Andy Gijbels; Silke Verhelle; Stefan Vinckier; Jos Vander Sloten; Paul Herijgers
Journal:  PLoS One       Date:  2016-06-13       Impact factor: 3.240

Review 10.  Damage Models for Soft Tissues: A Survey.

Authors:  Wenguang Li
Journal:  J Med Biol Eng       Date:  2016-06-08       Impact factor: 1.553

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