Literature DB >> 23948500

Predictive biomechanical analysis of ascending aortic aneurysm rupture potential.

Caitlin Martin1, Wei Sun, Thuy Pham, John Elefteriades.   

Abstract

Aortic aneurysm is a leading cause of death in adults, often taking lives without any premonitory signs or symptoms. Adverse clinical outcomes of aortic aneurysm are preventable by elective surgical repair; however, identifying at-risk individuals is difficult. The objective of this study was to perform a predictive biomechanical analysis of ascending aortic aneurysm (AsAA) tissue to assess rupture risk on a patient-specific level. AsAA tissues, obtained intra-operatively from 50 patients, were subjected to biaxial mechanical and uniaxial failure tests to obtain their passive elastic mechanical properties. A novel analytical method was developed to predict the AsAA pressure-diameter response as well as the aortic wall yield and failure responses. Our results indicated that the mean predicted AsAA diameter at rupture was 5.6 ± 0.7 cm, and the associated blood pressure to induce rupture was 579.4 ± 214.8 mmHg. Statistical analysis showed significant positive correlation between aneurysm tissue compliance and predicted risk of rupture, where patients with a pressure-strain modulus ≥100 kPa may be nearly twice as likely to experience rupture than patients with more compliant aortic tissue. The mechanical analysis of pre-dissection patient tissue properties established in this study could predict the "future" onset of yielding and rupture in AsAA patients. The analysis results implicate decreased tissue compliance as a risk factor for AsAA rupture. The presented methods may serve as a basis for the development of a pre-operative planning tool for AsAA evaluation, a tool currently unavailable.
Copyright © 2013 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Ascending aortic aneurysm; Bicuspid aortic valve; Bovine aortic arch; Rupture potential

Mesh:

Year:  2013        PMID: 23948500      PMCID: PMC3872822          DOI: 10.1016/j.actbio.2013.07.044

Source DB:  PubMed          Journal:  Acta Biomater        ISSN: 1742-7061            Impact factor:   8.947


  41 in total

1.  Effect of aneurysm on the tensile strength and biomechanical behavior of the ascending thoracic aorta.

Authors:  David A Vorp; Brian J Schiro; Marek P Ehrlich; Tatu S Juvonen; M Arisan Ergin; Bartley P Griffith
Journal:  Ann Thorac Surg       Date:  2003-04       Impact factor: 4.330

2.  Clinical and pathophysiological implications of a bicuspid aortic valve.

Authors:  Paul W M Fedak; Subodh Verma; Tirone E David; Richard L Leask; Richard D Weisel; Jagdish Butany
Journal:  Circulation       Date:  2002-08-20       Impact factor: 29.690

Review 3.  Multiaxial mechanical behavior of biological materials.

Authors:  Michael S Sacks; Wei Sun
Journal:  Annu Rev Biomed Eng       Date:  2003-04-18       Impact factor: 9.590

4.  Relationship of aortic cross-sectional area to height ratio and the risk of aortic dissection in patients with bicuspid aortic valves.

Authors:  Lars G Svensson; Kyung-Hwan Kim; Bruce W Lytle; Delos M Cosgrove
Journal:  J Thorac Cardiovasc Surg       Date:  2003-09       Impact factor: 5.209

5.  Prediction of rupture risk in abdominal aortic aneurysm during observation: wall stress versus diameter.

Authors:  Mark F Fillinger; Steven P Marra; M L Raghavan; Francis E Kennedy
Journal:  J Vasc Surg       Date:  2003-04       Impact factor: 4.268

6.  Mechanical properties of dilated human ascending aorta.

Authors:  Ruth J Okamoto; Jessica E Wagenseil; William R DeLong; Sara J Peterson; Nicholas T Kouchoukos; Thoralf M Sundt
Journal:  Ann Biomed Eng       Date:  2002-05       Impact factor: 3.934

7.  Anatomic characteristics of ruptured abdominal aortic aneurysm on conventional CT scans: Implications for rupture risk.

Authors:  Mark F Fillinger; Jessica Racusin; Robert K Baker; Jack L Cronenwett; Arno Teutelink; Marc L Schermerhorn; Robert M Zwolak; Richard J Powell; Daniel B Walsh; Eva M Rzucidlo
Journal:  J Vasc Surg       Date:  2004-06       Impact factor: 4.268

8.  A comparative study of aortic wall stress using finite element analysis for ruptured and non-ruptured abdominal aortic aneurysms.

Authors:  A K Venkatasubramaniam; M J Fagan; T Mehta; K J Mylankal; B Ray; G Kuhan; I C Chetter; P T McCollum
Journal:  Eur J Vasc Endovasc Surg       Date:  2004-08       Impact factor: 7.069

9.  Age-dependent ascending aorta mechanics assessed through multiphase CT.

Authors:  Caitlin Martin; Wei Sun; Charles Primiano; Raymond McKay; John Elefteriades
Journal:  Ann Biomed Eng       Date:  2013-07-02       Impact factor: 3.934

10.  Biomechanical characterization of ascending aortic aneurysm with concomitant bicuspid aortic valve and bovine aortic arch.

Authors:  T Pham; C Martin; J Elefteriades; W Sun
Journal:  Acta Biomater       Date:  2013-04-30       Impact factor: 8.947

View more
  13 in total

1.  A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis.

Authors:  Liang Liang; Minliang Liu; Caitlin Martin; Wei Sun
Journal:  J R Soc Interface       Date:  2018-01       Impact factor: 4.118

2.  Predissection-derived geometric and distensibility indices reveal increased peak longitudinal stress and stiffness in patients sustaining acute type A aortic dissection: Implications for predicting dissection.

Authors:  Leonid Emerel; James Thunes; Trevor Kickliter; Marie Billaud; Julie A Phillippi; David A Vorp; Spandan Maiti; Thomas G Gleason
Journal:  J Thorac Cardiovasc Surg       Date:  2018-11-03       Impact factor: 5.209

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.  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

5.  A machine learning approach to investigate the relationship between shape features and numerically predicted risk of ascending aortic aneurysm.

Authors:  Liang Liang; Minliang Liu; Caitlin Martin; John A Elefteriades; Wei Sun
Journal:  Biomech Model Mechanobiol       Date:  2017-04-06

6.  Patient-specific finite element analysis of ascending aorta aneurysms.

Authors:  Caitlin Martin; Wei Sun; John Elefteriades
Journal:  Am J Physiol Heart Circ Physiol       Date:  2015-03-13       Impact factor: 4.733

Review 7.  Ascending aorta mechanics and dimensions in aortopathy - from science to application.

Authors:  Frank S Cikach; Emidio Germano; Eric E Roselli; Lars G Svensson
Journal:  Indian J Thorac Cardiovasc Surg       Date:  2021-01-05

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.  Investigation on the Regional Loss Factor and Its Anisotropy for Aortic Aneurysms.

Authors:  Nastaran Shahmansouri; Mohammed Alreshidan; Alexander Emmott; Kevin Lachapelle; Ismaïl El-Hamamsy; Raymond Cartier; Richard L Leask; Rosaire Mongrain
Journal:  Materials (Basel)       Date:  2016-10-26       Impact factor: 3.623

Review 10.  Biomechanical evaluation of ascending aortic aneurysms.

Authors:  Andrea Avanzini; Davide Battini; Lorenzo Bagozzi; Gianluigi Bisleri
Journal:  Biomed Res Int       Date:  2014-06-04       Impact factor: 3.411

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.