Literature DB >> 27043925

The role of infarct transmural extent in infarct extension: A computational study.

Chin-Neng Leong1,2, Einly Lim3, Andri Andriyana4, Amr Al Abed1, Nigel Hamilton Lovell1, Christopher Hayward5, Christian Hamilton-Craig6,7, Socrates Dokos1.   

Abstract

Infarct extension, a process involving progressive extension of the infarct zone (IZ) into the normally perfused border zone (BZ), leads to continuous degradation of the myocardial function and adverse remodelling. Despite carrying a high risk of mortality, detailed understanding of the mechanisms leading to BZ hypoxia and infarct extension remains unexplored. In the present study, we developed a 3D truncated ellipsoidal left ventricular model incorporating realistic electromechanical properties and fibre orientation to examine the mechanical interaction among the remote, infarct and BZs in the presence of varying infarct transmural extent (TME). Localized highly abnormal systolic fibre stress was observed at the BZ, owing to the simultaneous presence of moderately increased stiffness and fibre strain at this region, caused by the mechanical tethering effect imposed by the overstretched IZ. Our simulations also demonstrated the greatest tethering effect and stress in BZ regions with fibre direction tangential to the BZ-remote zone boundary. This can be explained by the lower stiffness in the cross-fibre direction, which gave rise to a greater stretching of the IZ in this direction. The average fibre strain of the IZ, as well as the maximum stress in the sub-endocardial layer, increased steeply from 10% to 50% infarct TME, and slower thereafter. Based on our stress-strain loop analysis, we found impairment in the myocardial energy efficiency and elevated energy expenditure with increasing infarct TME, which we believe to place the BZ at further risk of hypoxia.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  border zone; finite element modelling; infarct extension; infarct transmural extent

Mesh:

Year:  2016        PMID: 27043925     DOI: 10.1002/cnm.2794

Source DB:  PubMed          Journal:  Int J Numer Method Biomed Eng        ISSN: 2040-7939            Impact factor:   2.747


  1 in total

1.  Gaussian Process Regressions for Inverse Problems and Parameter Searches in Models of Ventricular Mechanics.

Authors:  Paolo Di Achille; Ahmed Harouni; Svyatoslav Khamzin; Olga Solovyova; John J Rice; Viatcheslav Gurev
Journal:  Front Physiol       Date:  2018-08-14       Impact factor: 4.566

  1 in total

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