Literature DB >> 19592607

Determinants of left ventricular shear strain.

Peter H M Bovendeerd1, Wilco Kroon, Tammo Delhaas.   

Abstract

Mathematical models of cardiac mechanics can potentially be used to relate abnormal cardiac deformation, as measured noninvasively by ultrasound strain rate imaging or magnetic resonance tagging (MRT), to the underlying pathology. However, with current models, the correct prediction of wall shear strain has proven to be difficult, even for the normal healthy heart. Discrepancies between simulated and measured strains have been attributed to 1) inadequate modeling of passive tissue behavior, 2) neglecting active stress development perpendicular to the myofiber direction, or 3) neglecting crossover of myofibers in between subendocardial and subepicardial layers. In this study, we used a finite-element model of left ventricular (LV) mechanics to investigate the sensitivity of midwall circumferential-radial shear strain (E(cr)) to settings of parameters determining passive shear stiffness, cross-fiber active stress development, and transmural crossover of myofibers. Simulated time courses of midwall LV E(cr) were compared with time courses obtained in three healthy volunteers using MRT. E(cr) as measured in the volunteers during the cardiac cycle was characterized by an amplitude of approximately 0.1. In the simulations, a realistic amplitude of the E(cr) signal could be obtained by tuning either of the three model components mentioned above. However, a realistic time course of E(cr), with virtually no change of E(cr) during isovolumic contraction and a correct base-to-apex gradient of E(cr) during ejection, could only be obtained by including transmural crossover of myofibers. Thus, accounting for this crossover seems to be essential for a realistic model of LV wall mechanics.

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Year:  2009        PMID: 19592607     DOI: 10.1152/ajpheart.01334.2008

Source DB:  PubMed          Journal:  Am J Physiol Heart Circ Physiol        ISSN: 0363-6135            Impact factor:   4.733


  12 in total

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2.  Uncertainty quantification and sensitivity analysis of left ventricular function during the full cardiac cycle.

Authors:  J O Campos; J Sundnes; R W Dos Santos; B M Rocha
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2020-05-25       Impact factor: 4.226

3.  Preliminary investigation of multiparametric strain Z-score (MPZS) computation using displacement encoding with simulated echoes (DENSE) and radial point interpretation method (RPIM).

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Journal:  J Magn Reson Imaging       Date:  2016-03-31       Impact factor: 4.813

4.  Dynamic finite-strain modelling of the human left ventricle in health and disease using an immersed boundary-finite element method.

Authors:  Hao Gao; David Carrick; Colin Berry; Boyce E Griffith; Xiaoyu Luo
Journal:  IMA J Appl Math       Date:  2014-07-01       Impact factor: 0.845

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Review 6.  Evaluation of left ventricular torsion by cardiovascular magnetic resonance.

Authors:  Alistair A Young; Brett R Cowan
Journal:  J Cardiovasc Magn Reson       Date:  2012-07-24       Impact factor: 5.364

Review 7.  Images as drivers of progress in cardiac computational modelling.

Authors:  Pablo Lamata; Ramón Casero; Valentina Carapella; Steve A Niederer; Martin J Bishop; Jürgen E Schneider; Peter Kohl; Vicente Grau
Journal:  Prog Biophys Mol Biol       Date:  2014-08-10       Impact factor: 3.667

8.  Determinants of biventricular cardiac function: a mathematical model study on geometry and myofiber orientation.

Authors:  Marieke Pluijmert; Tammo Delhaas; Adrián Flores de la Parra; Wilco Kroon; Frits W Prinzen; Peter H M Bovendeerd
Journal:  Biomech Model Mechanobiol       Date:  2016-08-31

9.  Why SIT works: normal function despite typical myofiber pattern in Situs Inversus Totalis (SIT) hearts derived by shear-induced myofiber reorientation.

Authors:  Marieke Pluijmert; Wilco Kroon; Alessandro C Rossi; Peter H M Bovendeerd; Tammo Delhaas
Journal:  PLoS Comput Biol       Date:  2012-07-26       Impact factor: 4.475

10.  Quantitative study of the effect of tissue microstructure on contraction in a computational model of rat left ventricle.

Authors:  Valentina Carapella; Rafel Bordas; Pras Pathmanathan; Maelene Lohezic; Jurgen E Schneider; Peter Kohl; Kevin Burrage; Vicente Grau
Journal:  PLoS One       Date:  2014-04-02       Impact factor: 3.240

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