Literature DB >> 27591094

Computational Investigation of Transmural Differences in Left Ventricular Contractility.

Hua Wang1, Xiaoyan Zhang1, Shauna M Dorsey2, Jeremy R McGarvey3, Kenneth S Campbell4, Jason A Burdick2, Joseph H Gorman3, James J Pilla5, Robert C Gorman3, Jonathan F Wenk6.   

Abstract

Myocardial contractility of the left ventricle (LV) plays an essential role in maintaining normal pump function. A recent ex vivo experimental study showed that cardiomyocyte force generation varies across the three myocardial layers of the LV wall. However, the in vivo distribution of myocardial contractile force is still unclear. The current study was designed to investigate the in vivo transmural distribution of myocardial contractility using a noninvasive computational approach. For this purpose, four cases with different transmural distributions of maximum isometric tension (Tmax) and/or reference sarcomere length (lR) were tested with animal-specific finite element (FE) models, in combination with magnetic resonance imaging (MRI), pressure catheterization, and numerical optimization. Results of the current study showed that the best fit with in vivo MRI-derived deformation was obtained when Tmax assumed different values in the subendocardium, midmyocardium, and subepicardium with transmurally varying lR. These results are consistent with recent ex vivo experimental studies, which showed that the midmyocardium produces more contractile force than the other transmural layers. The systolic strain calculated from the best-fit FE model was in good agreement with MRI data. Therefore, the proposed noninvasive approach has the capability to predict the transmural distribution of myocardial contractility. Moreover, FE models with a nonuniform distribution of myocardial contractility could provide a better representation of LV function and be used to investigate the effects of transmural changes due to heart disease.

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Year:  2016        PMID: 27591094      PMCID: PMC5125313          DOI: 10.1115/1.4034558

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  21 in total

1.  Numerical evaluation of myofiber orientation and transmural contractile strength on left ventricular function.

Authors:  Xiaoyan Zhang; Premi Haynes; Kenneth S Campbell; Jonathan F Wenk
Journal:  J Biomech Eng       Date:  2015-02-05       Impact factor: 2.097

2.  Transmural heterogeneity of cellular level power output is reduced in human heart failure.

Authors:  Premi Haynes; Kristofer E Nava; Benjamin A Lawson; Charles S Chung; Mihail I Mitov; Stuart G Campbell; Arnold J Stromberg; Sakthivel Sadayappan; Mark R Bonnell; Charles W Hoopes; Kenneth S Campbell
Journal:  J Mol Cell Cardiol       Date:  2014-02-20       Impact factor: 5.000

3.  Estimating passive mechanical properties in a myocardial infarction using MRI and finite element simulations.

Authors:  Dimitri Mojsejenko; Jeremy R McGarvey; Shauna M Dorsey; Joseph H Gorman; Jason A Burdick; James J Pilla; Robert C Gorman; Jonathan F Wenk
Journal:  Biomech Model Mechanobiol       Date:  2014-10-15

4.  MRI-based finite-element analysis of left ventricular aneurysm.

Authors:  Joseph C Walker; Mark B Ratcliffe; Peng Zhang; Arthur W Wallace; Bahar Fata; Edward W Hsu; David Saloner; Julius M Guccione
Journal:  Am J Physiol Heart Circ Physiol       Date:  2005-03-18       Impact factor: 4.733

5.  Mechanics of active contraction in cardiac muscle: Part II--Cylindrical models of the systolic left ventricle.

Authors:  J M Guccione; L K Waldman; A D McCulloch
Journal:  J Biomech Eng       Date:  1993-02       Impact factor: 2.097

6.  Modelling passive diastolic mechanics with quantitative MRI of cardiac structure and function.

Authors:  Vicky Y Wang; H I Lam; Daniel B Ennis; Brett R Cowan; Alistair A Young; Martyn P Nash
Journal:  Med Image Anal       Date:  2009-07-16       Impact factor: 8.545

7.  First evidence of depressed contractility in the border zone of a human myocardial infarction.

Authors:  Jonathan F Wenk; Doron Klepach; Lik Chuan Lee; Zhihong Zhang; Liang Ge; Elaine E Tseng; Alastair Martin; Sebastian Kozerke; Joseph H Gorman; Robert C Gorman; Julius M Guccione
Journal:  Ann Thorac Surg       Date:  2012-02-09       Impact factor: 4.330

8.  Deformation analysis of 3D tagged cardiac images using an optical flow method.

Authors:  Chun Xu; James J Pilla; Gamaliel Isaac; Joseph H Gorman; Aaron S Blom; Robert C Gorman; Zhou Ling; Lawrence Dougherty
Journal:  J Cardiovasc Magn Reson       Date:  2010-03-30       Impact factor: 5.364

9.  Transmural distribution of three-dimensional strain in the isolated arrested canine left ventricle.

Authors:  J H Omens; K D May; A D McCulloch
Journal:  Am J Physiol       Date:  1991-09

10.  The estimation of patient-specific cardiac diastolic functions from clinical measurements.

Authors:  Jiahe Xi; Pablo Lamata; Steven Niederer; Sander Land; Wenzhe Shi; Xiahai Zhuang; Sebastien Ourselin; Simon G Duckett; Anoop K Shetty; C Aldo Rinaldi; Daniel Rueckert; Reza Razavi; Nic P Smith
Journal:  Med Image Anal       Date:  2012-10-16       Impact factor: 8.545

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  6 in total

1.  Differential Effects of Isoproterenol on Regional Myocardial Mechanics in Rat using 3D cine DENSE Cardiovascular Magnetic Resonance.

Authors:  Xiaoyan Zhang; Zhan-Qiu Liu; Dara Singh; David K Powell; Charles S Chung; Kenneth S Campbell; Jonathan F Wenk
Journal:  J Biomech Eng       Date:  2018-08-04       Impact factor: 2.097

Review 2.  Multiscale simulations of left ventricular growth and remodeling.

Authors:  Hossein Sharifi; Charles K Mann; Alexus L Rockward; Mohammad Mehri; Joy Mojumder; Lik-Chuan Lee; Kenneth S Campbell; Jonathan F Wenk
Journal:  Biophys Rev       Date:  2021-08-25

3.  Relationship of Transmural Variations in Myofiber Contractility to Left Ventricular Ejection Fraction: Implications for Modeling Heart Failure Phenotype With Preserved Ejection Fraction.

Authors:  Yaghoub Dabiri; Kevin L Sack; Semion Shaul; Partho P Sengupta; Julius M Guccione
Journal:  Front Physiol       Date:  2018-08-24       Impact factor: 4.566

4.  In-silico human electro-mechanical ventricular modelling and simulation for drug-induced pro-arrhythmia and inotropic risk assessment.

Authors:  Francesca Margara; Zhinuo J Wang; Francesc Levrero-Florencio; Alfonso Santiago; Mariano Vázquez; Alfonso Bueno-Orovio; Blanca Rodriguez
Journal:  Prog Biophys Mol Biol       Date:  2020-07-22       Impact factor: 3.667

5.  Evaluation of a Novel Finite Element Model of Active Contraction in the Heart.

Authors:  Xiaoyan Zhang; Zhan-Qiu Liu; Kenneth S Campbell; Jonathan F Wenk
Journal:  Front Physiol       Date:  2018-04-23       Impact factor: 4.566

6.  Multiscale Modeling of Cardiovascular Function Predicts That the End-Systolic Pressure Volume Relationship Can Be Targeted via Multiple Therapeutic Strategies.

Authors:  Kenneth S Campbell; Brianna Sierra Chrisman; Stuart G Campbell
Journal:  Front Physiol       Date:  2020-08-19       Impact factor: 4.566

  6 in total

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