Literature DB >> 32386714

On the in vivo systolic compressibility of left ventricular free wall myocardium in the normal and infarcted heart.

Reza Avazmohammadi1, Joao S Soares2, David S Li3, Thomas Eperjesi4, James Pilla4, Robert C Gorman4, Michael S Sacks5.   

Abstract

Although studied for many years, there remain continued gaps in our fundamental understanding of cardiac kinematics, such as the nature and extent of heart wall volumetric changes that occur over the cardiac cycle. Such knowledge is especially important for accurate in silico simulations of cardiac pathologies and in the development of novel therapies for their treatment. A prime example is myocardial infarction (MI), which induces profound, regionally variant maladaptive remodeling of the left ventricle (LV) wall. To address this problem, we conducted an in vivo fiduciary marker-based study in an established ovine model of MI to generate detailed, time-evolving transmural in vivo volumetric measurements of LV free wall deformations in the normal state, as well as up to 12 h post-MI. This was accomplished using a transmural array of sonomicrometry crystals that acquired fiducial positions at ∼250 Hz with a positional accuracy of ∼0.1 mm, covering the entire infarct, border, and remote zones. A convex-hull method was used to directly calculate the Jacobian J(t)=Δv(t)/ΔVED from sonocrystal positions over the entire cardiac cycle, where ΔV is the volume of each convex polyhedral at end diastole (ED) (typically ∼1 cc). We demonstrated significant in vivo compressibility in normal functioning LV free wall myocardium, with JES=0.85±0.07 at end systole (ES). We also observed substantial regional variations, with the largest reduction in local myocardial tissue volume during systole in the base region accompanied by substantial transmural gradients. These patterns changed profoundly following loss of perfusion post-MI, with the apical region showing the greatest loss of volume reduction at ES. To verify that the sonocrystals did not affect local volumetric measurements, JES measures were also verified by non-invasive magnetic resonance imaging, exhibiting very similar changes in regional volume. We note that while our estimates of regional compressibility were in close agreement with the values previously reported for large animals, ranging from 5% to 20%, the direct, comprehensive measurements of wall compressibility presented herein improved on the limitations of previous reports. These limitations included dependency on the small local volumes used for analysis and often indirect measurement of compressibility. Our novel findings suggest that proper accounting for the myocardial effective compressibility at the ∼1 cc volume scale can improve the accuracy of existing kinematic indices, such as wall thickening and axial shortening, and simulations of LV remodeling following MI.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cardiac function; Compressibility; Kinematics; Myocardium; Perfusion

Mesh:

Year:  2020        PMID: 32386714      PMCID: PMC7433024          DOI: 10.1016/j.jbiomech.2020.109767

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  22 in total

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Authors:  Hiroshi Ashikaga; John C Criscione; Jeffrey H Omens; James W Covell; Neil B Ingels
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Review 2.  Myocardial tagging by cardiovascular magnetic resonance: evolution of techniques--pulse sequences, analysis algorithms, and applications.

Authors:  El-Sayed H Ibrahim
Journal:  J Cardiovasc Magn Reson       Date:  2011-07-28       Impact factor: 5.364

3.  Compressibility and Anisotropy of the Ventricular Myocardium: Experimental Analysis and Microstructural Modeling.

Authors:  Eoin McEvoy; Gerhard A Holzapfel; Patrick McGarry
Journal:  J Biomech Eng       Date:  2018-08-01       Impact factor: 2.097

4.  MR imaging of motion with spatial modulation of magnetization.

Authors:  L Axel; L Dougherty
Journal:  Radiology       Date:  1989-06       Impact factor: 11.105

Review 5.  Why Is Infarct Expansion Such an Elusive Therapeutic Target?

Authors:  William J Richardson; Jeffrey W Holmes
Journal:  J Cardiovasc Transl Res       Date:  2015-09-21       Impact factor: 4.132

6.  Transmural myocardial deformation in the canine left ventricle. Normal in vivo three-dimensional finite strains.

Authors:  L K Waldman; Y C Fung; J W Covell
Journal:  Circ Res       Date:  1985-07       Impact factor: 17.367

7.  Dynamic three-dimensional imaging of the mitral valve and left ventricle by rapid sonomicrometry array localization.

Authors:  J H Gorman; K B Gupta; J T Streicher; R C Gorman; B M Jackson; M B Ratcliffe; D K Bogen; L H Edmunds
Journal:  J Thorac Cardiovasc Surg       Date:  1996-09       Impact factor: 5.209

8.  Three-dimensional transmural mechanical interaction between the coronary vasculature and passive myocardium in the dog.

Authors:  K May-Newman; J H Omens; R S Pavelec; A D McCulloch
Journal:  Circ Res       Date:  1994-06       Impact factor: 17.367

9.  Effects of barium-induced cardiac contraction on large- and small-vessel intramyocardial blood volume.

Authors:  R M Judd; B I Levy
Journal:  Circ Res       Date:  1991-01       Impact factor: 17.367

10.  An inverse finite element method for determining the tissue compressibility of human left ventricular wall during the cardiac cycle.

Authors:  Abdallah I Hassaballah; Mohsen A Hassan; Azizi N Mardi; Mohd Hamdi
Journal:  PLoS One       Date:  2013-12-19       Impact factor: 3.240

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  2 in total

1.  DeepStrain: A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics.

Authors:  Manuel A Morales; Maaike van den Boomen; Christopher Nguyen; Jayashree Kalpathy-Cramer; Bruce R Rosen; Collin M Stultz; David Izquierdo-Garcia; Ciprian Catana
Journal:  Front Cardiovasc Med       Date:  2021-09-03

2.  The impact of myocardial compressibility on organ-level simulations of the normal and infarcted heart.

Authors:  Hao Liu; João S Soares; John Walmsley; David S Li; Samarth Raut; Reza Avazmohammadi; Paul Iaizzo; Mark Palmer; Joseph H Gorman; Robert C Gorman; Michael S Sacks
Journal:  Sci Rep       Date:  2021-06-29       Impact factor: 4.379

  2 in total

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