Evidence map›Paper›PMID 34188138›Full record

ArticleScientific reports2021

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

Hao Liu, João S Soares, John Walmsley, David S Li, Samarth Raut, Reza Avazmohammadi, Paul Iaizzo, Mark Palmer, Joseph H Gorman, Robert C Gorman and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
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  9. A Neural Network Finite Element Trileaflet Heart Valve Model Incorporating Multi-Body Contact.International journal for numerical methods in biomedical engineering · 2025
    Article
  10. Article
  11. Article
  12. In-silico heart model phantom to validate cardiac strain imaging.bioRxiv : the preprint server for biology · 2024
    Article
  13. Article
  14. Article
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  16. Article
  17. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Hao Liu *James T. Willerson Center for Cardiovascular Modeling and Simulation, The University of Texas at Austin, Austin, TX, USA.
João S Soares *Engineered Tissue Multiscale Mechanics and Modeling Laboratory, Virginia Commonwealth University, Richmond, VA, USA.
John WalmsleyJames T. Willerson Center for Cardiovascular Modeling and Simulation, The University of Texas at Austin, Austin, TX, USA.
David S LiJames T. Willerson Center for Cardiovascular Modeling and Simulation, The University of Texas at Austin, Austin, TX, USA.
Samarth RautJames T. Willerson Center for Cardiovascular Modeling and Simulation, The University of Texas at Austin, Austin, TX, USA.
Reza AvazmohammadiComputational Cardiovascular Bioengineering Lab, Texas A&M University, College Station, TX, USA.
Paul IaizzoVisible Heart Lab, University of Minnesota Twin Cities, Minneapolis, MN, USA.
Mark PalmerCorporate Core Technologies, Medtronic, Inc., Minneapolis, USA.
Joseph H GormanGorman Cardiovascular Research Group, University of Pennsylvania, Philadelphia, PA, USA.
Robert C GormanGorman Cardiovascular Research Group, University of Pennsylvania, Philadelphia, PA, USA.
Michael S SacksJames T. Willerson Center for Cardiovascular Modeling and Simulation, The University of Texas at Austin, Austin, TX, USA. msacks@oden.utexas.edu.

Funding

Quantitative Methods for Optimizing IMR RepairR01HL073021 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI GORMAN, ROBERT C, SACKS, MICHAEL S · 2004 to 2022
$7.6M
Comprehensive Training Program in Imaging Science and InformaticsT32EB007507 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI MARKEY, MIA K, RYLANDER, HENRY GRADY · 2009 to 2024
$2.7M
NHLBI NIH HHS R01 HL073021NIBIB NIH HHS T32 EB007507
6 · The paper itself

Abstract

Myocardial infarction (MI) rapidly impairs cardiac contractile function and instigates maladaptive remodeling leading to heart failure. Patient-specific models are a maturing technology for developing and determining therapeutic modalities for MI that require accurate descriptions of myocardial mechanics. While substantial tissue volume reductions of 15-20% during systole have been reported, myocardium is commonly modeled as incompressible. We developed a myocardial model to simulate experimentally-observed systolic volume reductions in an ovine model of MI. Sheep-specific simulations of the cardiac cycle were performed using both incompressible and compressible tissue material models, and with synchronous or measurement-guided contraction. The compressible tissue model with measurement-guided contraction gave best agreement with experimentally measured reductions in tissue volume at peak systole, ventricular kinematics, and wall thickness changes. The incompressible model predicted myofiber peak contractile stresses approximately double the compressible model (182.8 kPa, 107.4 kPa respectively). Compensatory changes in remaining normal myocardium with MI present required less increase of contractile stress in the compressible model than the incompressible model (32.1%, 53.5%, respectively). The compressible model therefore provided more accurate representation of ventricular kinematics and potentially more realistic computed active contraction levels in the simulated infarcted heart. Our findings suggest that myocardial compressibility should be incorporated into future cardiac models for improved accuracy.

Indexed as

Models, CardiovascularMyocardial ContractionMyocardiumAnimalsDisease Models, AnimalMyocardial InfarctionSheep

Identifiers

PMID34188138
PMCPMC8242073

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.