Evidence map›Paper›PMID 32386714›Full record

ArticleJournal of biomechanics2020

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

Reza Avazmohammadi, Joao S Soares, David S Li, Thomas Eperjesi, James Pilla, Robert C Gorman, Michael S Sacks

Abstract read
In one paragraph

Article in Journal of biomechanics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  7. In-silico heart model phantom to validate cardiac strain imaging.bioRxiv : the preprint server for biology · 2024
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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

7 authors.

Reza AvazmohammadiJames T. Willerson Center for Cardiovascular Modeling and Simulation, Oden Institute for Computational Engineering and Sciences, Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA; Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA.
Joao S SoaresDepartment of Mechanical and Nuclear Engineering, Virginia Commonweath University, Richmond VA 23284, USA.
David S LiJames T. Willerson Center for Cardiovascular Modeling and Simulation, Oden Institute for Computational Engineering and Sciences, Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Thomas EperjesiGorman Cardiovascular Research Group, Perelman School of Medicine, Department of Surgery, University of Pennsylvania, Philadelphia, PA 19104, USA.
James PillaGorman Cardiovascular Research Group, Perelman School of Medicine, Department of Surgery, University of Pennsylvania, Philadelphia, PA 19104, USA.
Robert C GormanGorman Cardiovascular Research Group, Perelman School of Medicine, Department of Surgery, University of Pennsylvania, Philadelphia, PA 19104, USA.
Michael S SacksJames T. Willerson Center for Cardiovascular Modeling and Simulation, Oden Institute for Computational Engineering and Sciences, Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA. Electronic address: 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
Echocardiography to Predict Recurrent IMR After Surgical Mitral Valve ReplacementR01HL103723 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI GORMAN, ROBERT C, HUNG, JUDY W · 2011 to 2020
$5.3M
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
The effect of systemic hypertension on prognosis of myocardial infarction: Understanding, prediction and therapy evaluationR00HL138288 · NHLBI · TEXAS ENGINEERING EXPERIMENT STATION · PI AVAZMOHAMMADI, REZA · 2020 to 2022
$727k
The effect of systemic hypertension on prognosis of myocardial infarction: Understanding, prediction and therapy evaluationK99HL138288 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI AVAZMOHAMMADI, REZA · 2018 to 2019
$280k
NHLBI NIH HHS K99 HL138288NHLBI NIH HHS R00 HL138288NHLBI NIH HHS R01 HL073021NHLBI NIH HHS R01 HL103723NIBIB NIH HHS T32 EB007507
6 · The paper itself

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)/ΔV

Indexed as

Heart VentriclesMyocardial InfarctionAnimalsMyocardiumSheepSystoleVentricular Function, LeftVentricular RemodelingCardiac functionCompressibilityKinematicsMyocardiumPerfusion

Identifiers

PMID32386714
PMCPMC7433024

What OpenQuestion holds

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Registered trials

None linked

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.