Evidence map›Paper›PMID 39269637›Full record

ArticleJournal of biomechanical engineering2025

Image-Based Estimation of Left Ventricular Myocardial Stiffness.

Tarek Shazly, Logan Eads, Mia Kazel, Francesco K Yigamawano, Juliana Guest, Traci L Jones, Ahmed A Alshareef, Kurt G Barringhaus, Francis G Spinale

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of biomechanical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Tarek ShazlyCollege of Engineering and Computing, Department of Biomedical Engineering, University of South Carolina, Columbia, SC 29208; College of Engineering and Computing, Department of Mechanical Engineering, University of South Carolina, Columbia, SC 29208; Cardiovascular Translational Research Center, University of South Carolina, Columbia, SC 29208.
Logan EadsCollege of Engineering and Computing, Department of Biomedical Engineering, University of South Carolina, Columbia, SC 29208.
Mia KazelCollege of Engineering and Computing, Department of Biomedical Engineering, University of South Carolina, Columbia, SC 29208.
Francesco K YigamawanoCollege of Engineering and Computing, Department of Biomedical Engineering, University of South Carolina, Columbia, SC 29208.
Juliana GuestCollege of Engineering and Computing, Department of Biomedical Engineering, University of South Carolina, Columbia, SC 29208.
Traci L JonesSchool of Medicine, Department of Cell Biology and Anatomy, University of South Carolina, Columbia, SC 29208.
Ahmed A AlshareefCollege of Engineering and Computing, Department of Biomedical Engineering, University of South Carolina, Columbia, SC 29208; College of Engineering and Computing, Department of Mechanical Engineering, University of South Carolina, Columbia, SC 29208.
Kurt G BarringhausDepartment of Cardiology, Prisma Health, Columbia, SC 29203.
Francis G SpinaleCardiovascular Translational Research Center, University of South Carolina, Columbia, SC 29208; School of Medicine, Department of Cell Biology and Anatomy, University of South Carolina, Columbia, SC 29208; Columbia VA Health Care System, Columbia, SC 29208.

Funding

Fibroblast targeting for myocardial repairR01HL167994 · NHLBI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI FRANCIS G SPINALE · 2023 to 2026
$2.6M
Mechanisms of drug-coated balloon therapyR01HL159620 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI KOLACHALAMA, VIJAYA B. · 2021 to 2024
$2.1M
Therapeutic Targeting of Tissue Inhibitor-4 in Hypertrophy and FailureR01HL130972 · NHLBI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI SPINALE, FRANCIS G · 2016 to 2019
$1.9M
BLRD VA I01 BX000168BLRD VA I01 BX005320Center for Integrated Healthcare, U.S. Department of Veterans Affairs BX000168-10A1Center for Integrated Healthcare, U.S. Department of Veterans Affairs BX005320NHLBI NIH HHS R01 HL130972NHLBI NIH HHS R01HL130972-01A1NHLBI NIH HHS R01 HL159620NHLBI NIH HHS R01-HL159620NHLBI NIH HHS R01 HL167994
6 · The paper itself

Abstract

Elevation in left ventricular (LV) myocardial stiffness is a key remodeling-mediated change that underlies the development and progression of heart failure (HF). Despite the potential diagnostic value of quantifying this deterministic change, there is a lack of enabling techniques that can be readily incorporated into current clinical practice. To address this unmet clinical need, we propose a simple protocol for processing routine echocardiographic imaging data to provide an index of left ventricular myocardial stiffness, with protocol specification for patients at risk for heart failure with preserved ejection fraction. We demonstrate our protocol in both a preclinical and clinical setting, with representative findings that suggest sensitivity and translational feasibility of obtained estimates.

Indexed as

EchocardiographyHeart VentriclesAgedAnimalsBiomechanical PhenomenaFemaleHeart FailureHumansImage Processing, Computer-AssistedMaleMechanical PhenomenaMiddle AgedVentricular Function, Leftcardiac mechanicsheart failure with preserved ejection fractionleft ventricular myocardial stiffnessspeckle tracking echocardiography

Identifiers

PMID39269637
PMCPMC11500801

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.