Evidence map›Paper›PMID 37671365›Full record

ArticleFunctional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH (Conference)2023

On the possibility of estimating myocardial fiber architecture from cardiac strains.

Muhammad Usman, Emilio A Mendiola, Tanmay Mukherjee, Rana Raza Mehdi, Jacques Ohayon, Prasanna G Alluri, Sakthivel Sadayappan, Gaurav Choudhary, Reza Avazmohammadi

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In one paragraph

Article in Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH (Conference), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
7.8field-weighted citation impact, top 2% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Estimation of Active Tension in Cardiac Microtissues by Solving a PDE-Constrained Optimization Problem.International journal for numerical methods in biomedical engineering · 2025
    Article
  3. Article
  4. 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 at 5 institutions in 2 countries.

Muhammad UsmanDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA.
Emilio A MendiolaDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA.
Tanmay MukherjeeDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA.
Rana Raza MehdiDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA.
Jacques OhayonSavoie Mont-Blanc University, Polytech Annecy-Chambéry, Le Bourget du Lac, France.
Prasanna G AlluriDepartment of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX 75390, USA.
Sakthivel SadayappanDepartment of Internal Medicine, Division of Cardiovascular Health and Disease, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.
Gaurav ChoudharyDepartment of Medicine, Alpert Medical School of Brown University, Providence, RI 02903, USA.
Reza AvazmohammadiDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA.
Texas A&M University · USHouston Methodist · USBrown University · USThe University of Texas Southwestern Medical Center · USUniversity of Cincinnati Medical Center · US

Funding

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
British Heart Foundation FS/20/26/34952NHLBI NIH HHS R00 HL138288
6 · The paper itself

Abstract

The myocardium is composed of a complex network of contractile myofibers that are organized in such a way as to produce efficient contraction and relaxation of the heart. The myofiber architecture in the myocardium is a key determinant of cardiac motion and the global or organ-level function of the heart. Reports of architectural remodeling in cardiac diseases, such as pulmonary hypertension and myocardial infarction, potentially contributing to cardiac dysfunction call for the inclusion of an architectural marker for an improved assessment of cardiac function. However, the in-vivo quantification of three-dimensional myo-architecture has proven challenging. In this work, we examine the sensitivity of cardiac strains to varying myofiber orientation using a multiscale finite-element model of the LV. Additionally, we present an inverse modeling approach to predict the myocardium fiber structure from cardiac strains. Our results indicate a strong correlation between fiber orientation and LV kinematics, corroborating that the fiber structure is a principal determinant of LV contractile behavior. Our inverse model was capable of accurately predicting the myocardial fiber range and regional fiber angles from strain measures. A concrete understanding of the link between LV myofiber structure and motion, and the development of non-invasive and feasible means of characterizing the myocardium architecture is expected to lead to advanced LV functional metrics and improved prognostic assessment of structural heart disease.

Indexed as

cardiac strainsleft ventriclemagnetic resonance imagingMyocardium architecture

Identifiers

PMID37671365
PMCPMC10478796
OpenAlexW4380789019

What OpenQuestion holds

Textmetadata
LicenceTDM
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.