Evidence map›Paper›PMID 42839746›Full record

ArticleInternational journal for numerical methods in biomedical engineering2026

A Poroelastic Computational Modeling Framework Coupling Left Ventricular Cardiac Mechanics and Myocardial Perfusion.

Haowei An, Vahid Ziaei-Rad, Lik-Chuan Lee

Abstract read
In one paragraph

Article in International journal for numerical methods in biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Haowei AnDepartment of Mechanical Engineering, Michigan State University, East Lansing, Michigan, USA.
Vahid Ziaei-RadDepartment of Mechanical Engineering, Michigan State University, East Lansing, Michigan, USA.
Lik-Chuan LeeDepartment of Mechanical Engineering, Michigan State University, East Lansing, Michigan, USA.ORCID https://orcid.org/0000-0002-1123-6428

Funding

Mechanisms of coronary flow heterogeneity: Implications for coronary sinus occlusion therapyR01HL160997 · NHLBI · CALIFORNIA MEDICAL INNOVATIONS INSTITUTE · PI KASSAB, GHASSAN S, LEE, LIK CHUAN · 2022 to 2025
$2.7M
National Science Foundation 2222066NHLBI NIH HHS R01 HL160997NIH HHS HL160997
6 · The paper itself

Abstract

We present a computational modeling framework coupling a poroelastic left ventricle (LV) with lumped-parameter descriptions of the coronary and systemic circulations in a closed-loop system. The finite element method, with P1-P1-P0 discretization of the displacement, Darcy flow and pore-pressure fields, is used to solve the boundary value problem associated with the poroelastic formulation. We show that simulation of the isolated non-contractile poroelastic LV can reproduce perfusion-induced stiffening features found in measurements of pressure-volume relationships with less than 1 mmHg error. Simulations coupling the poroelastic LV with systemic and coronary circulatory models also show that the framework can produce phasic changes in coronary flow rate and myocardial wall volume that agree with the experiments. Using the framework, we investigate the effects of coronary sinus (CS) resistance on myocardial perfusion. We show that increasing CS resistance attenuates coronary flow rate, increases myocardial pore pressure, and promotes myocardial swelling.

Indexed as

Computer SimulationCoronary CirculationHeart VentriclesModels, CardiovascularVentricular Function, LeftElasticityFinite Element AnalysisHumanscardiac mechanicscoronary blood flowcoronary sinus interventionsmyocardial perfusionporoelasticity

Identifiers

PMID42839746
PMCPMC13643356

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Registered trials

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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.