Evidence map›Paper›PMID 39549392›Full record

ArticleComputer methods and programs in biomedicine2025

Computer model coupling hemodynamics and oxygen transport in the coronary capillary network: Pulsatile vs. non-pulsatile analysis.

Haifeng Wang, Jenny S Choy, Ghassan S Kassab, Lik-Chuan Lee

Abstract read
In one paragraph

Article in Computer methods and programs in biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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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

4 authors.

Haifeng WangDepartment of Mechanical Engineering, Michigan State University, East Lansing, MI, USA. Electronic address: haifeng.wang@rub.de.
Jenny S ChoyCalifornia Medical Innovations Institute, San Diego, CA, USA.
Ghassan S KassabCalifornia Medical Innovations Institute, San Diego, CA, USA.
Lik-Chuan LeeDepartment of Mechanical Engineering, Michigan State University, East Lansing, MI, USA.

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
NHLBI NIH HHS R01 HL160997
6 · The paper itself

Abstract

BACKGROUND AND

objectiveOxygen transport in the heart is crucial, and its impairment can lead to pathological conditions such as hypoxia, ischemia, and heart failure. However, investigating oxygen transport in the heart using in vivo measurements is difficult due to the small size of the coronary capillaries and their deep embedding within the heart wall.

methodsIn this study, we developed a novel computational modeling framework that integrates a 0-D hemodynamic model with a 1-D mass transport model to simulate oxygen transport in/across the coronary capillary network.

resultsThe model predictions agree with analytical solutions and experimental measurements. The framework is used to simulate the effects of pulsatile vs. non-pulsatile behavior of the capillary hemodynamics on oxygen-related metrics such as the myocardial oxygen consumption (MVO

conclusionsThis finding provides the basis for reducing the model complexity by ignoring the pulsatility of coronary capillary hemodynamics in the computational framework without a substantial loss of accuracy when predicting oxygen-related metrics.

Indexed as

CapillariesComputer SimulationHemodynamicsOxygenBiological TransportCoronary VesselsHumansModels, CardiovascularOxygen ConsumptionPulsatile FlowOxygenAdvection-diffusionCapillary hemodynamicsCoronary capillary networkFinite element modelingOxygen consumptionOxygen transport

Identifiers

PMID39549392
PMCPMC12186196

What Socratic holds

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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 Socratic graph.