Evidence map›Paper›PMID 29786774›Full record

ArticleAnnals of biomedical engineering2018

Computational Fluid Dynamics Modeling of the Human Pulmonary Arteries with Experimental Validation.

Alifer D Bordones, Matthew Leroux, Vitaly O Kheyfets, Yu-An Wu, Chia-Yuan Chen, Ender A Finol

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

23 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
  3. Human lungs fluid mechanics: an overview of current modelling techniques.The European physical journal. E, Soft matter · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Translation of Animal Study to Human: In Silico Based Development of Implantable Pulmonary Artery Pressure Sensor.International journal for numerical methods in biomedical engineering · 2025
    Article
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  15. Review
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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

6 authors at 3 institutions in 2 countries.

Alifer D BordonesUTSA/UTHSA Joint Graduate Program in Biomedical Engineering, University of Texas at San Antonio, San Antonio, TX, USA.
Matthew LerouxUTSA/UTHSA Joint Graduate Program in Biomedical Engineering, University of Texas at San Antonio, San Antonio, TX, USA.
Vitaly O KheyfetsDepartment of Bioengineering, Anschutz Medical Campus, University of Colorado Denver, Aurora, CO, USA.
Yu-An WuDepartment of Mechanical Engineering, National Chen Kung University, Tainan, 701, Taiwan.
Chia-Yuan ChenDepartment of Mechanical Engineering, National Chen Kung University, Tainan, 701, Taiwan.
Ender A FinolUTSA/UTHSA Joint Graduate Program in Biomedical Engineering, University of Texas at San Antonio, San Antonio, TX, USA. ender.finol@utsa.edu.
The University of Texas at San Antonio · USNational Cheng Kung University · TWUniversity of Colorado Denver · US

Funding

Geometric Surrogates for Clinical Management of Abdominal Aortic AneurysmsR01HL121293 · NHLBI · UNIVERSITY OF TEXAS SAN ANTONIO · PI FINOL, ENDER A · 2015 to 2018
$1.8M
American Heart Association 14GRNT19020017National Institutes of Health R01HL121293NHLBI NIH HHS R01 HL121293
6 · The paper itself

Abstract

Pulmonary hypertension (PH) is a chronic progressive disease characterized by elevated pulmonary arterial pressure, caused by an increase in pulmonary arterial impedance. Computational fluid dynamics (CFD) can be used to identify metrics representative of the stage of PH disease. However, experimental validation of CFD models is often not pursued due to the geometric complexity of the model or uncertainties in the reproduction of the required flow conditions. The goal of this work is to validate experimentally a CFD model of a pulmonary artery phantom using a particle image velocimetry (PIV) technique. Rapid prototyping was used for the construction of the patient-specific pulmonary geometry, derived from chest computed tomography angiography images. CFD simulations were performed with the pulmonary model with a Reynolds number matching those of the experiments. Flow rates, the velocity field, and shear stress distributions obtained with the CFD simulations were compared to their counterparts from the PIV flow visualization experiments. Computationally predicted flow rates were within 1% of the experimental measurements for three of the four branches of the CFD model. The mean velocities in four transversal planes of study were within 5.9 to 13.1% of the experimental mean velocities. Shear stresses were qualitatively similar between the two methods with some discrepancies in the regions of high velocity gradients. The fluid flow differences between the CFD model and the PIV phantom are attributed to experimental inaccuracies and the relative compliance of the phantom. This comparative analysis yielded valuable information on the accuracy of CFD predicted hemodynamics in pulmonary circulation models.

Indexed as

Models, CardiovascularComputer SimulationHumansHydrodynamicsPhantoms, ImagingPrinting, Three-DimensionalPulmonary ArteryRheologyBlood flowComputational fluid dynamicsParticle image velocimetryPulmonary hypertensionShear stress

Identifiers

PMID29786774
PMCPMC6095803
OpenAlexW2804286837

What OpenQuestion holds

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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.