Evidence map›Paper›PMID 28744784›Full record

ArticleCardiovascular engineering and technology2017

Modeling Left Ventricular Blood Flow Using Smoothed Particle Hydrodynamics.

Andrés Caballero, Wenbin Mao, Liang Liang, John Oshinski, Charles Primiano, Raymond McKay, Susheel Kodali, Wei Sun

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cardiovascular engineering and technology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 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

8 authors.

Andrés CaballeroThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.
Wenbin MaoThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.
Liang LiangThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.
John OshinskiThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.
Charles PrimianoCardiology Department, The Hartford Hospital, Hartford, CT, USA.
Raymond McKayCardiology Department, The Hartford Hospital, Hartford, CT, USA.
Susheel KodaliStructural Heart & Valve Center, Columbia University Medical Center, New York, NY, USA.
Wei SunThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA. wei.sun@bme.gatech.edu.

Funding

Probabilistic Modeling of Stenotic Aortic Valve InterventionR01HL104080 · NHLBI · UNIVERSITY OF CONNECTICUT STORRS · PI SUN, WEI · 2011 to 2015
$1.9M
Biomechanical study on aortic-mitral coupling in transcatheter aortic valve replacementR21HL127570 · NHLBI · GEORGIA INSTITUTE OF TECHNOLOGY · PI SUN, WEI · 2016 to 2017
$441k
American Heart Association 15POST25910002American Heart Association 16POST30210003National Heart, Lung, and Blood Institute HL104080National Heart, Lung, and Blood Institute HL127570NHLBI NIH HHS R01 HL104080NHLBI NIH HHS R21 HL127570
6 · The paper itself

Abstract

This study aims to investigate the capability of smoothed particle hydrodynamics (SPH), a fully Lagrangian mesh-free method, to simulate the bulk blood flow dynamics in two realistic left ventricular (LV) models. Three dimensional geometries and motion of the LV, proximal left atrium and aortic root are extracted from cardiac magnetic resonance imaging and multi-slice computed tomography imaging data. SPH simulation results are analyzed and compared with those obtained using a traditional finite volume-based numerical method, and to in vivo phase contrast magnetic resonance imaging and echocardiography data, in terms of the large-scale blood flow phenomena usually clinically measured. A quantitative comparison of the velocity fields and global flow parameters between the in silico models and the in vivo data shows a reasonable agreement, given the inherent uncertainties and limitations in the modeling and imaging techniques. The results indicate the capability of SPH as a promising tool for predicting clinically relevant large-scale LV flow information.

Indexed as

Models, CardiovascularAortic ValveCoronary CirculationElectrocardiographyHeart VentriclesHemodynamicsHumansMagnetic Resonance ImagingTomography, X-Ray ComputedVentricular Function, LeftCardiac magnetic resonanceComputational fluid dynamicsHemodynamicsLeft ventricleSmoothed particle hydrodynamics

Identifiers

PMID28744784
PMCPMC5709227

What OpenQuestion holds

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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.