Evidence map›Paper›PMID 30362080›Full record

Trial reportAnnals of biomedical engineering2019

Impact of Pulmonary Venous Inflow on Cardiac Flow Simulations: Comparison with In Vivo 4D Flow MRI.

Jonas Lantz, Vikas Gupta, Lilian Henriksson, Matts Karlsson, Anders Persson, Carl-Johan Carlhäll, Tino Ebbers

Open access · hybridAbstract readClinical Trial
In one paragraph

Trial report in Annals of biomedical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
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  5. Observational
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  12. Dual-VENC 4D Flow MRI Can Detect Abnormal Blood Flow in the Left Atrium That Potentially Causes Thrombosis Formation after Left Upper Lobectomy.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022
    Article
  13. Non-Newtonian blood rheology impacts left atrial stasis in patient-specific simulations.International journal for numerical methods in biomedical engineering · 2022
    Article
  14. Article
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  16. Review
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  19. Review
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

7 authors at 1 institution in 1 country.

Jonas LantzDivision of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden. jonas.lantz@liu.se.ORCID http://orcid.org/0000-0003-1942-7699
Vikas GuptaDivision of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Lilian HenrikssonCenter for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.
Matts KarlssonCenter for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.
Anders PerssonCenter for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.
Carl-Johan CarlhällDivision of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Tino EbbersDivision of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Linköping University · SE

Funding

Hjärt-Lungfonden 20170440Knut och Alice Wallenbergs Stiftelse Seeing Organ Function
6 · The paper itself

Abstract

Blood flow simulations are making their way into the clinic, and much attention is given to estimation of fractional flow reserve in coronary arteries. Intracardiac blood flow simulations also show promising results, and here the flow field is expected to depend on the pulmonary venous (PV) flow rates. In the absence of in vivo measurements, the distribution of the flow from the individual PVs is often unknown and typically assumed. Here, we performed intracardiac blood flow simulations based on time-resolved computed tomography on three patients, and investigated the effect of the distribution of PV flow rate on the flow field in the left atrium and ventricle. A design-of-experiment approach was used, where PV flow rates were varied in a systematic manner. In total 20 different simulations were performed per patient, and compared to in vivo 4D flow MRI measurements. Results were quantified by kinetic energy, mitral valve velocity profiles and root-mean-square errors of velocity. While large differences in atrial flow were found for varying PV inflow distributions, the effect on ventricular flow was negligible, due to a regularizing effect by mitral valve. Equal flow rate through all PVs most closely resembled in vivo measurements and is recommended in the absence of a priori knowledge.

Indexed as

Coronary VesselsMagnetic Resonance AngiographyModels, CardiovascularPulmonary VeinsAgedBlood Flow VelocityCoronary CirculationFemaleHeart VentriclesHumansMaleMiddle AgedComputational fluid dynamicsDesign-of-experimentsIn vivo measurementsSensitivity analysis

Identifiers

PMID30362080
PMCPMC6342898
OpenAlexW2898602652

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.