Evidence map›Paper›PMID 31741229›Full record

ArticleAnnals of biomedical engineering2020

Ventricular Flow Field Visualization During Mechanical Circulatory Support in the Assisted Isolated Beating Heart.

P Aigner, M Schweiger, K Fraser, Y Choi, F Lemme, N Cesarovic, U Kertzscher, H Schima, M Hübler, M Granegger

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Optimization of flow rate and orientation of outflow graft at implantation for patients with left ventricular assist device.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
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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

10 authors.

P AignerCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Waehringer Guertel 18-20, AKH-4L, 1090, Vienna, Austria. philipp.aigner@meduniwien.ac.at.ORCID http://orcid.org/0000-0002-3212-2112
M SchweigerPediatric Cardiovascular Surgery, Department of Surgery, Pediatric Heart Center, University Children's Hospital Zurich, Zurich, Switzerland.
K FraserDepartment of Mechanical Engineering, University of Bath, Bath, UK.
Y ChoiPediatric Cardiovascular Surgery, Department of Surgery, Pediatric Heart Center, University Children's Hospital Zurich, Zurich, Switzerland.
F LemmePediatric Cardiovascular Surgery, Department of Surgery, Pediatric Heart Center, University Children's Hospital Zurich, Zurich, Switzerland.
N CesarovicDivision of Surgical Research, Department of Surgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
U KertzscherBiofluid Mechanics Laboratory, Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany.
H SchimaCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Waehringer Guertel 18-20, AKH-4L, 1090, Vienna, Austria.
M HüblerPediatric Cardiovascular Surgery, Department of Surgery, Pediatric Heart Center, University Children's Hospital Zurich, Zurich, Switzerland.
M GraneggerPediatric Cardiovascular Surgery, Department of Surgery, Pediatric Heart Center, University Children's Hospital Zurich, Zurich, Switzerland.

Funding

Heidi Ras Foundation Heidi Ras FoundationInternation Society for Mechanical Circulatory Support Helmut Reul Award 2018Internation Society for Mechanical Circulatory Support ISMCS Young Researcher Scholarship 2017
6 · The paper itself

Abstract

Investigations of ventricular flow patterns during mechanical circulatory support are limited to in vitro flow models or in silico simulations, which cannot fully replicate the complex anatomy and contraction of the heart. Therefore, the feasibility of using echocardiographic particle image velocimetry (Echo-PIV) was evaluated in an isolated working heart setup. Porcine hearts were connected to an isolated, working heart setup and a left ventricular assist device (LVAD) was implanted. During different levels of LVAD support (unsupported, partial support, full support), microbubbles were injected and echocardiographic images were acquired. Iterative PIV algorithms were applied to calculate flow fields. The isolated heart setup allowed different hemodynamic situations. In the unsupported heart, diastolic intra-ventricular blood flow was redirected at the heart's apex towards the left ventricular outflow tract (LVOT). With increasing pump speed, large vortex formation was suppressed, and blood flow from the mitral valve directly entered the pump cannula. The maximum velocities in the LVOT were significantly reduced with increasing support. For the first time, cardiac blood flow patterns during LVAD support were visualized and quantified in an ex vivo model using Echo-PIV. The results reveal potential regions of stagnation in the LVOT and, in future the methods might be also used in clinical routine to evaluate intraventricular flow fields during LVAD support.

Indexed as

Heart-Assist DevicesModels, CardiovascularAnimalsBlood Flow VelocityHeart VentriclesRheologySwineEchocardiographic particle image velocimetryLeft ventricular assist deviceMechanical circulatory supportUltrasound velocimetry

Identifiers

PMID31741229
PMCPMC6949310

What OpenQuestion holds

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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.