Evidence map›Paper›PMID 29067563›Full record

ArticleAnnals of biomedical engineering2018

Using a Novel In Vitro Fontan Model and Condition-Specific Real-Time MRI Data to Examine Hemodynamic Effects of Respiration and Exercise.

Michael Tree, Zhenglun Alan Wei, Phillip M Trusty, Vrishank Raghav, Mark Fogel, Kevin Maher, Ajit Yoganathan

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Initial clinical validation of a hybridFrontiers in physiology · 2022
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
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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

7 authors.

Michael TreeGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Zhenglun Alan WeiWallace H. Coulter School of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Phillip M TrustyWallace H. Coulter School of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Vrishank RaghavWallace H. Coulter School of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Mark FogelChildren's Hospital of Philadelphia, Philadelphia, PA, USA.
Kevin MaherChildren's Healthcare of Atlanta, Atlanta, GA, USA.
Ajit YoganathanWallace H. Coulter School of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA. ajit.yoganathan@bme.gatech.edu.

Funding

Improving Flow Dynamics in Fontan SurgeriesR01HL067622 · NHLBI · GEORGIA INSTITUTE OF TECHNOLOGY · PI YOGANATHAN, AJIT P · 2002 to 2006
$5.2M
Understanding mechanisms of Fontan failure and key predictors for patient outcomeR01HL098252 · NHLBI · GEORGIA INSTITUTE OF TECHNOLOGY · PI YOGANATHAN, AJIT P · 2010 to 2013
$3.0M
Children's Healthcare of Atlanta 660069-0316NHLBI NIH HHS R01 HL067622NHLBI NIH HHS R01 HL098252
6 · The paper itself

Abstract

Several studies exist modeling the Fontan connection to understand its hemodynamic ties to patient outcomes (Chopski in: Experimental and Computational Assessment of Mechanical Circulatory Assistance of a Patient-Specific Fontan Vessel Configuration. Dissertation, 2013; Khiabani et al. in J Biomech 45:2376-2381, 2012; Taylor and Figueroa in Annu Rev Biomed 11:109-134, 2009; Vukicevic et al. in ASAIO J 59:253-260, 2013). The most patient-accurate of these studies include flexible, patient-specific total cavopulmonary connections. This study improves Fontan hemodynamic modeling by validating Fontan model flexibility against a patient-specific bulk compliance value, and employing real-time phase contrast magnetic resonance flow data. The improved model was employed to acquire velocity field information under breath-held, free-breathing, and exercise conditions to investigate the effect of these conditions on clinically important Fontan hemodynamic metrics including power loss and viscous dissipation rate. The velocity data, obtained by stereoscopic particle image velocimetry, was visualized for qualitative three-dimensional flow field comparisons between the conditions. Key hemodynamic metrics were calculated from the velocity data and used to quantitatively compare the flow conditions. The data shows a multi-factorial and extremely patient-specific nature to Fontan hemodynamics.

Indexed as

Fontan ProcedureModels, CardiovascularPatient-Specific ModelingRespirationChildExerciseFemaleHemodynamicsHumansMagnetic Resonance ImagingMaleExerciseFontan hemodynamicsReal-time MRIRespirationStereo PIV

Identifiers

PMID29067563
PMCPMC5756106

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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 OpenQuestion graph.