Evidence map›Paper›PMID 24695115›Full record

ArticlePloS one2014

Quantitative study of the effect of tissue microstructure on contraction in a computational model of rat left ventricle.

Valentina Carapella, Rafel Bordas, Pras Pathmanathan, Maelene Lohezic, Jurgen E Schneider, Peter Kohl, Kevin Burrage, Vicente Grau

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Influence of fiber connectivity in simulations of cardiac biomechanics.International journal of computer assisted radiology and surgery · 2019
    Article
  3. Article
  4. Review
  5. Human-based approaches to pharmacology and cardiology: an interdisciplinary and intersectorial workshop.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2016
    Article
  6. Article
  7. Images as drivers of progress in cardiac computational modelling.Progress in biophysics and molecular biology · 2014
    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

8 authors.

Valentina CarapellaDepartment of Computer Science, University of Oxford, Oxford, United Kingdom.
Rafel BordasDepartment of Computer Science, University of Oxford, Oxford, United Kingdom.
Pras PathmanathanDepartment of Computer Science, University of Oxford, Oxford, United Kingdom.
Maelene LohezicRadcliffe Department of Medicine, Division of Cardiovascular Medicine, University of Oxford, Oxford, United Kingdom.
Jurgen E SchneiderRadcliffe Department of Medicine, Division of Cardiovascular Medicine, University of Oxford, Oxford, United Kingdom.
Peter KohlNational Heart and Lung Institute, Imperial College, London, United Kingdom.
Kevin BurrageDepartment of Computer Science, University of Oxford, Oxford, United Kingdom.
Vicente GrauInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom.

Funding

Biotechnology and Biological Sciences Research Council BB/I012117Biotechnology and Biological Sciences Research Council E003443British Heart Foundation FS/11/50/29038British Heart Foundation FS/12/17/29532British Heart Foundation NH/13/1/30238British Heart Foundation NH/13/30238
6 · The paper itself

Abstract

Tissue microstructure, in particular the alignment of myocytes (fibre direction) and their lateral organisation into sheets, is fundamental to cardiac function. We studied the effect of microstructure on contraction in a computational model of rat left ventricular electromechanics. Different fibre models, globally rule-based or locally optimised to DT-MRI data, were compared, in order to understand whether a subject-specific fibre model would enhance the predictive power of our model with respect to the global ones. We also studied the impact of sheets on ventricular deformation by comparing: (a) a transversely isotropic versus an orthotropic material law and (b) a linear model with a bimodal model of sheet transmural variation. We estimated ejection fraction, wall thickening and base-to-apex shortening and compared them with measures from cine-MRI. We also evaluated Lagrangian strains as local metrics of cardiac deformation. Our results show that the subject-specific fibre model provides little improvement in the metric predictions with respect to global fibre models while material orthotropy allows closer agreement with measures than transverse isotropy. Nonetheless, the impact of sheets in our model is smaller than that of fibres. We conclude that further investigation of the modelling of sheet dynamics is necessary to fully understand the impact of tissue structure on cardiac deformation.

Indexed as

Heart VentriclesModels, CardiovascularAnimalsFemaleMaleMyocardial ContractionRatsVentricular Function

Identifiers

PMID24695115
PMCPMC3973660

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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.