Evidence map›Paper›PMID 24557691›Full record

ArticleIEEE transactions on bio-medical engineering2014

An efficient finite element approach for modeling fibrotic clefts in the heart.

Caroline Mendonca Costa, Fernando O Campos, Anton J Prassl, Rodrigo Weber dos Santos, Damián Sánchez-Quintana, Helmut Ahammer, Ernst Hofer, Gernot Plank

Abstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Review
  2. Article
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  4. Article
  5. Homogenisation for the monodomain model in the presence of microscopic fibrotic structures.Communications in nonlinear science & numerical simulation · 2023
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  11. Review
  12. 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

8 authors.

Caroline Mendonca Costa
Fernando O Campos
Anton J Prassl
Rodrigo Weber dos Santos
Damián Sánchez-Quintana
Helmut Ahammer
Ernst Hofer
Gernot Plank

Funding

Austrian Science Fund FWF F 3210NHLBI NIH HHS 1R01 HL 10119601
6 · The paper itself

Abstract

Advanced medical imaging technologies provide a wealth of information on cardiac anatomy and structure at a paracellular resolution, allowing to identify microstructural discontinuities which disrupt the intracellular matrix. Current state-of-the-art computer models built upon such datasets account for increasingly finer anatomical details, however, structural discontinuities at the paracellular level are typically discarded in the model generation process, owing to the significant costs which incur when using high resolutions for explicit representation. In this study, a novel discontinuous finite element (dFE) approach for discretizing the bidomain equations is presented, which accounts for fine-scale structures in a computer model without the need to increase spatial resolution. In the dFE method, this is achieved by imposing infinitely thin lines of electrical insulation along edges of finite elements which approximate the geometry of discontinuities in the intracellular matrix. Simulation results demonstrate that the dFE approach accounts for effects induced by microscopic size scale discontinuities, such as the formation of microscopic virtual electrodes, with vast computational savings as compared to high resolution continuous finite element models. Moreover, the method can be implemented in any standard continuous finite element code with minor effort.

Indexed as

Models, CardiovascularAlgorithmsAnimalsComputer SimulationEndomyocardial FibrosisFinite Element AnalysisHeartHeart VentriclesImage Processing, Computer-AssistedMyocardiumMyocytes, CardiacRabbits

Identifiers

PMID24557691
PMCPMC3971459

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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.