Evidence map›Paper›PMID 20049638›Full record

ArticleAnnals of biomedical engineering2010

Incorporating histology into a 3D microscopic computer model of myocardium to study propagation at a cellular level.

Jeroen Stinstra, Rob MacLeod, Craig Henriquez

Open access · greenAbstract read
In one paragraph

Article in Annals of biomedical engineering, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

18 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. A cell-based framework for modeling cardiac mechanics.Biomechanics and modeling in mechanobiology · 2023
    Article
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  9. An audit of uncertainty in multi-scale cardiac electrophysiology models.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020
    Review
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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

3 authors at 2 institutions in 1 country.

Jeroen StinstraScientific Computing and Imaging Institute, University of Utah, 72S Central Campus Drive, 3750 WEB, Salt Lake City, UT 84112, USA. jeroen@cvrti.utah.edu
Rob MacLeod
Craig Henriquez
University of Utah · USDuke University · US

Funding

VOLUME RENDERINGP41RR012553 · NCRR · UNIVERSITY OF UTAH · PI MACLEOD, ROB S. · 1999 to 2011
$15.5M
TRD - VisualizationP41GM103545 · NIGMS · UNIVERSITY OF UTAH · PI JURRUS, ELIZABETH · 2012 to 2019
$9.7M
Modeling Cardiac Impulse Propagation at the MicroscaleR01HL093711 · NHLBI · DUKE UNIVERSITY · PI HENRIQUEZ, CRAIG S · 2009 to 2013
$1.8M
Computational Tools for Multi-Scale Heart ModelingR01HL076767 · NHLBI · DUKE UNIVERSITY · PI HENRIQUEZ, CRAIG S · 2004 to 2007
$1.7M
NCRR NIH HHS P41 RR012553NCRR NIH HHS P41-RR12553-07NHLBI NIH HHS R01 HL076767NHLBI NIH HHS R01 HL093711NIGMS NIH HHS P41 GM103545
6 · The paper itself

Abstract

We introduce a 3D model of cardiac tissue to study at a microscopic level the relationship between tissue morphology and propagation of depolarization. Unlike the classical bidomain approach, in which tissue properties are described by the apparent conductivity of the tissue, in this "microdomain" approach, we included histology by modeling the actual shape of the intracellular and extracellular spaces that contain spatially distributed gap-junctions and membranes. The histological model of the tissue was generated by a computer algorithm that can be tuned to model different histological changes. For healthy tissue, the model predicted a realistic conduction velocity of 0.42 m/s based solely on the parameters derived from histology. A comparison with a brick-shaped, simplified model showed that conduction depended to a moderate extent on the shape of myocytes; a comparison with a one-dimensional bidomain model with the same overall shape and structure showed that the apparent conductivity of the tissue can be used to create an equivalent bidomain model. In summary, the microdomain approach offers a means of directly incorporating structural and functional parameters into models of cardiac activation and propagation and thus provides a valuable bridge between the cellular and tissue domains in the myocardium.

Indexed as

Models, CardiovascularAction PotentialsAnimalsCell CommunicationCells, CulturedComputer SimulationHeart Conduction SystemHumansImaging, Three-DimensionalMicroscopyMyocytes, Cardiac

Identifiers

PMID20049638
PMCPMC3184179
OpenAlexW2124878309

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.