Evidence map›Paper›PMID 21185403›Full record

ArticleHeart rhythm2011

Mapping of cardiac electrical activation with electromechanical wave imaging: an in silico-in vivo reciprocity study.

Jean Provost, Viatcheslav Gurev, Natalia Trayanova, Elisa E Konofagou

Open access · greenAbstract readComparative Study
In one paragraph

Article in Heart rhythm, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 55 citations in OpenAlex.

  1. Trial
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  4. Cardiac Resynchronization Therapy Response Assessment with Electromechanical Activation Mapping within 24 Hours of Device Implantation: A Pilot Study.Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography · 2021
    Article
  5. Article
  6. 4D cardiac electromechanical activation imaging.Computers in biology and medicine · 2019
    Article
  7. Article
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  9. Article
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  11. Review
  12. Article
  13. Review
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  15. Images as drivers of progress in cardiac computational modelling.Progress in biophysics and molecular biology · 2014
    Review
  16. Article
  17. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Jean ProvostDepartment of Biomedical Engineering, Columbia University, New York, New York, USA.
Viatcheslav Gurev
Natalia Trayanova
Elisa E Konofagou
Columbia University · USJohns Hopkins University · US

Funding

EARLY DETECTION AND MAPPING OF ISCHEMIA USING MYOCARDIAL ELASTOGRAPHYR01EB006042 · NIBIB · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI KONOFAGOU, ELISA E. · 2006 to 2018
$4.3M
Resynchronizing the Failing Heart: Insights from a Multiscale Cardiac ModelR01HL103428 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TRAYANOVA, NATALIA A. · 2011 to 2014
$2.3M
Defibrillation Mechanisms in Infarcted HeartsR01HL082729 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TRAYANOVA, NATALIA A. · 2007 to 2010
$2.1M
Noninvasive arrhythmia mapping using Electromechanical Wave ImagingR01HL114358 · NHLBI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI KONOFAGOU, ELISA E. · 2012 to 2016
$1.9M
Noninvasive conduction mapping using Electromechanical Wave ImagingR21HL096094 · NHLBI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI KONOFAGOU, ELISA E. · 2009 to 2010
$446k
NHLBI NIH HHS R01 HL082729NHLBI NIH HHS R01 HL103428NHLBI NIH HHS R01 HL114358NHLBI NIH HHS R21 HL096094NHLBI NIH HHS R21HL096094NIBIB NIH HHS R01 EB006042NIBIB NIH HHS R01EB006042
6 · The paper itself

Abstract

backgroundElectromechanical wave imaging (EWI) is an entirely noninvasive, ultrasound-based imaging method capable of mapping the electromechanical activation sequence of the ventricles in vivo. Given the broad accessibility of ultrasound scanners in the clinic, the application of EWI could constitute a flexible surrogate for the 3-dimensional electrical activation.

objectiveThe purpose of this report is to reproduce the electromechanical wave (EW) using an anatomically realistic electromechanical model, and establish the capability of EWI to map the electrical activation sequence in vivo when pacing from different locations.

methodsEWI was performed in 1 canine during pacing from 3 different sites. A high-resolution dynamic model of coupled cardiac electromechanics of the canine heart was used to predict the experimentally recorded electromechanical wave. The simulated 3-dimensional electrical activation sequence was then compared with the experimental EW.

resultsThe electrical activation sequence and the EW were highly correlated for all pacing sites. The relationship between the electrical activation and the EW onset was found to be linear, with a slope of 1.01 to 1.17 for different pacing schemes and imaging angles.

conclusionThe accurate reproduction of the EW in simulations indicates that the model framework is capable of accurately representing the cardiac electromechanics and thus testing new hypotheses. The one-to-one correspondence between the electrical activation and the EW sequences indicates that EWI could be used to map the cardiac electrical activity. This opens the door for further exploration of the technique in assisting in the early detection, diagnosis, and treatment monitoring of rhythm dysfunction.

Indexed as

Body Surface Potential MappingAnimalsDogsReproducibility of ResultsUltrasonography

Identifiers

PMID21185403
PMCPMC3100212
OpenAlexW2100205646

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.