Evidence map›Paper›PMID 30294281›Full record

ReviewFrontiers in physiology2018

Validation and Opportunities of Electrocardiographic Imaging: From Technical Achievements to Clinical Applications.

Matthijs Cluitmans, Dana H Brooks, Rob MacLeod, Olaf Dössel, María S Guillem, Peter M van Dam, Jana Svehlikova, Bin He, John Sapp, Linwei Wang and 1 more

Abstract readReview
In one paragraph

Review in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
–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

62 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Computer-aided characterization of the arrhythmogenic substrate after myocardial infarction.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 · 2026
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The Dutch Idiopathic Ventricular Fibrillation Registry: progress report on the quest to identify the unidentifiable.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2024
    Article
  14. Review
  15. Innovations in ventricular tachycardia ablation.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2023
    Review
  16. Electrocardiographic imaging in the atria.Medical & biological engineering & computing · 2023
    Review
  17. Quantifying and Visualizing Uncertainty for Source Localization in Electrocardiographic Imaging.Computer methods in biomechanics and biomedical engineering. Imaging & visualization · 2023
    Article
  18. Article
  19. Article
  20. Evaluation of photogrammetry for medical application in cardiology.Frontiers in bioengineering and biotechnology · 2023
    Article

2 more citing papers are in PubMed but not listed here.

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

11 authors.

Matthijs CluitmansDepartment of Cardiology, Cardiovascular Research Institute Maastricht Maastricht University, Maastricht, Netherlands.
Dana H BrooksDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA, United States.
Rob MacLeodBiomedical Engineering Department, Scientific Computing and Imaging Institute (SCI), and Cardiovascular Research and Training Institute (CVRTI), The University of Utah, Salt Lake City, UT, United States.
Olaf DösselKarlsruhe Institute of Technology, Karlsruhe, Germany.
María S GuillemITACA, Universitat Politècnican de València, Valencia, Spain.
Peter M van DamDonders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, Netherlands.
Jana SvehlikovaInstitute of Measurement Science, Slovak Academy of Sciences, Bratislava, Slovakia.
Bin HeDepartment of Biomedical Engineering Carnegie Mellon University, Pittsburgh, PA, United States.
John SappQEII Health Sciences Centre and Department of Medicine, Dalhousie University, Halifax, NS, Canada.
Linwei WangRochester Institute of Technology, Rochester, NY, United States.
Laura BearIHU LIRYC, Fondation Bordeaux Université, Inserm U1045 and Université de Bordeaux, Bordeaux, France.

Funding

TRD - VisualizationP41GM103545 · NIGMS · UNIVERSITY OF UTAH · PI JOHNSON, CHRISTOPHER R., MACLEOD, ROB S. · 2012 to 2019
$9.7M
Three Dimensional Electrocardiographic ImagingR01HL080093 · NHLBI · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2007 to 2010
$1.5M
Transmural Electrophysiological Imaging to Guide Catheter Ablation of ArrhythmiasR21HL125998 · NHLBI · ROCHESTER INSTITUTE OF TECHNOLOGY · PI WANG, LINWEI · 2015 to 2016
$419k
NHLBI NIH HHS R01 HL080093NHLBI NIH HHS R21 HL125998NIGMS NIH HHS P41 GM103545
6 · The paper itself

Abstract

Electrocardiographic imaging (ECGI) reconstructs the electrical activity of the heart from a dense array of body-surface electrocardiograms and a patient-specific heart-torso geometry. Depending on how it is formulated, ECGI allows the reconstruction of the activation and recovery sequence of the heart, the origin of premature beats or tachycardia, the anchors/hotspots of re-entrant arrhythmias and other electrophysiological quantities of interest. Importantly, these quantities are directly and non-invasively reconstructed in a digitized model of the patient's three-dimensional heart, which has led to clinical interest in ECGI's ability to personalize diagnosis and guide therapy. Despite considerable development over the last decades, validation of ECGI is challenging. Firstly, results depend considerably on implementation choices, which are necessary to deal with ECGI's ill-posed character. Secondly, it is challenging to obtain (invasive) ground truth data of high quality. In this review, we discuss the current status of ECGI validation as well as the major challenges remaining for complete adoption of ECGI in clinical practice. Specifically, showing clinical benefit is essential for the adoption of ECGI. Such benefit may lie in patient outcome improvement, workflow improvement, or cost reduction. Future studies should focus on these aspects to achieve broad adoption of ECGI, but only after the technical challenges have been solved for that specific application/pathology. We propose 'best' practices for technical validation and highlight collaborative efforts recently organized in this field. Continued interaction between engineers, basic scientists, and physicians remains essential to find a hybrid between technical achievements, pathological mechanisms insights, and clinical benefit, to evolve this powerful technique toward a useful role in clinical practice.

Indexed as

ECG imagingelectrocardiographyelectrophysiologyexperimentvalidation

Identifiers

PMID30294281
PMCPMC6158556

What OpenQuestion holds

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LicenceCC BY
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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.