Evidence map›Paper›PMID 32213631›Full record

ArticleScience translational medicine2020

Noninvasive localization of cardiac arrhythmias using electromechanical wave imaging.

Christopher S Grubb, Lea Melki, Daniel Y Wang, James Peacock, Jose Dizon, Vivek Iyer, Carmine Sorbera, Angelo Biviano, David A Rubin, John P Morrow and 10 more

Open access · greenAbstract read
In one paragraph

Article in Science translational medicine, 2020. 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
2.2field-weighted citation impact, top 10% 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, 28 citations in OpenAlex.

  1. Article
  2. Electromechanical wave imaging vs electrocardiographic imaging: a direct comparison of non-invasive ventricular activation mapping modalities.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2026
    Article
  3. Article
  4. Review
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  6. Review
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  11. Article
  12. Twenty-five years of research in cardiac imaging in electrophysiology procedures for atrial and ventricular arrhythmias.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 · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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
  18. 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

20 authors at 2 institutions in 1 country.

Christopher S GrubbDivision of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.ORCID 0000-0003-3954-1202
Lea MelkiUltrasound Elasticity Imaging Laboratory, Department of Biomedical Engineering, Columbia University, New York, NY 10032, USA.ORCID 0000-0001-7738-4696
Daniel Y WangDivision of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
James PeacockDivision of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
Jose DizonDivision of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.ORCID 0000-0002-1808-9782
Vivek IyerDivision of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
Carmine SorberaDivision of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
Angelo BivianoDivision of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.ORCID 0000-0003-0502-4418
David A RubinDivision of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
John P MorrowDivision of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.ORCID 0000-0002-9264-5273
Deepak SalujaDivision of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
Andrew TieuUltrasound Elasticity Imaging Laboratory, Department of Biomedical Engineering, Columbia University, New York, NY 10032, USA.ORCID 0000-0003-3113-3183
Pierre NauleauUltrasound Elasticity Imaging Laboratory, Department of Biomedical Engineering, Columbia University, New York, NY 10032, USA.ORCID 0000-0002-9801-7585
Rachel WeberUltrasound Elasticity Imaging Laboratory, Department of Biomedical Engineering, Columbia University, New York, NY 10032, USA.
Salma ChaudharyDivision of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
Irfan KhurramDivision of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
Marc WaaseDivision of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
Hasan GaranDivision of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
Elisa E KonofagouUltrasound Elasticity Imaging Laboratory, Department of Biomedical Engineering, Columbia University, New York, NY 10032, USA. eyw2003@cumc.columbia.edu ek2191@columbia.edu.ORCID 0000-0002-9636-7936
Elaine Y WanDivision of Cardiology, Department of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA. eyw2003@cumc.columbia.edu ek2191@columbia.edu.ORCID 0000-0002-5328-7282
Columbia University · USColumbia University Irving Medical Center · US

Funding

Arrhythmia mapping using electromechanical wave imagingR01HL140646 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Elisa E. Konofagou · 2018 to 2026
$5.6M
EARLY DETECTION AND MAPPING OF ISCHEMIA USING MYOCARDIAL ELASTOGRAPHYR01EB006042 · NIBIB · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI KONOFAGOU, ELISA E. · 2006 to 2018
$4.3M
Noninvasive arrhythmia mapping using Electromechanical Wave ImagingR01HL114358 · NHLBI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI KONOFAGOU, ELISA E. · 2012 to 2016
$1.9M
Role of Vascular Ion Channels in Heart Failure and Cardiovascular DiseasesK08HL122526 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WAN, ELAINE Y · 2015 to 2019
$788k
Elucidating the molecular mechanisms of cognitive decline in atrial fibrillationR03HL146881 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WAN, ELAINE Y · 2019 to 2020
$162k
NHLBI NIH HHS K08 HL122526NHLBI NIH HHS R01 HL114358NHLBI NIH HHS R01 HL140646NHLBI NIH HHS R03 HL146881NIBIB NIH HHS R01 EB006042
6 · The paper itself

Abstract

Cardiac arrhythmias are a major cause of morbidity and mortality worldwide. The 12-lead electrocardiogram (ECG) is the current noninvasive clinical tool used to diagnose and localize cardiac arrhythmias. However, it has limited accuracy and is subject to operator bias. Here, we present electromechanical wave imaging (EWI), a high-frame rate ultrasound technique that can noninvasively map with high accuracy the electromechanical activation of atrial and ventricular arrhythmias in adult patients. This study evaluates the accuracy of EWI for localization of various arrhythmias in all four chambers of the heart before catheter ablation. Fifty-five patients with an accessory pathway (AP) with Wolff-Parkinson-White (WPW) syndrome, premature ventricular complexes (PVCs), atrial tachycardia (AT), or atrial flutter (AFL) underwent transthoracic EWI and 12-lead ECG. Three-dimensional (3D) rendered EWI isochrones and 12-lead ECG predictions by six electrophysiologists were applied to a standardized segmented cardiac model and subsequently compared to the region of successful ablation on 3D electroanatomical maps generated by invasive catheter mapping. There was significant interobserver variability among 12-lead ECG reads by expert electrophysiologists. EWI correctly predicted 96% of arrhythmia locations as compared with 71% for 12-lead ECG analyses [unadjusted for arrhythmia type: odds ratio (OR), 11.8; 95% confidence interval (CI), 2.2 to 63.2;

Indexed as

Arrhythmias, CardiacCatheter AblationAdultDiagnostic ImagingElectrocardiographyHumansUltrasonography

Identifiers

PMID32213631
PMCPMC7234276
OpenAlexW3013244356

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.