Evidence map›Paper›PMID 31476587›Full record

ArticleComputers in biology and medicine2019

4D cardiac electromechanical activation imaging.

Julien Grondin, Dafang Wang, Christopher S Grubb, Natalia Trayanova, Elisa E Konofagou

Abstract read
In one paragraph

Article in Computers in biology and medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. 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
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  5. 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
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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

5 authors.

Julien GrondinDepartment of Radiology, Columbia University, 630 W 168th, Street, New York, NY, 10032, USA. Electronic address: jlg2216@columbia.edu.
Dafang WangInstitute of Computational Medicine, Johns Hopkins University, Baltimore, MD, 21218, USA.
Christopher S GrubbDepartment of Medicine, Columbia University, 630 W 168th, Street, New York, NY, 10032, USA.
Natalia TrayanovaInstitute of Computational Medicine, Johns Hopkins University, Baltimore, MD, 21218, USA.
Elisa E KonofagouDepartment of Radiology, Columbia University, 630 W 168th, Street, New York, NY, 10032, USA; Department of Biomedical Engineering, Columbia University, 1210 Amsterdam Avenue, New York, NY, 10027, USA. Electronic address: ek2191@columbia.edu.

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
Virtual Electrophysiology LaboratoryDP1HL123271 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TRAYANOVA, NATALIA A. · 2013 to 2017
$4.0M
Infarct-related Ventricular Tachycardia Mechanisms: From Micro to ClinicalR01HL142496 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TRAYANOVA, NATALIA A. · 2019 to 2022
$3.1M
Exploration of Arrhythmogenic Triggers and Substrates in Heart FailureR01HL126802 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI EFIMOV, IGOR R, GORELIK, JULIA · 2016 to 2019
$2.8M
Noninvasive arrhythmia mapping using Electromechanical Wave ImagingR01HL114358 · NHLBI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI KONOFAGOU, ELISA E. · 2012 to 2016
$1.9M
NHLBI NIH HHS DP1 HL123271NHLBI NIH HHS R01 HL114358NHLBI NIH HHS R01 HL126802NHLBI NIH HHS R01 HL140646NHLBI NIH HHS R01 HL142496NIBIB NIH HHS R01 EB006042
6 · The paper itself

Abstract

Cardiac abnormalities, a major cause of morbidity and mortality, affect millions of people worldwide. Despite the urgent clinical need for early diagnosis, there is currently no noninvasive technique that can infer to the electrical function of the whole heart in 3D and thereby localize abnormalities at the point of care. Here we present a new method for noninvasive 4D mapping of the cardiac electromechanical activity in a single heartbeat for heart disease characterization such as arrhythmia and infarction. Our novel technique captures the 3D activation wave of the heart in vivo using high volume-rate (500 volumes per second) ultrasound with a 32 × 32 matrix array. Electromechanical activation maps are first presented in a normal and infarcted cardiac model in silico and in canine heart during pacing and re-entrant ventricular tachycardia in vivo. Noninvasive 4D electromechanical activation mapping in a healthy volunteer and a heart failure patient are also determined. The technique described herein allows for direct, simultaneous and noninvasive visualization of electromechanical activation in 3D, which provides complementary information on myocardial viability and/or abnormality to clinical imaging.

Indexed as

Arrhythmias, CardiacEchocardiographyElectrophysiologic Techniques, CardiacImage Processing, Computer-AssistedAnimalsDogsHeart Conduction SystemMale3D activation mapping3D ultrasoundCardiac activation mappingCardiac arrhythmiaElectromechanical wave imagingHigh frame rate ultrasound

Identifiers

PMID31476587
PMCPMC6817394

What OpenQuestion holds

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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.