Evidence map›Paper›PMID 30093340›Full record

ArticleUltrasound in medicine & biology2018

Non-invasive Characterization of Focal Arrhythmia with Electromechanical Wave Imaging in Vivo.

Alexandre Costet, Elaine Wan, Lea Melki, Ethan Bunting, Julien Grondin, Hasan Garan, Elisa Konofagou

Abstract read
In one paragraph

Article in Ultrasound in medicine & biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

7 authors at 2 institutions in 1 country.

Alexandre CostetDepartment of Biomedical Engineering, Columbia University, New York, New York, USA.
Elaine WanDepartment of Medicine-Cardiology, Columbia University, New York, New York, USA.
Lea MelkiDepartment of Biomedical Engineering, Columbia University, New York, New York, USA.
Ethan BuntingDepartment of Biomedical Engineering, Columbia University, New York, New York, USA.
Julien GrondinDepartment of Biomedical Engineering, Columbia University, New York, New York, USA.
Hasan GaranDepartment of Medicine-Cardiology, Columbia University, New York, New York, USA.
Elisa KonofagouDepartment of Biomedical Engineering, Columbia University, New York, New York, USA; Department of Radiology, Columbia University, New York, New York, USA. Electronic address: ek2191@columbia.edu.
Columbia University · USColumbia University Irving Medical Center · 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
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 R01 HL114358NIBIB NIH HHS R01 EB006042
6 · The paper itself

Abstract

There is currently no established method for the non-invasive characterization of arrhythmia and differentiation between endocardial and epicardial triggers at the point of care. Electromechanical wave imaging (EWI) is a novel ultrasound-based imaging technique based on time-domain transient strain estimation that can map and characterize electromechanical activation in the heart in vivo. The objectives of this initial feasibility study were to determine that EWI is capable of differentiating between endocardial and epicardial sources of focal rhythm and, as a proof-of-concept, that EWI could characterize focal arrhythmia in one patient with premature ventricular contractions (PVCs) before radiofrequency (RF) ablation treatment. First, validation of EWI for differentiation of surface of origin was performed in seven (n = 7) adult dogs using four epicardial and four endocardial pacing protocols. Second, one (n = 1) adult patient diagnosed with PVC was imaged with EWI before the scheduled RF ablation procedure, and EWI results were compared with mapping procedure results. In dogs, EWI was capable of detecting whether pacing was of endocardial or epicardial origin in six of seven cases (86% success rate). In the PVC patient, EWI correctly identified both regions and surface of origin, as confirmed by results from the electrical mapping obtained from the RF ablation procedure. These results reveal that EWI can map the electromechanical activation across the myocardium and indicate that EWI could serve as a valuable pre-treatment planning tool in the clinic.

Indexed as

AgedAnimalsArrhythmias, CardiacCatheter AblationDisease Models, AnimalDogsFeasibility StudiesHeartHumansReproducibility of ResultsUltrasonographyArrhythmiasElectromechanical activationElectromechanical wave imagingNon-invasive imagingPremature ventricular contractionStrainUltrasound

Identifiers

PMID30093340
PMCPMC6163072
OpenAlexW2887314825

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.