Evidence map›Paper›PMID 37302374›Full record

ArticleComputers in biology and medicine2023

Electromechanical Cycle Length Mapping for atrial arrhythmia detection and cardioversion success assessment.

Melina Tourni, Seungyeon Julia Han, Rachel Weber, Mary Kucinski, Elaine Y Wan, Angelo B Biviano, Elisa E Konofagou

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computers in biology and medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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 1 institution in 1 country.

Melina TourniDepatrment of Biomedical Engineering, Columbia University, 630 W 168th Street, New York, 10032, NY, USA. Electronic address: mt3393@columbia.edu.
Seungyeon Julia HanDepatrment of Biomedical Engineering, Columbia University, 630 W 168th Street, New York, 10032, NY, USA.
Rachel WeberDepatrment of Biomedical Engineering, Columbia University, 630 W 168th Street, New York, 10032, NY, USA.
Mary KucinskiDepatrment of Biomedical Engineering, Columbia University, 630 W 168th Street, New York, 10032, NY, USA.
Elaine Y WanDepartment of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, 630 W 168th Street, New York, 10032, NY, USA.
Angelo B BivianoDepartment of Medicine and Vagelos College of Physicians and Surgeons, Columbia University, 630 W 168th Street, New York, 10032, NY, USA.
Elisa E KonofagouDepatrment of Biomedical Engineering, Columbia University, 630 W 168th Street, New York, 10032, NY, USA; Department of Radiology, Columbia University, 630 W 168th Street, New York, 10032, NY, USA. Electronic address: ek2191@columbia.edu.
Columbia University · US

Funding

Arrhythmia mapping using electromechanical wave imagingR01HL140646 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Elisa E. Konofagou · 2018 to 2026
$5.6M
Understanding the role of mitochondrial dysfunction in cardiac arrhythmias using a novel 3D panoramic optical mapping systemR01HL152236 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WAN, ELAINE Y · 2020 to 2024
$2.0M
NHLBI NIH HHS R01 HL140646NHLBI NIH HHS R01 HL152236
6 · The paper itself

Abstract

backgroundDirect current cardioversion (DCCV) is an established treatment to acutely convert atrial fibrillation (AF) to normal sinus rhythm. Yet, more than 70% of patients revert to AF shortly thereafter. Electromechanical Cycle Length Mapping (ECLM) is a high framerate, spectral analysis technique shown to non-invasively characterize electromechanical activation in paced canines and re-entrant flutter patients. This study assesses ECLM feasibility to map and quantify atrial arrhythmic electromechanical activation rates and inform on 1-day and 1-month DCCV response.

methodsForty-five subjects (30 AF; 15 healthy sinus rhythm (SR) controls) underwent transthoracic ECLM in four standard apical 2D echocardiographic views. AF patients were imaged within 1 h pre- and post-DCCV. 3D-rendered atrial ECLM cycle length (CL) maps and spatial CL histograms were generated. CL dispersion and percentage of arrhythmic CLs≤333ms across the entire atrial myocardium were computed transmurally. ECLM results were subsequently used as indicators of DCCV success.

resultsECLM successfully confirmed the electrical atrial activation rates in 100% of healthy subjects (R

conclusionsECLM can characterize electromechanical activation rates in AF, quantify their extent, and identify and predict short- and long-term AF recurrence. ELCM constitutes thus a noninvasive arrhythmia imaging modality that can aid clinicians in simultaneous AF severity quantification, prediction of AF DCCV response, and personalized treatment planning.

Indexed as

Atrial FibrillationElectric CountershockAnimalsDogsEchocardiographyHeart AtriaTreatment OutcomeAtrial cycle lengthAtrial fibrillationCardioversionEchocardiographyElectromechanical activationHigh frame rate ultrasoundResponse prediction

Identifiers

PMID37302374
PMCPMC10527498
OpenAlexW4378951578

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.