Evidence map›Paper›PMID 34260658›Full record

ArticlePloS one2021

A novel algorithm for 3-D visualization of electrogram duration for substrate-mapping in patients with ischemic heart disease and ventricular tachycardia.

Mustafa Masjedi, Christiane Jungen, Pawel Kuklik, Fares-Alexander Alken, Ann-Kathrin Kahle, Niklas Klatt, Katharina Scherschel, Jürgen Lorenz, Christian Meyer

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 13 citations in OpenAlex.

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  8. Wavefront directionality and decremental stimuli synergistically improve identification of ventricular tachycardia substrate: insights from personalized computational heart models.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
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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

9 authors at 6 institutions in 2 countries.

Mustafa MasjediDepartment of Cardiology, Angiology and Intensive Care, EVK Düsseldorf, cNEP, cardiac Neuro- and Electrophysiology Research Consortium, Düsseldorf, Germany.
Christiane JungenDepartment of Cardiology, Leiden University Medical Center, Leiden, Netherlands.
Pawel KuklikDepartment of Cardiology, Asklepios Hospital St. Georg, Hamburg, Germany.
Fares-Alexander AlkenDepartment of Cardiology, Angiology and Intensive Care, EVK Düsseldorf, cNEP, cardiac Neuro- and Electrophysiology Research Consortium, Düsseldorf, Germany.
Ann-Kathrin KahleDepartment of Cardiology, Angiology and Intensive Care, EVK Düsseldorf, cNEP, cardiac Neuro- and Electrophysiology Research Consortium, Düsseldorf, Germany.
Niklas KlattDepartment of Cardiology, Schoen Hospital Neustadt, Neustadt in Holstein, Germany.
Katharina ScherschelDepartment of Cardiology, Angiology and Intensive Care, EVK Düsseldorf, cNEP, cardiac Neuro- and Electrophysiology Research Consortium, Düsseldorf, Germany.
Jürgen LorenzFaculty of Life Sciences, Department of Biomedical Engineering, Applied Science University Hamburg, Hamburg, Germany.
Christian MeyerDepartment of Cardiology, Angiology and Intensive Care, EVK Düsseldorf, cNEP, cardiac Neuro- and Electrophysiology Research Consortium, Düsseldorf, Germany.ORCID 0000-0003-0217-3960
German Centre for Cardiovascular Research · DEHeinrich Heine University Düsseldorf · DEAsklepios Klinik St. Georg · DEHAW Hamburg · DESchön Klinik Neustadt · DEUniversität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMyocardial slow conduction is a cornerstone of ventricular tachycardia (VT). Prolonged electrogram (EGM) duration is a useful surrogate parameter and manual annotation of EGM characteristics are widely used during catheter-based ablation of the arrhythmogenic substrate. However, this remains time-consuming and prone to inter-operator variability. We aimed to develop an algorithm for 3-D visualization of EGM duration relative to the 17-segment American Heart Association model.

methodsTo calculate and visualize EGM duration, in sinus rhythm acquired high-density maps of patients with ischemic cardiomyopathy undergoing substrate-based VT ablation using a 64-mini polar basket-catheter with low noise of 0.01 mV were analyzed. Using a custom developed algorithm based on standard deviation and threshold, the relationship between EGM duration, endocardial voltage and ablation areas was studied by creating 17-segment 3-D models and 2-D polar plots.

results140,508 EGMs from 272 segments (n = 16 patients, 94% male, age: 66±2.4, ejection fraction: 31±2%) were studied and 3-D visualization of EGM duration was performed. Analysis of signal processing parameters revealed that a 40 ms sliding SD-window, 15% SD-threshold and >70 ms EGM duration cutoff was chosen based on diagnostic odds ratio of 12.77 to visualize rapidly prolonged EGM durations. EGMs > 70 ms matched to 99% of areas within dense scar (<0.2 mV), in 95% of zones within scar border zone (0.2-1.0 mV) and detected ablated areas having resulted in non-inducibility at the end of the procedure. Ablation targets were identified with a sensitivity of 65.6% and a specificity of 94.6% avoiding false positive labeling of prolonged EGMs in segments with healthy myocardium.

conclusionThe novel algorithm allows rapid visualization of prolonged EGM durations. This may facilitate more objective characterization of arrhythmogenic substrate in patients with ischemic cardiomyopathy.

Indexed as

AlgorithmsMyocardial IschemiaTachycardia, VentricularAgedCatheter AblationElectrocardiographyElectrophysiologic Techniques, CardiacFemaleHumansImaging, Three-DimensionalMaleMiddle Aged

Identifiers

PMID34260658
PMCPMC8279369
OpenAlexW3180809389

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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.