Evidence map›Paper›PMID 36609707›Full record

ArticleEuropace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology2023

Orientation of conduction velocity vectors on cardiac mapping surfaces.

Jairo Rodriguez Padilla, Robert D Anderson, Christian Joens, Stephane Masse, Abhishek Bhaskaran, Ahmed Niri, Patrick Lai, Mohammed Ali Azam, Geoffrey Lee, Edward Vigmond and 1 more

Open access · hybridAbstract read
In one paragraph

Article in 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. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Computer-aided characterization of the arrhythmogenic substrate after myocardial infarction.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 · 2026
    Review
  2. Identifying extra pulmonary vein targets for persistent atrial fibrillation ablation: bridging advanced and conventional mapping techniques.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 · 2025
    Article
  3. Observational
  4. Near-field detection and peak frequency metric for substrate and activation mapping of ventricular tachycardias in two- and three-dimensional circuits.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 · 2024
    Article
  5. 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

11 authors at 3 institutions in 3 countries.

Jairo Rodriguez PadillaIHU Liryc, Hôpital Xavier Arnozan, Pessac cedex, France.ORCID 0000-0002-2013-1898
Robert D AndersonHull Family Cardiac Fibrillation Management Laboratory, Division of Cardiology, University Health Network, Toronto General Hospital, 150 Gerrard Street West, GW3-526, Toronto, Ontario M5G 2C4, Canada.ORCID 0000-0001-6120-3547
Christian JoensHull Family Cardiac Fibrillation Management Laboratory, Division of Cardiology, University Health Network, Toronto General Hospital, 150 Gerrard Street West, GW3-526, Toronto, Ontario M5G 2C4, Canada.ORCID 0000-0002-1876-2623
Stephane MasseHull Family Cardiac Fibrillation Management Laboratory, Division of Cardiology, University Health Network, Toronto General Hospital, 150 Gerrard Street West, GW3-526, Toronto, Ontario M5G 2C4, Canada.ORCID 0000-0003-4081-0406
Abhishek BhaskaranHull Family Cardiac Fibrillation Management Laboratory, Division of Cardiology, University Health Network, Toronto General Hospital, 150 Gerrard Street West, GW3-526, Toronto, Ontario M5G 2C4, Canada.ORCID 0000-0003-2963-4907
Ahmed NiriHull Family Cardiac Fibrillation Management Laboratory, Division of Cardiology, University Health Network, Toronto General Hospital, 150 Gerrard Street West, GW3-526, Toronto, Ontario M5G 2C4, Canada.ORCID 0000-0002-6743-1628
Patrick LaiHull Family Cardiac Fibrillation Management Laboratory, Division of Cardiology, University Health Network, Toronto General Hospital, 150 Gerrard Street West, GW3-526, Toronto, Ontario M5G 2C4, Canada.ORCID 0000-0002-8355-7183
Mohammed Ali AzamHull Family Cardiac Fibrillation Management Laboratory, Division of Cardiology, University Health Network, Toronto General Hospital, 150 Gerrard Street West, GW3-526, Toronto, Ontario M5G 2C4, Canada.
Geoffrey LeeDepartment of Cardiology, Royal Melbourne Hospital, Parkville, Victoria, Australia.
Edward VigmondIHU Liryc, Hôpital Xavier Arnozan, Pessac cedex, France.ORCID 0000-0003-1388-3589
Kumaraswamy NanthakumarHull Family Cardiac Fibrillation Management Laboratory, Division of Cardiology, University Health Network, Toronto General Hospital, 150 Gerrard Street West, GW3-526, Toronto, Ontario M5G 2C4, Canada.ORCID 0000-0002-8784-1122
University Health Network · CAElectrophysiology and Heart Modeling Institute · FRThe Royal Melbourne Hospital · AU

Funding

Lefoulon Delalande Foundation
6 · The paper itself

Abstract

aimsElectroanatomical maps using automated conduction velocity (CV) algorithms are now being calculated using two-dimensional (2D) mapping tools. We studied the accuracy of mapping surface 2D CV, compared to the three-dimensional (3D) vectors, and the influence of mapping resolution in non-scarred animal and human heart models. METHODS AND

resultsTwo models were used: a healthy porcine Langendorff model with transmural needle electrodes and a computer stimulation model of the ventricles built from an MRI-segmented, excised human heart. Local activation times (LATs) within the 3D volume of the mesh were used to calculate true 3D CVs (direction and velocity) for different pixel resolutions ranging between 500 μm and 4 mm (3D CVs). CV was also calculated for endocardial surface-only LATs (2D CV). In the experimental model, surface (2D) CV was faster on the epicardium (0.509 m/s) compared to the endocardium (0.262 m/s). In stimulation models, 2D CV significantly exceeded 3D CVs across all mapping resolutions and increased as resolution decreased. Three-dimensional and 2D left ventricle CV at 500 μm resolution increased from 429.2 ± 189.3 to 527.7 ± 253.8 mm/s (P < 0.01), respectively, with modest correlation (R = 0.64). Decreasing the resolution to 4 mm significantly increased 2D CV and weakened the correlation (R = 0.46). The majority of CV vectors were not parallel (<30°) to the mapping surface providing a potential mechanistic explanation for erroneous LAT-based CV over-estimation.

conclusionVentricular CV is overestimated when using 2D LAT-based CV calculation of the mapping surface and significantly compounded by mapping resolution. Three-dimensional electric field-based approaches are needed in mapping true CV on mapping surfaces.

Indexed as

Heart Conduction SystemHeart VentriclesAnimalsEndocardiumHumansMagnetic Resonance ImagingPericardiumSwineConduction velocityElectrophysiologySimulationVentricular

Identifiers

PMID36609707
PMCPMC10062359
OpenAlexW4313638818

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.