Evidence map›Paper›PMID 42488142›Full record

ArticleHeart rhythm O22026

Training in a novel advanced augmented reality-based ablation simulator: Using 3-dimensional magnetic resonance heart models of individual patients improves performance of future electrophysiologists.

Nora Bacha, Ambra Masi, Panagiotis Antiochos, Cheryl Teres, Mathieu Le Bloa, Patrizio Pascale, Adrian Luca, Jorge Solana, Sofia Petropoulou, Samir Bengueddache and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heart rhythm O2, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Digitally assisted learning in cardiac electrophysiology and cardiac implantable electronic devices: a Scientific Statement of the European Heart Rhythm Association of the ESC.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
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

17 authors.

Nora BachaFaculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
Ambra MasiCardiology, Lausanne University Hospital, CHUV, Lausanne, Switzerland.
Panagiotis AntiochosCardiology, Lausanne University Hospital, CHUV, Lausanne, Switzerland.
Cheryl TeresCardiology, Lausanne University Hospital, CHUV, Lausanne, Switzerland.
Mathieu Le BloaCardiology, Lausanne University Hospital, CHUV, Lausanne, Switzerland.
Patrizio PascaleCardiology, Lausanne University Hospital, CHUV, Lausanne, Switzerland.
Adrian LucaCardiology, Lausanne University Hospital, CHUV, Lausanne, Switzerland.
Jorge SolanaCardiology, Lausanne University Hospital, CHUV, Lausanne, Switzerland.
Sofia PetropoulouCardiology, Lausanne University Hospital, CHUV, Lausanne, Switzerland.
Samir BengueddacheCardiology, Lausanne University Hospital, CHUV, Lausanne, Switzerland.
Betim RedzepiCardiology, Lausanne University Hospital, CHUV, Lausanne, Switzerland.
Udaranga WickramasingheADIS SA - Advanced Interactive Systems, Lausanne, Switzerland.
Georges CaronADIS SA - Advanced Interactive Systems, Lausanne, Switzerland.
Hussein BallanADIS SA - Advanced Interactive Systems, Lausanne, Switzerland.
Pascal FuaComputer Science, Federal Institute of Technology Lausanne, EPFL, Lausanne, Switzerland.
Etienne PruvotFaculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
Juerg SchwitterFaculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Arrhythmias are rising worldwide owing to population aging. Efficient ablation training of next-generation electrophysiologists (EPs) is crucial. Dedicated simulators for EP training based on individual patient anatomy do not exist yet. Objective: This study aimed to assess the potential training effects of a novel advanced augmented reality (AAR)-based simulator for ablations. Methods: An AAR-based simulator (ADIS SA, Lausanne, Switzerland) tracks the movements of a physical ablation catheter (Imricor, Burnsville, MN) in real time within a completely virtual 3-dimensional heart generated from cardiac magnetic resonance examinations. Experienced EPs (n = 4) and non-EP cardiologists (n = 5) were trained in catheter steering skills. They performed 5 baseline right atrial flutter ablations (RA-FlAbls) in 5 different hearts, another 15 RA-FlAbl for training, and again 5 RA-FlAbl in the 5 baseline hearts. Efficacy (procedure time/catheter trajectory) and safety (high-force wall contacts >50 g) were recorded for coronary sinus cannulation and cavotricuspid isthmus ablations. Results: 224 RA-FlAbl were performed. The training effect was evaluated using the 5 baseline and 5 post-training RA-FlAbl (43 pairs, 4 dropouts). Before training, non-EPs had 2.6 times longer procedural time and catheter trajectories than EPs (each Conclusion: This feasibility study shows that training by means of an augmented reality-based simulator improves both the efficacy and safety of catheter steering skills for RA-FlAbl of EP trainees. After the training, they obtained a comparable efficacy and safety profile as experienced EPs.

Indexed as

Active tracking ablation cathetersArtificial intelligenceAugmented reality simulationElectrophysiology trainingMagnetic resonance imagingRight atrial flutter ablation

Identifiers

PMID42488142
PMCPMC13390052

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Registered trials

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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.