ArticleJournal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing2023
Reproducibility analysis of the computerized tomography angiography-derived left atrial wall thickness maps.
Article in Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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.
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Who cites it
6 citing papers in PubMed.
- Personalized pulmonary vein isolation guided by left atrial wall thickness for persistent atrial fibrillation ablation: the PeAF-by-LAWT randomized trial.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 · 2025Trial
- Personalized pulmonary vein isolation with very high-power short-duration lesions guided by left atrial wall thickness: the QDOT-by-LAWT randomized trial.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 · 2024Trial
- The Ablate-by-LAWT multicentre prospective study: Personalized paroxysmal atrial fibrillation ablation with ablation index adapted to local left atrial wall thickness.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2024Article
- Assessing left atrial intramyocardial fat infiltration from computerized tomography angiography in patients with atrial fibrillation.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 · 2023Article
- Personalized pulmonary vein antrum isolation guided by left atrial wall thickness for persistent atrial fibrillation.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 · 2023Article
- Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAdapting the ablation index (AI) to the left atrial wall thickness (LAWT) derived from computed tomography angiography (CTA) allows for a personalized approach that showed to improve PVI safety and outcomes.
methodsThree observers with different degrees of experience performed complete LAWT analysis of CTA for 30 patients and repeated the analysis for 10 of these patients. Intra- and inter-observer reproducibility of these segmentations was assessed.
resultsGeometric congruence of repeated reconstruction of LA endocardial surface showed that 99.4% of points in the 3D reconstructed mesh were within < 1 mm distance for the intra-observer variability and 95.1% for the inter-observer. For the LA epicardial surface, an 82.4% of points were within < 1 mm for intra-observer and a 77.7% for inter-observer. A 1.99% of points were further than 2 mm for the intra-observer and a 4.1% for the inter-observer. Colour agreement between LAWT maps showed that a 95.5% and a 92.9% intra- and inter-observer respectively presented the same colour or a change to the colour immediately above or below. The ablation index (AI), which was adapted to this LAWT colour maps to perform a personalized pulmonary vein isolation (PVI), showed an average difference in the derived AI lower than 25 units in all cases. For all analyses, the concordance increased with user-experience.
conclusionGeometric congruence of LA shape was high, for both endocardial and epicardial segmentations. LAWT measurements were reproducible, increasing with user experience. This translated into a negligible impact in the target AI.
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