Evidence map›Paper›PMID 32468325›Full record

ArticleJournal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing2021

Automatic annotation of local activation time was improved in idiopathic right ventricular outflow tract ventricular arrhythmia by novel electrogram "Lumipoint" algorithm.

Menghui Liu, Daya Yang, Chen Su, Jie Li, Jingzhou Jiang, Yuedong Ma, Chong Feng, Jun Liu, Anli Tang, Yugang Dong and 2 more

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In one paragraph

Article in Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing, 2021. 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
0.1field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

12 authors at 1 institution in 2 countries.

Menghui Liu *Department of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0001-6021-4447
Daya Yang *Department of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Chen Su *Department of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jie LiDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jingzhou JiangDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yuedong MaDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Chong FengDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jun LiuDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Anli TangDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yugang DongDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jiangui HeDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. hejiangui@163.com.
Lichun WangDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. wanglich@mail.sysu.edu.cn.ORCID https://orcid.org/0000-0002-9757-3256
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePrecise automatic annotation of local activation time (LAT) is crucial for rapid high-density activation mapping in arrhythmia. However, it is still challenging in voltage-transitional areas where local low-amplitude near-field potentials are often obscured by large far-field potentials. The aim of this study was to explore the viability and validity of automatic identification of the earliest activation (EA) in idiopathic right ventricular outflow tract ventricular arrhythmias (RVOT VAs) using a novel Lumipoint algorithm. METHODS AND

resultsTwenty-seven patients with RVOT VAs were mapped with Rhythmia mapping system. Lumipoint algorithms were applied to reannotate the initial activation regions retrospectively. The results showed that LATs were reannotated in 35.0 ± 11.4% points in the initial activation area from bipolar activation breakout time (BBO) to the its 40 ms earlier timepoint. The automatically determined bipolar earliest activation time after Lumipoint reannotation (BEAT-lu: - 111.26 ± 12.13 ms) was significantly earlier than that before (BEAT: - 108.67 ± 12.25 ms, P = 0.000). Compared with manually corrected earliest activation time (EAT), the difference between EAT and BEAT-lu (D

conclusionsRVOT VAs often originate from voltage-transitional zone, and automatic annotation of LAT usually located at later high-amplitude far-field potential. Lumipoint algorithms could improve the accuracy of LAT automatic annotation, and it was plausible to ablate RVOT VAs just according to the automatically annotated BEAS-lu.

Indexed as

Catheter AblationTachycardia, VentricularAlgorithmsArrhythmias, CardiacElectrocardiographyElectrophysiologic Techniques, CardiacHeart VentriclesHumansRetrospective StudiesAutomatic annotationIdiopathic right ventricular outflow tract ventricular arrhythmiasLocal activation timeLumipoint

Identifiers

PMID32468325
OpenAlexW3030522444

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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.