Evidence map›Paper›PMID 32370754›Full record

ArticleBiomedical engineering online2020

Atrial fibrillation source area probability mapping using electrogram patterns of multipole catheters.

Prasanth Ganesan, Elizabeth M Cherry, David T Huang, Arkady M Pertsov, Behnaz Ghoraani

Open access · goldAbstract read
In one paragraph

Article in Biomedical engineering online, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
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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

5 authors at 4 institutions in 1 country.

Prasanth GanesanDepartment of Computer and Electrical Engineering, Florida Atlantic University, Boca Raton, FL, USA.
Elizabeth M CherrySchool of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
David T HuangDepartment of Cardiology, University of Rochester Medical Center, Rochester, NY, USA.
Arkady M PertsovDepartment of Pharmacology, SUNY Upstate Medical Center, Syracuse, NY, USA.
Behnaz GhoraaniDepartment of Computer and Electrical Engineering, Florida Atlantic University, Boca Raton, FL, USA. bghoraani@fau.edu.ORCID http://orcid.org/0000-0003-0075-7663
Florida Atlantic University · USGeorgia Institute of Technology · USSUNY Upstate Medical University · USUniversity of Rochester Medical Center · US

Funding

Integrative High-Resolution Experimental and Multiscale Modeling of Arrhythmias to Optimize Low Energy Anti-fibrillation Pacing (LEAP)R01HL143450 · NHLBI · GEORGIA INSTITUTE OF TECHNOLOGY · PI Flavio H Fenton · 2018 to 2026
$3.2M
Catheter Guidance Algorithm for Identification of Atrial Fibrillation Ablation TargetsR15HL127663 · NHLBI · ROCHESTER INSTITUTE OF TECHNOLOGY · PI GHORAANI, BEHNAZ · 2015 to 2015
$456k
National Science Foundation (US) TG-IBN050000NNHLBI NIH HHS 1R01HL143450-01NHLBI NIH HHS 7R15HL127663-02
6 · The paper itself

Abstract

backgroundCatheter ablation therapy involving isolation of pulmonary veins (PVs) from the left atrium is performed to terminate atrial fibrillation (AF). Unfortunately, standalone PV isolation procedure has shown to be a suboptimal success with AF continuation or recurrence. One reason, especially in patients with persistent or high-burden paroxysmal AF, is known to be due to the formation of repeating-pattern AF sources with a meandering core inside the atria. However, there is a need for accurate mapping and localization of these sources during catheter ablation.

methodsA novel AF source area probability (ASAP) mapping algorithm was developed and evaluated in 2D and 3D atrial simulated tissues with various arrhythmia scenarios and a retrospective study with three cases of clinical human AF. The ASAP mapping analyzes the electrograms collected from a multipole diagnostic catheter that is commonly used during catheter ablation procedure to intelligently sample the atria and delineate the trajectory path of a meandering repeating-pattern AF source. ASAP starts by placing the diagnostic catheter at an arbitrary location in the atria. It analyzes the recorded bipolar electrograms to build an ASAP map over the atrium anatomy and suggests an optimal location for the subsequent catheter location. ASAP then determines from the constructed ASAP map if an AF source has been delineated. If so, the catheter navigation is stopped and the algorithm provides the area of the AF source. Otherwise, the catheter is navigated to the suggested location, and the process is continued until an AF-source area is delineated.

resultsASAP delineated the AF source in over 95% of the simulated human AF cases within less than eight catheter placements regardless of the initial catheter placement. The success of ASAP in the clinical AF was confirmed by the ablation outcomes and the electrogram patterns at the delineated area.

conclusionOur analysis indicates the potential of the ASAP mapping to provide accurate information about the area of the meandering repeating-pattern AF sources as AF ablation targets for effective AF termination. Our algorithm could improve the success of AF catheter ablation therapy by locating and subsequently targeting patient-specific and repeating-pattern AF sources inside the atria.

Indexed as

Catheter AblationElectrophysiologic Techniques, CardiacAtrial FibrillationHumansProbabilityAtrial fibrillationElectrogram signal analysisPatient-specific therapy

Identifiers

PMID32370754
PMCPMC7201756
OpenAlexW3021318581

What OpenQuestion holds

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LicenceCC BY
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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.