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Cited by 22Cardiac Arrhythmias and TreatmentsCardiac electrophysiology and arrhythmiasECG Monitoring and Analysis

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

Development of a magnetocardiography-based algorithm for discrimination between ventricular arrhythmias originating from the right ventricular outflow tract and those originating from the aortic sinus cusp: A pilot study

Ito, Yoko, Shiga, Keisuke, Yoshida, Kentaro, Ogata, Kuniomi, Kandori, Akihiko, Inaba, Takeshi, Nakazawa, Yoko, Sekiguchi, Yukio, Tada, Hiroshi, Sekihara, Kensuke, Aonuma, Kazutaka·2014·Heart Rhythm
DOI 10.1016/j.hrthm.2014.05.032
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Abstract

Background Although several reports address characteristic 12-lead electrocardiographic findings of outflow tract ventricular arrhythmias (OT-VAs), the accuracy of electrocardiogram-based algorithms to predict the OT-VA origin is sometimes limited. Objective This study aimed to develop a magnetocardiography (MCG)-based algorithm using a novel adaptive spatial filter to differentiate between VAs originating from the aortic sinus cusp (ASC-VAs) and those originating from the right ventricular outflow tract (RVOT-VAs). Methods This study comprised 51 patients with an OT-VA as the target of catheter ablation. An algorithm was developed by correlating MCG findings with the successful ablation site. The arrhythmias were classified as RVOT-VAs or ASC-VAs. Three parameters were obtained from 3-dimensional MCG imaging: depth of the origin of the OT-VA in the anteroposterior direction; distance between the earliest atrial activation site, that is, sinus node, and the origin of the OT-VA; and orientation of the arrhythmia propagation at the QRS peak. The distance was indexed to the patient's body surface area (in mm/m2). Results Origins of ASC-VAs were significantly deeper (81 ± 6 mm/m(2) vs. 68 ± 8 mm/m(2); P < .01) and farther from the sinus node (55 ± 9 mm/m2 vs. 41 ± 9 mm/m(2); P < .01) than those of RVOT-VAs. ASC-VA propagation had a tendency toward rightward axis. Receiver operating characteristic analyses determined that the depth of the origin was the most powerful predictor, with a sensitivity of 90% and a specificity of 73% (area under the curve = 0.90; P < .01). Discriminant analysis combining all 3 parameters revealed the accuracy of the localization to be 94%. Conclusion This MCG-based algorithm appeared to precisely discriminate ASC-VAs from RVOT-VAs. Further investigation is required to validate the clinical value of this technique.

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Crossref · 10.1016/j.hrthm.2014.05.032

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  • For 3D localization accuracy of the arrhythmogenic site of origin, MCG 3D EAI is more competitive than ECGi.

    “Might MCG 3D EAI be more competitive? For 3D localization accuracy of the arrhythmogenic site of origin, surely yes (181, 246, 247, 249).”

    From Clinical magnetocardiography: the unshielded bet—past, present, and future (2023) · cites this paper as [249]

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Authors
Ito, Y., Shiga, K., Yoshida, K., Ogata, K., Kandori, A., Inaba, T., Nakazawa, Y., Sekiguchi, Y., Tada, H., Sekihara, K., & Aonuma, K.
Affiliations
  • University of Tsukuba (JP)
  • Tokyo Metropolitan University (JP)
  • Hitachi (Japan) (JP)
  • University of Fukui (JP)
Corresponding author
Yoshida, Kentaro
ORCID
Venue
Heart Rhythm
Publisher
Elsevier BV
Published
2014-09
Volume
11
Issue
9
Pages
1605-1612
ISSN
1547-5271 (ISSN-L)
DOI
10.1016/j.hrthm.2014.05.032
OpenAlex
W2130780535
Cited by
22
References
20
Citations by year
2025: 4 · 2024: 3 · 2023: 1 · 2021: 1 · 2020: 2 · 2019: 1 · 2018: 2 · 2017: 2 · 2016: 6
FWCI
1.83
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Heart Rhythm (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Arrhythmias and Treatments
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
Keywords
magnetocardiography, ventricular arrhythmias, right ventricular outflow tract, arrhythmia localization, adaptive spatial filter, catheter ablation, sinoatrial node
MeSH terms
Algorithms, Electrocardiography, Female, Follow-Up Studies, Heart Ventricles, Humans, Male, Middle Aged, Pilot Projects, Retrospective Studies, ROC Curve, Sinus of Valsalva, Catheter Ablation, Tachycardia, Ventricular, Imaging, Three-Dimensional, Magnetocardiography

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