Man vs machine: Performance of manual vs automated electrocardiogram analysis for predicting the chamber of origin of idiopathic ventricular arrhythmia.
Background: Radiofrequency catheter ablation of idiopathic ventricular arrhythmias (VAs) is performed to eliminate symptoms and to prevent or reverse arrhythmia‐induced cardiomyopathy. Preprocedural prediction of the chamber of VA origin is critical for patient counseling, procedure planning, and gu...
| Publicado en: | Journal of Cardiovascular Electrophysiology Vol. 31; no. 2; pp. 410 - 417 |
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| Autores principales: | , , , , , , , , , , , , , , |
| Formato: | diagnostic images research tables/charts tracings Journal Article |
| Publicado: |
Wiley-Blackwell
Feb2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=141563489&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 141563489 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10453873 GSB jtl: Journal of Cardiovascular Electrophysiology issn: 10453873 maglogo: Y pubinfo: dt: Feb2020 vid: 31 iid: 2 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 141563489 141563489 141563489 10.1111/jce.14320 141563489 ppf: 410 ppct: 7 formats: fmt: @attributes: type: P tig: atl: Man vs machine: Performance of manual vs automated electrocardiogram analysis for predicting the chamber of origin of idiopathic ventricular arrhythmia. aug: au: Asatryan, Babken Ebrahimi, Ramin Strebel, Ivo Dam, Peter M. Kühne, Michael Knecht, Sven Spies, Florian Abächerli, Roger Badertscher, Patrick Kozhuharov, Nikola Zeljkovic, Ivan Schaer, Beat Osswald, Stefan Sticherling, Christian Reichlin, Tobias affil: Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern Switzerland sug: subj: Electrocardiography Methods Arrhythmia, Ventricular Diagnosis Cardiologists Algorithms Sensitivity and Specificity Human Record Review Arrhythmia, Ventricular Surgery Catheter Ablation Methods Vectorcardiography Methods Adult Middle Age Female Male Imaging, Three-Dimensional Methods Heart Ventricle, Left Pathology Heart Ventricle, Right Pathology Premature Ventricular Contractions Diagnosis Adult: 19-44 years Middle Aged: 45-64 years Female Male ab: Background: Radiofrequency catheter ablation of idiopathic ventricular arrhythmias (VAs) is performed to eliminate symptoms and to prevent or reverse arrhythmia‐induced cardiomyopathy. Preprocedural prediction of the chamber of VA origin is critical for patient counseling, procedure planning, and guidance of invasive mapping. Objective: We aimed to assess the performance of manual expert versus automated 12‐lead electrocardiogram (ECG) analysis in the prediction of VA origin. Methods: Patients with ablation of idiopathic VA and sustained success were included. The VA origin was defined as the site where ablation caused arrhythmia suppression. Standard baseline 12‐lead ECGs with documentation of the VA were analyzed manually in a blinded fashion by three electrophysiologists and three electrophysiology (EP) fellows. In addition, the same standard 12‐lead ECG was analyzed by an automated computer algorithm using a vectorcardiographic approach. Results: Thirty‐eight patients (median age, 47 [interquartile range, 37–58]; 68% female) were enrolled. The VA originated from the right ventricle in 24 (63%) and the left ventricle in 14 (37%) patients. The electrophysiologists and EP fellows identified the VA chamber of origin with a similar accuracy of 73% and 72% (P =.72). The automated algorithm showed a higher accuracy of 89% (P =.03 compared with electrophysiologists and EP fellows). This resulted in a sensitivity of 95% and specificity of 86%. Conclusion: While the manual ECG analysis of the standard 12‐lead ECG by both electrophysiologists and EP fellows correctly identified the chamber of VA origin in around 75% of cases, an automated vectorcardiographic computer algorithm achieved an accuracy of 89% with clinically acceptable diagnostic parameters. pubtype: Academic Journal doctype: diagnostic images research tables/charts tracings Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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