4.5 Article

Forward-Solution Noninvasive Computational Arrhythmia Mapping: The VMAP Study

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出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1161/CIRCEP.122.010857

关键词

arrhythmias, cardiac; electrophysiology; heart diseases; tachycardia; technology

资金

  1. American Heart Association [AHA 19CDA34760021, 10 BGIA 3500045]
  2. UC San Diego (UCSD) Galvanizing Engineering in Medicine (GEM) Grant
  3. UCSD Rady Meet Grant
  4. National Institutes of Health [NIH 1KL2TR001444]
  5. NIH [HL131753, HL121754]
  6. AHA [AWS 4.0 DGP]
  7. Saving Tiny Hearts Society
  8. University of California Center for Accelerated Innovation Grant

向作者/读者索取更多资源

The study evaluated the accuracy of noninvasive arrhythmia source localization using a computational mapping system, showing that it exceeded prespecified goals for locating atrial and ventricular arrhythmias. Spatial accuracy analysis demonstrated clinically actionable results, suggesting the potential for rapid, noninvasive mapping technology to aid in targeted arrhythmia therapies.
BACKGROUND: The accuracy of noninvasive arrhythmia source localization using a forward-solution computational mapping system has not yet been evaluated in blinded, multicenter analysis. This study tested the hypothesis that a computational mapping system incorporating a comprehensive arrhythmia simulation library would provide accurate localization of the site-of-origin for atrial and ventricular arrhythmias and pacing using 12-lead ECG data when compared with the gold standard of invasive electrophysiology study and ablation. METHODS: The VMAP study (Vectorcardiographic Mapping of Arrhythmogenic Probability) was a blinded, multicenter evaluation with final data analysis performed by an independent core laboratory. Eligible episodes included atrial and ventricular: tachycardia, fibrillation, pacing, premature atrial and ventricular complexes, and orthodromic atrioventricular reentrant tachycardia. Mapping system results were compared with the gold standard site of successful ablation or pacing during electrophysiology study and ablation. Mapping time was assessed from time-stamped logs. Prespecified performance goals were used for statistical comparisons. RESULTS: A total of 255 episodes from 225 patients were enrolled from 4 centers. Regional accuracy for ventricular tachycardia and premature ventricular complexes in patients without significant structural heart disease (n=75, primary end point) was 98.7% (95% CI, 96.0%-100%; P<0.001 to reject predefined H-0 <0.80). Regional accuracy for all episodes (secondary end point 1) was 96.9% (95% CI, 94.7%-99.0%; P<0.001 to reject predefined H-0 <0.75). Accuracy for the exact or neighboring segment for all episodes (secondary end point 2) was 97.3% (95% CI, 95.2%-99.3%; P<0.001 to reject predefined H-0 <0.70). Median spatial accuracy was 15 mm (n=255, interquartile range, 7-25 mm). The mapping process was completed in a median of 0.8 minutes (interquartile range, 0.4-1.4 minutes). CONCLUSIONS: Computational ECG mapping using a forward-solution approach exceeded prespecified accuracy goals for arrhythmia and pacing localization. Spatial accuracy analysis demonstrated clinically actionable results. This rapid, noninvasive mapping technology may facilitate catheter-based and noninvasive targeted arrhythmia therapies.

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