Atrial fibrillation: Can electrograms be interpreted without repolarization information?

Narayan, Sanjiv M.; Zaman, Junaid A.B.; Baykaner, Tina; Franz, Michael R.

doi:10.1016/j.hrthm.2015.12.025

Cited by 6 publications

(7 citation statements)

References 15 publications

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“…Here we established methods to separate far-field from local electrograms in atrial fibrillation, without the need for a reference channel of repolarization data 29 which is rarely available. First, we identified a bias in traditional mapping towards detecting earlier components than true local activation, particularly when using larger clinical electrodes.…”

Section: Discussionmentioning

confidence: 99%

Interpreting Activation Mapping of Atrial Fibrillation: A Hybrid Computational/Physiological Study

et al. 2017

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Atrial fibrillation is the most common rhythm disorder of the heart associated with a rapid and irregular beating of the upper chambers. Activation mapping remains the gold standard to diagnose and interpret atrial fibrillation. However, fibrillatory activation maps are highly sensitive to far-field effects, and often disagree with other optical mapping modalities. Here we show that computational modeling can identify spurious non-local components of atrial fibrillation electrograms and improve activation mapping. We motivate our approach with a cohort of patients with potential drivers of persistent atrial fibrillation. In a computational study using a monodomain Maleckar model, we demonstrate that in organized rhythms, electrograms successfully track local activation, whereas in atrial fibrillation, electrograms are sensitive to spiral wave distance and number, spiral tip trajectories, and effects of fibrosis. In a clinical study, we analyzed n = 15 patients with persistent atrial fibrillation that was terminated by limited ablation. In five cases, traditional activation maps revealed a spiral wave at sites of termination; in ten cases, electrogram timings were ambiguous and activation maps showed incomplete reentry. By adjusting electrogram timing through computational modeling, we found rotational activation, which was undetectable with conventional methods. Our results demonstrate that computational modeling can identify non-local deflections to improve activation mapping and explain how and where ablation can terminate persistent atrial fibrillation. Our hybrid computational/physiological approach has the potential to optimize map-guided ablation and improve ablation therapy in atrial fibrillation.

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Section: Discussionmentioning

confidence: 99%

Interpreting Activation Mapping of Atrial Fibrillation: A Hybrid Computational/Physiological Study

et al. 2017

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“…Separately there is an inability of mapping full rotational activity without an ability to account for repolarization. Activation mapping, therefore, has a tendency to overestimate focal activation, whereas phase mapping overestimates rotational activation . In a small study, no correlation of FIRM mapping and CARTOFINDER detected sources was found …”

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confidence: 92%

“…Activation mapping, therefore, has a tendency to overestimate focal activation, whereas phase mapping overestimates rotational activation. 17 In a small study, no correlation of FIRM mapping and CARTOFINDER detected sources was found. 18 Similar to this study, we identified repetitive activation patterns in all patients with persistent AF at sites where AF terminated with limited ablation, using electrograms obtained from basket catheters, highly suggestive of mechanistic importance of these sites (Figure 1).…”

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confidence: 93%

“…Phase based technologies have been validated to an extent by relatively limited ablation that terminates AF when guided by their respective algorithms. Reliance on a single method of annotation in complex AF electrograms is could be flawed, with multiple methods required to optimize results . Separately there is an inability of mapping full rotational activity without an ability to account for repolarization.…”

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confidence: 99%

“…Reliance on a single method of annotation in complex AF electrograms is could be flawed, with multiple methods required to optimize results. 17 Separately there is an inability of mapping full rotational activity without an ability to account for repolarization.…”

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confidence: 99%

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