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September 30, 2022Journal of Interventional Cardiac Electrophysiology6 citationsOpen Access

Automated conduction velocity estimation based on isochronal activation of heart chambers

MSMichela SanturriJBJennifer BongaMSMaurizio Schmid

Structured PICO

Does automated conduction velocity estimation based on isochronal activation identify areas of slower conduction in patients with cardiac arrhythmias?

P
Population
29 patients undergoing electro-anatomic mapping, including 16 with perimitral flutter, 4 with common right atrial flutter, 4 with paroxysmal atrial fibrillation, 1 with ventricular tachycardia, and 4 with left accessory pathways (control group).
I
Intervention
Automated conduction velocity (CV) estimation software based on isochronal activation timings using data from the RHYTHMIA Mapping System.
O
Outcome
Identification and spatial distribution of low conduction velocity areas (< 30 cm/s) during cardiac arrhythmias and sinus rhythm.surrogate

Automated conduction velocity estimation using isochronal activation maps successfully identifies patient-specific areas of slow conduction, potentially guiding targeted ablation strategies.

Abstract

BACKGROUND: Spatial differences in conduction velocity (CV) are critical for cardiac arrhythmias induction. We propose a method for an automated CV calculation to identify areas of slower conduction during cardiac arrhythmias and sinus rhythm. METHODS: Color-coded representations of the isochronal activation map using data coming from the RHYTHMIA™ Mapping System were reproduced by applying a temporal isochronal window at 20 ms. Geodesic distances of the 3D mesh were calculated using an algorithm selecting the minimum distance pathway (MDP). The CV estimation was performed considering points on the boundary of two spatially and temporally adjacent isochrones. For each of the boundary points of a given isochrone, the nearest boundary point of the consecutive isochrone was chosen, the MDP was evaluated, and a map of CV was created. The proposed method has been applied to a population of 29 patients. RESULTS: In all cases of perimitral atrial flutter (16 pts out of 29 (55%)), areas with significantly low CV (< 30 cm/s) were found. Half of the cases present regions with low CV located in the anterior wall. No case with low CV at the so-called LA isthmus was observed. Right atrial maps during common atrial flutters showed low CV areas mainly located in the inferior inter-atrial septum. No areas of low CV were observed in subjects without a history of atrial arrhythmia while pts affected by paroxysmal AF showed areas with a limited extension of low CV. CONCLUSIONS: The proposed software for automated CV estimation allows the identification of low CV areas, potentially helping electrophysiologists to plan the ablation strategy.

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Cite This Study

Santurri et al. (2022) studied this question.

synapsesocial.com/papers/6a0f36d0b7d829a1276ca20dhttps://doi.org/10.1007/s10840-022-01339-1
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