Evidence map›Paper›PMID 40687557›Full record

ArticleFrontiers in cardiovascular medicine2025

A novel enhanced stability detection algorithm for ablation catheters: purpose and application in high-power short-duration ablation.

Chiara Valeriano, Benjamin Berte, Ofer Klemm, Alona Sigal, Eid Zaknoun, Dimitri Buytaert, Tom De Potter

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Article in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Chiara Valeriano *Cardiovascular Center Aalst, Arrhythmia Unit, OLV Hospital, Aalst, Belgium.
Benjamin Berte *Heart Center, Hirslanden St Anna, Lucerne, Switzerland.
Ofer KlemmR and D Department, Biosense Webster, Inc, Tirat HaCarmel, Israel.
Alona SigalR and D Department, Biosense Webster, Inc, Tirat HaCarmel, Israel.
Eid ZaknounR and D Department, Biosense Webster, Inc, Tirat HaCarmel, Israel.
Dimitri BuytaertCardiovascular Center Aalst, Arrhythmia Unit, OLV Hospital, Aalst, Belgium.
Tom De PotterCardiovascular Center Aalst, Arrhythmia Unit, OLV Hospital, Aalst, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Assessing catheter stability during ablation procedures is crucial. The current stability algorithm relies on end-expiration reference frame (Gated), requiring a full respiratory cycle before lesion tagging. This poses challenges with high-power, short-duration (HPSD) radiofrequency ablation workflows. To overcome these limitations, a novel algorithm, called Stability+, has been developed. It provides real-time tracking and analysis of catheter motion throughout the entire respiratory cycle. Objective: The aim of our study was to assess the performance of the new Stability + algorithm in HPSD ablations and to compare it with the current algorithm. Methods: Data from a series of consecutive left atrial ablations employing the new Stability + algorithm were prospectively collected. A retrospective analysis was conducted to compare the two algorithms. Results: A total of 1,056 applications were delivered, 123 (11.6%) using QMODE + (90 W, 3-4 s), and 933 (88.4%) using QMODE (50 W, ablation index guided 350/500). The number of unstable applications, outside the end-expiration phase, was detected with the Stability + for 9 positions (7.3%) using the QMODE+. Average time-to-tag appearance was 2.5 ± 1 s with the Stability + vs. 9 ± 1.1 s with the Gated algorithm. During QMODE ablation sessions, the Stability + algorithm prevented overshooting in 84% of the ablation positions. No steam pop or perforation occurred. Conclusion: The novel Stability + algorithm enhances lesion tracking for HPSD workflows like QMODE+/QMODE and holds the potential to improve stability detection across all radiofrequency ablation modes, marking a significant advancement in the field.

Indexed as

atrial fibrallationhigh power short durationpulmonary vein isolation (PVI)radiofreqency ablationstability+

Identifiers

PMID40687557
PMCPMC12271187

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