Evidence map›Paper›PMID 42070250›Full record

ArticleJournal of cardiovascular electrophysiology2026

Dominant Frequency Mapping as a Functional Tool for Substrate-Guided Ventricular Tachycardia Ablation.

Selim M Zor, Wiert Hoeksema, Bart Baselmans, Michiel J B Kemme, Pieter G Postema, Pranav Bhagirath

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Article in Journal of cardiovascular electrophysiology, 2026. 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Selim M ZorDepartment of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands.ORCID https://orcid.org/0009-0004-1431-1907
Wiert HoeksemaDepartment of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands.
Bart BaselmansBiomedical Engineering, Amsterdam University of Applied Sciences, Amsterdam, the Netherlands.
Michiel J B KemmeDepartment of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands.
Pieter G PostemaDepartment of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands.
Pranav BhagirathDepartment of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands.

Funding

Academy Van LeersumDutch Heart Foundation 03-003-2021-T061EHRAKing's College LondonNetherlands Heart Institute FellowshipNHS FoundationNIHR Biomedical Research Centre
6 · The paper itself

Abstract

introductionAccurate identification of arrhythmogenic substrate is essential for successful ventricular tachycardia (VT) ablation, yet existing electrogram-based methods are limited by far-field interference and operator dependence. Dominant frequency (DF) mapping offers a stimulus-independent alternative, but existing implementations lack anatomically integrated workflows with quantitative assessment of spatial concordance.

methodsThe objective of this study is to develop and evaluate a computational workflow for DF mapping with three-dimensional anatomical integration in patients undergoing substrate-guided VT ablation. We retrospectively analyzed 12 patients (mean age 57.5 ± 18.0 years; 75% male) with ischemic or non-ischemic cardiomyopathy. Intracardiac electrograms from SmartTouch or Pentaray catheters were segmented, transformed into the frequency domain, and thresholded using case-specific histograms. DF activity was projected onto patient-specific ventricular meshes, and spatial correspondence with operator-defined ablation sites was quantified using continuous proximity metrics (soft recall, soft precision) and receiver operating characteristic (ROC) analysis.

resultsDF analysis was successful in all cases, with projection errors < 4 mm. DF activity showed high soft recall (0.776-0.999) and variable soft precision (0.025-0.754). ROC AUC values ranged from 0.622 to 0.953, exceeding baseline in all cases. SmartTouch data generally yielded higher recall and greater separation between ablation and non-ablation points.

conclusionDF mapping with anatomical integration is feasible across catheter types and demonstrates consistent spatial concordance with operator-defined VT ablation targets. This stimulus-independent workflow can be applied to routine mapping data and provides a framework for quantitative assessment of spatial relationships with procedural targets. DF values were case-specific and not comparable across patients, catheter types, or institutions. Prospective evaluation in larger cohorts is warranted.

Indexed as

Action PotentialsCatheter AblationElectrophysiologic Techniques, CardiacHeart RateTachycardia, VentricularAdultAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsRetrospective StudiesSignal Processing, Computer-AssistedTreatment Outcomecatheter ablationdominant frequencyfunctional substrate mappingpeak frequencyventricular tachycardia

Identifiers

PMID42070250
PMCPMC13372412

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.