Evidence map›Paper›PMID 41854990›Full record

ArticleJournal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing2026

Automated analysis of electrogram characteristics in baseline rhythm can distinguish isthmus regions and segments in reentrant ventricular tachycardia.

Deepak Saluja, Jonah A Majumder, Lawrence Zeldin, Haiqiu Yang, Hirad Yarmohammadi, Elaine Y Wan, Edward J Ciaccio, Christine P Hendon, Angelo Biviano

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Article in Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing, 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Deepak SalujaDivision of Cardiology, Columbia Vagelos College of Physicians and Surgeons, New York, NY, 10032, USA. a.saluja@columbia.edu.ORCID http://orcid.org/0000-0002-8258-4374
Jonah A MajumderDepartment of Biomedical Engineering, Fu Foundation School of Engineering and Applied Science (SEAS), Columbia University, New York, NA, 10032, USA.
Lawrence ZeldinDept of Medicine, Columbia Vagelos College of Physicians and Surgeons, New York, NY, 10032, USA.
Haiqiu YangDepartment of Electrical Engineering, Fu Foundation School of Engineering and Applied Science (SEAS), Columbia University, New York, NY, 10032, USA.
Hirad YarmohammadiDivision of Cardiology, Columbia Vagelos College of Physicians and Surgeons, New York, NY, 10032, USA.
Elaine Y WanDivision of Cardiology, Columbia Vagelos College of Physicians and Surgeons, New York, NY, 10032, USA.
Edward J CiaccioDivision of Cardiology, Columbia Vagelos College of Physicians and Surgeons, New York, NY, 10032, USA.
Christine P HendonDepartment of Electrical Engineering, Fu Foundation School of Engineering and Applied Science (SEAS), Columbia University, New York, NY, 10032, USA.
Angelo BivianoDivision of Cardiology, Columbia Vagelos College of Physicians and Surgeons, New York, NY, 10032, USA.

Funding

Fu Foundation School of Engineering and Applied Science SEAS Translational Acceleration Research Award 360237808NHLBI NIH HHS NIH R01HL152236
6 · The paper itself

Abstract

introductionBecause ventricular tachycardia (VT) is often hemodynamically unstable, ablation is typically performed in the baseline rhythm. While prior studies have assessed the electrogram (EGM) features of VT isthmuses mapped in baseline rhythm, they have largely relied on proprietary or manual analysis. We hypothesized that EGM morphologic features could be automatically calculated using the information typically obtained during mapping, and could aid in detecting VT isthmus areas and their components during substrate mapping.

methodsPatients undergoing ischemic VT ablation with detailed electroanatomic maps in both VT and a baseline rhythm were studied. Entrance, middle, exit, and adjacent bystander isthmus segments were determined in VT and registered to baseline rhythm maps. EGM features (voltage, velocity, signal duration, median vector angle difference (MVAD), number of deflections, and the maximum duration between electrogram segments) were assessed in both rhythms and compared between isthmus and non-isthmus regions and between isthmus segments.

resultsThere were 25,284 points in baseline rhythm and 10,923 in VT among 10 patients (all men, median age 67.0 (8.5) years). Significant differences between isthmus and non-isthmus regions were present in all features for both rhythms except for MVAD, which was only significant in VT. Baseline rhythm conduction was progressively more directionally uniform from isthmus entrance to exit. A multivariable regression model of points in baseline rhythm demonstrated an AUC of 0.810 for predicting VT isthmus regions.

conclusionAutomated EGM analysis can help identify isthmus in scar-related VT, different isthmus segments from each other, and may aid in targeting substrate for ablation.

Indexed as

AblationElectroanatomic mappingElectrogramsIsthmusVentricular tachycardia

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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.