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Record W4410621880 · doi:10.1093/europace/euaf085.741

Ventricular substrate characteristics using omnipolar technology-derived vector disarray and peak frequency

2025· article· en· W4410621880 on OpenAlexaff
Federica Giordano, Chiara Pavone, Anthony J. Greco, Federico Ballacci, Roberto Scacciavillani, Gaetano Pinnacchio, G Bencardino, Francesco Perna, Gianluca Comerci, M L Narducci, Gemma Pelargonio

Bibliographic record

VenueEP Europace · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neural Engineering
Canadian institutionsAbbott (Canada)
Fundersnot available
KeywordsSubstrate (aquarium)Materials scienceMathematicsGeologyOceanography

Abstract

fetched live from OpenAlex

Abstract Background Three-dimensional electroanatomic mapping and ablation of ventricular tachycardias (VT) is a complex process that integrates data from multiple procedural steps, including substrate and activation mapping. Purpose To streamline diagnostic and therapeutic interventions, we applied the omnipolar near-field technology algorithm, with the goal of integrating it into the study of low-voltage areas, deceleration zones (DZs), areas of vector disarray (in sinus rhythm, SR), and critical VT isthmus sites. Methods In this single-center retrospective study, three-dimensional electroanatomic maps in SR of 35 patients (August 2023 to August 2024) were analysed. Substrate analysis focused on identifying low-voltage areas, late potentials, local abnormal ventricular activities (LAVAs), and DZs. Procedures were performed using the EnSite X Cardiac Mapping System (Abbott) with the Advisor HD Grid Mapping Catheter (Abbott). Radiofrequency lesions were delivered when clinically indicated. To quantify vector disarray, we analysed low voltage areas (range 0.04-1.50 mV) displaying omnipolar vectors, and the percentage of disarrayed vectors was calculated manually. Maps were compared via emphasis maps, integrating information from VT and SR maps. Results Over a 12-month period, 10 patients (5 female) underwent transcatheter ventricular mapping procedures for diagnostic purposes, and 25 patients (2 female) underwent VT ablation. Median age was 70 (IQR 54-74) years, with 19 (55.29%) patients with a history of ischemic heart disease. The primary procedure indications were electrical storm in 12 (34.29%), and sustained VT in 13 (37.14%) patients. The approach was endocardial in 30 patients, epicardial in 2, and combined endo-epicardial in 3 patients. The median highest peak frequency (PF) in the SR substrate maps within low-voltage areas was 280 (250-315) Hz. Median vector disarray was 60.27% (51.7-67.9), without significant differences between ischaemic and non-ischaemic cardiomyopathies (p=0.070). Low-voltage areas of VT interest displayed higher peak frequencies and greater vector disarray. Regions with PF above 250 Hz would overlap with chaotic vector areas and low-voltage areas in the majority of patients (82.4% and 85.3% respectively). Among patients with and without area overlap, there were no statistically significant differences in disease type, vector disarray percentage, age, and LVEF, while patients with overlapping areas had significantly larger high-frequency regions (p=0.005 and p=0.006, respectively). Conclusion During sinus rhythm, localisation of areas with increased PF and chaotic and low-voltage areas is frequent, and may aid in the identification of colliding wavefronts in low-voltage tissues during SR, thus characterising a possible arrhythmic substrate. Future studies are needed to investigate its potential advantages to limit the requirement for VT activation mapping.Characteristics of the study population OTNF and vector disarray in SR and VT

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.790

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.255
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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