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Updated: Sep 23, 2026

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
Published on: July 20, 2022
High-Density Spectral Analysis for Bi-Atrial Arrhythmogenic Substrate During Non-Paroxysmal Atrial Fibrillation
Nobunari Tomura1, Keitaro Senoo1,2, Taku Ohkawa2
1Department of Cardiovascular Medicine, Graduate School of Medical Sciences Kyoto Prefectural University of Medicine Kyoto Japan.
Background:
Spectral analysis has been utilized to identify localized sites exhibiting high dominant frequency (DF) and high regularity-the critical arrhythmogenic substrate driving atrial fibrillation (AF). This study aimed to elucidate the spectral characteristics of focal activation (FoA) and rotational activation (RoA) sites during AF using a high-density mapping system.
Methods:
CARTOFINDER mapping was prospectively performed in both atria of 47 consecutive non-paroxysmal AF patients using the Octaray catheter prior to ablation. Endocardial unipolar electrograms were exported offline for spectral analysis of DF and the regularity index (RI).
Results:
CARTOFINDER assessed a total of 48 153 mapping points. Given substantial inter-subject variability in mean DF, the difference between each point's DF and the subject-level mean DF was defined as the dominant frequency deviation (DFD). The left atrium (LA) demonstrated significantly higher DFD and RI than the right atrium (both p < 0.001), with the LA roof recording the highest values across all segments. Both FoA and RoA sites exhibited significantly higher DFD and RI compared with sites without FoA and RoA (both p < 0.001). DFD and RI increased progressively with increasing FoA repetitions (both p < 0.001). In contrast, high-repetition RoA sites (> 16 repetitions) showed a significantly higher RI (0.42 ± 0.13 vs. 0.36 ± 0.12, p < 0.001) but a paradoxically lower DFD (0.14 ± 0.64 Hz vs. 0.26 ± 0.74 Hz, p < 0.001) compared with low-repetition RoA sites.
Conclusions:
The combination of CARTOFINDER mapping and spectral analysis may contribute to the mechanistic understanding of non-paroxysmal AF.
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