Key result
Omnipolar EGM mapping improves fibrosis detection over standard bipolar mapping in simulation models.
Why the study?
Bipolar electrograms depend on catheter orientation, limiting reliability, prompting evaluation of orientation-insensitive omnipolar EGM mapping for detecting fibrosis and spatial voltage distribution.
Does Omnipolar EGM mapping improve the detection of atrial fibrosis compared to bipolar EGM mapping in an electrophysiological simulation model?
Does Omnipolar EGM mapping improve the detection of atrial fibrosis compared to bipolar EGM mapping in an electrophysiological simulation model?
Omnipolar EGM mapping, particularly with time alignment of bipolar EGMs, demonstrates good performance in detecting atrial fibrosis in simulation models.
Hypothesis-generating for omnipolar mapping in fibrosis detection; does not yet support changes in clinical mapping strategies.
Atrial fibrillation (AF) is the most spread heart arrhythmia, whose mechanisms are not completely clear yet. Catheter ablation is a standard treatment, which isolates the area involved in the arrhythmia. Intracardiac electrograms (EGMs) are used to better understand the AF mechanisms and to find appropriate ablation sites. Bipolar EGMs (b-EGMs) are often employed, but their amplitude and shape depend on catheter orientation, lim-iting reliability. To avoid this uncertainty, an approach insensitive to catheter orientation, referred as Omnipolar EGM (OP-EGM) method, has been introduced, which uses an estimation of the electric field within a group of electrodes, referred as clique. In this work, we compare different mapping approaches based on b-EGMs and OP-EGM signals in simulation including fibrosis, so to evaluate their ability to detect fibrosis and reproduce the spatial distribution of the voltage. Maps have been computed using two clique configurations (square and triangular), introducing or not a previous time alignment of the b-EGMs. OP-EGM signals have been obtained by projecting the electric field along directions of its maximal excursion and its principal components. Results show that the proposed alignment of b-EGMs improves maps based on OP-EGM signals. Both cliques configurations present good performance, in terms of fibrosis detection and correlation with the reference voltage maps.
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Riccio et al. (2020) studied Atrial fibrillation. Omnipolar EGM (OP-EGM) mapping vs. Bipolar EGMs (b-EGMs) was evaluated on Fibrosis detection and correlation with reference voltage maps. Omnipolar EGM mapping with time alignment of bipolar EGMs improved fibrosis detection and correlation with reference voltage maps compared to standard bipolar mapping in simulation models.
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