Key result
A higher number of visible electrodes from each atrial region improved electrocardiographic imaging characterization, yielding lower dominant frequency deviations (0.64 vs 0.72 Hz, p<0.05).
Why the study?
The effect of patient torso and atrial geometry on the resolution of electrocardiographic imaging (ECGI) for characterising AF markers was not well understood.
Does torso and atrial geometry affect the accuracy of non-invasive electrocardiographic imaging (ECGI) in characterizing atrial fibrillation markers?
Does torso and atrial geometry affect the accuracy of non-invasive electrocardiographic imaging (ECGI) in characterizing atrial fibrillation markers?
Torso and atrial geometry significantly affect the accuracy of non-invasive electrocardiographic imaging for reconstructing atrial fibrillation markers, with larger chest dimensions worsening accuracy.
Answers are grounded in this paper and cite their sources.
Electrode visibility may refine ECGI in AF simulations; leaves open clinical validation of geometry-adjusted mapping.
Electrocardiographic imaging (ECGI) can characterise cardiac pathologies such as atrial fibrillation (AF) through specific markers based on frequency or phase analysis. In this study, the effect of the geometry of patients’ torso and atria in the ECGI resolution is studied.A realistic 3D atrial geometry was located on 30 patient torsos and ECGI signals were calculated for 30 different AF simulations in each torso. Dominant frequency (DF) and reentrant activity analysis were calculated for each scenario. Anatomical and geometrical measurements of each torso (30-80% of variability between patients) and atria were calculated and compared with the errors in the ECGI estimation versus the departing EGM maps.Results show evidences that big chest dimensions worsen the non-invasive calculation of AF markers (p<0.05). Also, higher number of visible electrodes from each atrial region improves ECGI characterization measured as lower DF deviations (0.64±0.26 Hz vs 0.72±0.27 Hz, p<0.05) and higher reentrant activity coincidence (10.1±12.2% vs 3.4±3.4%, p<0.05).Torso and atrial geometry affect the quality of the non-invasive reconstruction of AF markers such as DF or reentrant activity. Knowing the geometrical parameters that worsen non-invasive AF maps may help to measure each detected AF driver reliability.
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Molero et al. (2019) studied Atrial fibrillation (n=30). Higher number of visible electrodes vs. Lower number of visible electrodes was evaluated on Dominant frequency deviations (p=<0.05). A higher number of visible electrodes from each atrial region improved electrocardiographic imaging characterization, yielding lower dominant frequency deviations (0.64 vs 0.72 Hz, p<0.05).
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