Key result
Multi-electrode bioimpedance successfully estimates epicardial fat thickness in a computer model.
Why the study?
Can bioimpedance measurement using a multi-electrode probe accurately estimate epicardial fat quantity prior to RF intraoperative cardiac ablation in a theoretical model?
Can bioimpedance measurement using a multi-electrode probe accurately estimate epicardial fat quantity prior to RF intraoperative cardiac ablation in a theoretical model?
Bioimpedance measurement using a multi-electrode probe is a theoretically feasible method to map epicardial fat thickness prior to radiofrequency ablation.
Bioimpedance probe may enable epicardial fat quantification; leaves open whether it improves RF ablation efficacy.
Radiofrequency (RF) cardiac ablation is used to treat certain types of arrhythmias. In the epicardial approach, efficacy of RF ablation is uncertain due to the presence of epicardial adipose tissue interposed between the ablation electrode and the atrial wall. We planned a feasibility study based on a theoretical model in order to assess a new technique to estimate the quantity of fat by conducting bioimpedance measurements using a multi-electrode probe. The finite element method was used to solve the electrical problem. The results showed that the measured impedance profile coincided approximately with the epicardial fat profile measured under the probe electrodes and also that the thicker the epicardial fat, the higher the impedance values. When the lateral fat width was less than 4.5 mm, the impedance values altered, suggesting that measurements should always be conducted over a sizeable fat layer. We concluded that impedance measurement could be a practical method of assessing epicardial fat prior to RF intraoperative cardiac ablation, i.e. 'to map' the amount of adipose tissue under the probe.
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González‐Suárez et al. (2010) studied Arrhythmias. Bioimpedance measurement using a multi-electrode probe was evaluated on Estimation of epicardial fat quantity. Bioimpedance measurement using a multi-electrode probe in a computer model successfully estimated epicardial fat thickness, with higher impedance values corresponding to thicker fat layers.
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