New method for predicting efficiency of heating by measuring bioimpedance during radiofrequency catheter ablation in humans
Journal
Journal of Cardiovascular Electrophysiology
Journal Volume
12
Journal Issue
7
Pages
819-823
Date Issued
2001
Author(s)
Abstract
INTRODUCTION: Efficiency of heating (defined as the average temperature divided by the average power) during radiofrequency (RF) catheter ablation (RFCA) can be predicted by the electrode-tissue contact pressure before RFCA. To predict the efficiency of heating during RFCA, we prospectively measured bioimpedance and correlated the bioimpedance with the efficiency of heating in patients undergoing RFCA for supraventricular tachycardias. METHOD AND RESULTS: Of 239 RF applications in 55 patients, bioimpedance was measured from the distal pair of the electrodes of the ablation catheter using an extremely low current (10 microA at 45 kHz). Tip electrode temperature was measured with a closed-loop RF generator. Efficiency of heating and the difference (delta bioimpedance) between preablation bioimpedance (measured from the target ablation site) and baseline bioimpedance (measured in the right atrium without tissue contact) were calculated. There was significant positive correlation between preablation bioimpedance and efficiency of heating (regression coefficient = 0.053; P = 0.003) and between delta bioimpedance and efficiency of heating (regression coefficient = 0.067; P = 0.003). The highest degree of correlation was found during RFCA of the accessory pathways in the left free wall (regression coefficient = 0.14; P 21.5 ohms, applications targeted at the left free-wall, left posteroseptal, or right septal accessory pathways had a greater likelihood of achieving effective tissue heating (defined as maximal temperature achieved >55 degrees C). CONCLUSION: Both preablation bioimpedance and delta bioimpedance have positive correlation with efficiency of heating during RFCA of supraventricular tachycardia. Measuring preablation bioimpedance appears to be a useful tool for predicting the efficiency of heating during RFCA.
SDGs
Publisher
Futura Publishing Company Inc.
Type
journal article