Why the study?
To develop and validate a 3-D computer model based on accurate geometry of an irrigated cardiac RF ablation catheter with microwave radiometry capability, and to test catheter performance.
Does a 3-D computer model accurately predict thermal lesion dimensions and temperatures for an irrigated RF cardiac ablation catheter compared to experimental phantom studies?
Does a 3-D computer model accurately predict thermal lesion dimensions and temperatures for an irrigated RF cardiac ablation catheter compared to experimental phantom studies?
A 3-D computer model accurately simulates irrigated RF ablation catheter performance, providing a reliable tool for device evaluation and optimization.
Model validation in phantoms aids RF catheter optimization; leaves open in vivo human translation.
PURPOSE: To develop and validate a three-dimensional (3-D) computer model based on accurate geometry of an irrigated cardiac radiofrequency (RF) ablation catheter with microwave radiometry capability, and to test catheter performance. METHODS: infrared camera. Computer model simulations were performed with constant voltage and with voltage adjusted to achieve maximum tissue temperatures of 95-105 °C. RESULTS: Model predicted thermal lesion width at 5 W power was 5.8-6.4 mm (PE)/6.5-6.6 mm (PA), and lesion depth was 4.0-4.3 mm (PE)/4.0-4.1 mm (PA). Compared to phantom studies, the mean errors of the computer model were as follows: 6.2 °C(PE)/4.3 °C (PA) for maximum gel temperature, 0.7 mm (10.9%) (PE)/0.1 mm (0.8%) (PA) for lesion width, and 0.3 mm (7.7%)(PE)/0.7 mm (19.1%) (PA) for lesion depth. For temperature-controlled ablation, model predicted thermal lesion width was 7-9.2 mm (PE)/8.6-9.2 mm (PA), and lesion depth was 4.3-5.5 mm (PE)/3.4-5.4 mm (PA). CONCLUSIONS: Computer models were able to reproduce device performance and to enable device evaluation under varying conditions. Temperature controlled ablation of irrigated catheters enables optimal tissue temperatures independent of patient-specific conditions such as blood flow.
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Rossmann et al. (2021) studied this question.
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