Effects of control temperature, ablation time, and background tissue in radiofrequency ablation of osteoid osteoma: A computer modeling study

Abstract

To study the effects of the control temperature, ablation time, and the background tissue surrounding the tumor on the size of the ablation zone on radiofrequency ablation (RFA) of osteoid osteoma (OO). Finite element models of non‐cooled temperature‐controlled RFA of typical OOs were developed to determine the resulting ablation radius at control temperatures of 70, 80, and 90°C. Three different geometries were used, mimicking common cases of OO. The ablation radius was obtained by using the Arrhenius equation to determine cell viability. Ablation radii were larger for higher temperatures and also increased with time. All geometries and control temperatures tested had ablation radii larger than the tumor. The ablation radius developed rapidly in the first few minutes for all geometries and control temperatures tested, developing slowly towards the end of the ablation. Resistive heating and the temperature distribution showed differences depending on background tissue properties, resulting in differences in the ablation radius on each geometry. The ablation radius has a clear dependency not only on the properties of the tumor but also on the background tissue. Lower background tissue's electrical conductivity and blood perfusion rates seem to result in larger ablation zones. The differences observed between the different geometries suggest the need for patient‐specific planning, as the anatomical variations could cause significantly different outcomes where models like the one here presented could help to guarantee safe and successful tumor ablations.

Research on High Precision Temperature Acquisition System for Radiofrequency Ablation System

“…There are m samples in the array (m ≥ 2 and odd). N [0] denotes the first sample value, N [1] denotes the second sample value, and so on, N [m-1] denotes the mth and last sample value. The details are as follows.…”

Design and Development of a Lorentz Force-Based MRI-Driven Neuroendoscope

“…The amount of time necessary for ablation can vary based on different factors including the electrodes' diameter, tumor size, and power input. However, literature shows average times between 4 and 6 minutes and some even longer [25], while clinical trials have demonstrated ablation times below 4 minutes. The power values were calculated using the microcoil's resistance (11 Ω) and corresponding current values (50 mA, 100 mA, 200 mA, and 0.25 mA).…”

Adaptive Network-Based Fuzzy Inference System–Proportional–Integral–Derivative Controller Based on FPGA and Its Application in Radiofrequency Ablation Temperature Control

“…When the temperature between the radiofrequency electrode and the tumour tissue exceeds 100 °C, the tumour tissue will carbonise, resulting in a sharp increase in the impedance of the tumour tissue, which reduces the radiofrequency current density and limits the final ablation effect [7,8]. In addition, different temperatures can affect the ablation volume, and inappropriate temperatures can cause thermal damage to the normal tissue surrounding the tumour, which can lead to a range of complications [9][10][11][12][13][14]. Therefore, stable and accurate temperature control needs to be achieved to improve the therapeutic effect of RFA.…”