A Treatment Planning of Radio Frequency Ablation for Spinal Tumor

Abstract

In order to establish a treatment plan to predict therapeutic parameters accurately by radio frequency ablation (RFA) in spinal tumor, we use finite element method (FEM) to build a database in different therapeutic parameters (voltages 10–30[Formula: see text]V and heating-up time 120–1200[Formula: see text]s) and structures of electrode (single and multi). For predicting parameters through database, we compare three modes. We acquired 383 sets of data as database. The results show support vector machine (SVM) model is the best one to be applied in treatment planning, in which error rates (0 and 0.33%) were the smallest and correlation coefficients (1.000 and 0.999) were the closest to 1.

Double Slot Antenna for Microwave Thermal Ablation to Treat Bone Tumors: Modeling and Experimental Evaluation

“…However, although more realistic tissue properties are required, the main simplification reported in literature is to consider the human tissue as a uniform, linear, isotropic and no thermal dependent media [18,[36][37][38][39]. Despite this simplification, the models have provided reliable results [35,[39][40][41]. Although several researches deal with the dependence from the temperature of dielectric and thermal properties, most of them are focused on liver and muscle tissue.…”