title: Quantification of the effect of electrical and thermal parameters on radiofrequency ablation for concentric tumour model of different sizes.
abstract: Radiofrequency ablation (RFA) has been increasingly used in treating cancer for multitude of situations in various tissue types. To perform the therapy safely and reliably, the effect of critical parameters needs to be known beforehand. Temperature plays an important role in the outcome of the therapy and any uncertainties in temperature assessment can be lethal. This study presents the RFA case of fixed tip temperature where we've analysed the effect of electrical conductivity, thermal conductivity and blood perfusion rate of the tumour and surrounding normal tissue on the radiofrequency ablation. Ablation volume was chosen as the characteristic to be optimised and temperature control was achieved via PID controller. The effect of all 6 parameters each having 3 levels was quantified with minimum number of experiments harnessing the fractional factorial characteristic of Taguchi's orthogonal arrays. It was observed that as the blood perfusion increases the ablation volume decreases. Increasing electrical conductivity of the tumour results in increase of ablation volume whereas increase in normal tissue conductivity tends to decrease the ablation volume and vice versa. Likewise, increasing thermal conductivity of the tumour results in enhanced ablation volume whereas an increase in thermal conductivity of the surrounding normal tissue has a debilitating effect on the ablation volume and vice versa. With increase in the size of the tumour (i.e., 2-3cm) the effect of each parameter is not linear. The parameter effect varies with change in size of the tumour that is manifested by the different gradient observed in ablation volume. Most important is the relative insensitivity of ablation volume to blood perfusion rate for smaller tumour size (2cm) that is also in accordance with the previous results presented in literature. These findings will provide initial insight for safe, reliable and improved treatment planning perceptively.
authors.affiliation: School of Mechanical and Aerospace Engineering, College of Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798 Singapore; Department of Biomedical Engineering, National University of Singapore, Singapore.
authors.forename: Muhammad
authors.initials: M
authors.lastname: Jamil
authors.affiliation: School of Mechanical and Aerospace Engineering, College of Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798 Singapore. Electronic address: mykng@ntu.edu.sg.
authors.forename: E Y K
authors.initials: EY
authors.lastname: Ng
mesh_terms: D017115:Catheter Ablation / Q000009:adverse effects / Q000379:methods*; D003198:Computer Simulation; D004553:Electric Conductivity; D004560:Electricity; D006801:Humans; D008954:Models, Biological; D009369:Neoplasms / Q000601:surgery*; D013696:Temperature; D013814:Thermal Conductivity
keywords: PID controller; Radiofrequency ablation; Taguchi’s orthogonal arrays