Abstract
AbstractRadio-frequency ablation (RFA) has become a popular method for the minimally invasive treatment of liver cancer. However, the success rate of these treatments depends heavily on the amount of experience the clinician possesses. Mathematical modelling can help mitigate this problem by providing an indication of the treatment outcome. Thermal lesions in RFA are affected by the cooling effect of both fine-scale and large-scale blood vessels. The exact model for large-scale blood vessels is advection-diffusion, i.e. a model capable of producing directional effects, which are known to occur in certain cases. In previous research, in situations where directional effects do not occur, the advection term in the blood vessel model has been typically replaced with the Pennes perfusion term, albeit with a higher-than usual perfusion rate. Whether these values of the perfusion rate appearing in literature are optimal for the particular vessel radii in question, has not been investigated so far. The present work aims to address this issue. An attempt has been made to determine, for values of vessel radius between 0.55 mm and 5 mm, best estimates for the perfusion rate which minimize the error in thermal lesion volumes between the perfusion-based model and the advection-based model. The results for the best estimate of the perfusion rate presented may be used in existing methods for fast estimation of RFA outcomes. Furthermore, the possible improvements to the presented methodology have been highlighted.
Publisher
Cold Spring Harbor Laboratory
Reference30 articles.
1. Wild, C. P. , Weiderpass, E. , and Stewart, B. W. , editors 2020, “World Cancer Report: Cancer Research for Cancer Prevention.” Lyon, France: International Agency for Research on Cancer. Available from: http://publications.iarc.fr/586. Licence: CC BY-NC-ND 3.0 IGO.
2. Radiofrequency ablation of malignant liver tumors;Oncol,2001
3. Radiofrequency ablation of primary and metastatic liver tumors: a critical review of the literature;The American journal of surgery,2008
4. Image-based multi-scale modelling and validation of radio-frequency ablation in liver tumours
5. Readdressing the issue of thermally significant blood vessels using a countercurrent vessel network;J Biomech Eng,2006