https://scholars.lib.ntu.edu.tw/handle/123456789/611781
Title: | Cell death, perfusion and electrical parameters are critical in models of hepatic radiofrequency ablation | Authors: | Hall S.K. Ooi E.H. Payne S.J. STEPHEN JOHN PAYNE |
Keywords: | animal tissue;Article;cell death;cooling;electric conductivity;electrical parameters;heat;heat transfer;human;human cell;human tissue;isotherm;liver;mathematical model;nonhuman;perfusion;radiofrequency ablation;temperature dependence;thermal conductivity;adverse effects;catheter ablation;procedures;surgery;theoretical model;Catheter Ablation;Cell Death;Electric Conductivity;Humans;Liver;Models, Theoretical;Perfusion | Issue Date: | 2015 | Journal Volume: | 31 | Journal Issue: | 5 | Start page/Pages: | 538-550 | Source: | International Journal of Hyperthermia | Abstract: | Purpose: A sensitivity analysis has been performed on a mathematical model of radiofrequency ablation (RFA) in the liver. The purpose of this is to identify the most important parameters in the model, defined as those that produce the largest changes in the prediction. This is important in understanding the role of uncertainty and when comparing the model predictions to experimental data. Materials and methods: The Morris method was chosen to perform the sensitivity analysis because it is ideal for models with many parameters or that take a significant length of time to obtain solutions. A comprehensive literature review was performed to obtain ranges over which the model parameters are expected to vary, crucial input information. Results: The most important parameters in predicting the ablation zone size in our model of RFA are those representing the blood perfusion, electrical conductivity and the cell death model. The size of the 50 °C isotherm is sensitive to the electrical properties of tissue while the heat source is active, and to the thermal parameters during cooling. Conclusions: The parameter ranges chosen for the sensitivity analysis are believed to represent all that is currently known about their values in combination. The Morris method is able to compute global parameter sensitivities taking into account the interaction of all parameters, something that has not been done before. Research is needed to better understand the uncertainties in the cell death, electrical conductivity and perfusion models, but the other parameters are only of second order, providing a significant simplification. ? 2015 ? 2015 The Author(s). Published by Taylor & Francis. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84939201042&doi=10.3109%2f02656736.2015.1032370&partnerID=40&md5=7b670c638a85ac96d2b2d5fa5c857b31 https://scholars.lib.ntu.edu.tw/handle/123456789/611781 |
DOI: | 10.3109/02656736.2015.1032370 |
Appears in Collections: | 應用力學研究所 |
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