Title | Temperature dependence of thermal properties of ex vivo liver tissue up to ablative temperatures |
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Publication Type | Articolo su Rivista peer-reviewed |
Year of Publication | 2019 |
Authors | Lopresto, V., Argentieri A., Pinto Rosanna, and Cavagnaro M. |
Journal | Physics in Medicine and Biology |
Volume | 64 |
ISSN | 00319155 |
Keywords | Ablation, Ex-vivo, Mammals, Non-linear regression analysis, Physiological models, Physiological temperature, Regression analysis, Specific heat, Temperature dependence, Temperature distribution, Temperature-dependent changes, Thermal ablation, Thermal conductivity, Tissue, treatment planning, Volumetric heat capacity |
Abstract | Thermal properties of ex vivo bovine liver were measured as a function of temperature, by heating tissue samples in a temperature-controlled oil bath over a temperature range from about 21 °C to about 113 °C. Results evidenced temperature-dependent non-linear changes of the thermal properties, with the temperature of 100 °C representing a break point: the thermal properties increased with temperature up to 99 °C and then decreased above 100 °C. The rate of increase appeared dramatic between 90 °C and 99 °C, owing to the onset of vaporisation of water contained in the tissue. In particular, at 99 °C, the thermal conductivity reported an increase of about four times with respect to the value measured at 90 °C, whilst about a two-fold increase was reported for both the volumetric heat capacity and the thermal diffusivity. Temperatures higher than 100 °C were reached only after complete vaporisation of water contained in the tissue, resulting in about 70% loss of weight from the tissue. An overall decrease of about 71% and 63% was reported for the thermal conductivity and volumetric heat capacity, respectively, in the temperature range 101 °C-113 °C. A decrease of about 25% was reported in the measured values of the thermal diffusivity in the temperature range 101 °C-108 °C, whilst a slight increase of measured values, not statistically significant, was observed in the temperature range 108 °C-113 °C. The temperature dependent changes of the thermal parameters were modelled with non-linear regression analysis to calculate the best-fit curves interpolating measured data. The proposed regression models could be used to numerically assess the changes in the thermal properties of biological tissues at supra-physiological temperatures relevant in thermal ablation procedures, as well as their effect on the prediction of the ablation zone dimensions in computational models for treatment planning. © 2019 Institute of Physics and Engineering in Medicine. |
Notes | cited By 0 |
URL | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066920728&doi=10.1088%2f1361-6560%2fab1663&partnerID=40&md5=82b65b44ed575aa2a6d80b977cd75982 |
DOI | 10.1088/1361-6560/ab1663 |
Citation Key | Lopresto2019 |