Department of Mechanical Engineering, Politecnico di Milano, 20156, Milan, Italy.
Ann Biomed Eng. 2023 Jun;51(6):1181-1198. doi: 10.1007/s10439-022-03122-9. Epub 2023 Jan 19.
This work proposes the characterization of the temperature dependence of the thermal properties of heart and lung tissues from room temperature up to > 90 °C. The thermal diffusivity (α), thermal conductivity (k), and volumetric heat capacity (C) of ex vivo porcine hearts and deflated lungs were measured with a dual-needle sensor technique. α and k associated with heart tissue remained almost constant until ~ 70 and ~ 80 °C, accordingly. Above ~ 80 °C, a more substantial variation in these thermal properties was registered: at 94 °C, α and k respectively experienced a 2.3- and 1.5- fold increase compared to their nominal values, showing average values of 0.346 mm/s and 0.828 W/(m·K), accordingly. Conversely, C was almost constant until 55 °C and decreased afterward (e.g., C = 2.42 MJ/(m·K) at 94 °C). Concerning the lung tissue, both its α and k were characterized by an exponential increase with temperature, showing a marked increment at supraphysiological and ablative temperatures (at 91 °C, α and k were equal to 2.120 mm/s and 2.721 W/(m·K), respectively, i.e., 13.7- and 13.1-fold higher compared to their baseline values). Regression analysis was performed to attain the best-fit curves interpolating the measured data, thus providing models of the temperature dependence of the investigated properties. These models can be useful for increasing the accuracy of simulation-based preplanning frameworks of interventional thermal procedures, and the realization of tissue-mimicking materials.
本工作提出了从室温到>90°C 对心脏和肺组织热物性的温度依赖性进行表征的方法。使用双针传感器技术测量了离体猪心和放气肺的热扩散率(α)、热导率(k)和体积热容(C)。与心脏组织相关的α和 k 几乎保持恒定,直到分别约为 70°C 和 80°C。在这之后,这些热物性的变化更为显著:在 94°C 时,α和 k 分别比其标称值增加了 2.3 倍和 1.5 倍,分别显示出 0.346 mm/s 和 0.828 W/(m·K)的平均值。相反,C 几乎保持恒定,直到 55°C,之后才下降(例如,在 94°C 时,C 为 2.42 MJ/(m·K))。对于肺组织,其α和 k 均随温度呈指数增加,在生理和消融温度下表现出明显的增加(在 91°C 时,α和 k 分别为 2.120 mm/s 和 2.721 W/(m·K),即比其基线值高 13.7 倍和 13.1 倍)。进行了回归分析以获得最佳拟合曲线,从而对所测数据进行插值,从而提供了所研究性质的温度依赖性模型。这些模型可用于提高基于模拟的介入性热程序预规划框架的准确性,并实现组织模拟材料。