超高温下软生物组织随温度和状态变化的导电性。

IF 3 3区 医学 Q2 ONCOLOGY International Journal of Hyperthermia Pub Date : 2024-01-01 Epub Date: 2024-11-10 DOI:10.1080/02656736.2024.2422509
Junren Ran, Martin Ostoja-Starzewski
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引用次数: 0

摘要

目的:我们提出了一种基于物理学、与温度和状态相关的电导率模型,该模型适用于热疗法下的软生物组织,并带有一个量化的损伤参数,该参数代表了软生物组织的状态(变性程度)。大多数现有模型认为电导率仅与温度有关,并在温度计算后的后处理过程中评估组织损伤。我们的模型可将组织损伤耦合到热模型中,从而更准确地描述射频消融和电外科手术。方法:我们用阿伦尼乌斯微分方程(Arrhenius-type differential equation)来建立化学动力学变性过程模型,并用修改后的斯托格林方程(Stogryn equation)来建立状态转换下的电导率模型。我们提供了在 128 kHz 频率下两种加热过程的实验数据,以验证和展示我们模型的能力。结果:我们的模型能够捕捉加热、冷却和再加热过程中电导率的变化,从而区分不同的状态,并显示变性的不可逆性。该模型还能准确捕捉恒温慢煮过程中组织的变化,突出了状态依赖性。结论通过将状态依赖性纳入电特性模型,我们能够更准确地捕捉变性过程,并区分不同程度的损伤。我们的模型允许对涉及反复加热或冷却的过程进行建模,而没有状态依赖性的模型是不可能做到这一点的。该模型能够适应患者的特定需求,同时还可用于改进未来机器人辅助手术的规划和控制,以减少不必要的损伤。
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Temperature and state-dependent electrical conductivity of soft biological tissue at hyperthermic temperatures.

Objective: We present a physics-based, temperature and state-dependent electrical conductivity model for soft biological tissue under thermal therapies with a quantified damage parameter that represents the state of soft biological tissue (degree of denaturation). Most existing models consider electrical conductivity to be only temperature-dependent and evaluate tissue damage during post-processing after temperature calculation. Our model allows tissue damage to be coupled into the thermal model for a more accurate description of both RF ablation and electrosurgery. Methods: We model the denaturation process with an Arrhenius-type differential equation for chemical kinetics and a modified Stogryn equation for electrical conductivity under state transition. We present experimental data from two types of heating procedures at 128 kHz to validate and showcase the capability of our model. Results: Our model is able to capture the change in electrical conductivity during heating, cooling, and reheating procedures, which distinguishes different states and shows the irreversibility of denaturation. The model also accurately captures tissue change during slow cooking at a constant temperature, highlighting a state dependence. Conclusion: By incorporating state dependence into the model for electrical properties, we are able to capture the denaturation process more accurately and distinguish different degrees of damage. Our model allows the modeling of procedures involving repeated heating or cooling, which is impossible for models without a state dependence. While being able to adapt to patient-specific needs, the model can be used to improve planning and control in future robot-assisted surgeries to reduce unnecessary damage.

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来源期刊
CiteScore
5.90
自引率
12.90%
发文量
153
审稿时长
6-12 weeks
期刊介绍: The International Journal of Hyperthermia
期刊最新文献
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