不可逆电穿孔多因素动态电导率模型的研究与分析

doi:10.19595/j.cnki.1000-6753.tces.200271

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Abstract Irreversible electroporation tumor treatment technology has attracted widespread attention due to its unique non-thermal, controllable, and minimally invasive. Using an accurate preoperative simulation model to predict the curative effect of ablation is a crucial method to achieve accurate treatment. Among them, the numerical expression of the dynamic conductivity in tissue is the key to describe the electrical field distribution in the tissue accurately. Based on the traditional conductivity model considering only the influence of pulsed electric field strength and temperature, this paper takes potato tissue as the research object, and uses parallel plate electrodes to measure tissue conductivity. The dynamic development law of tissue conductivity under the multi-pulse accumulation of irreversible electroporation is characterized, and a multi-factor conductivity model that varies with pulsed-field strength, pulse number and temperature is established. Then, under 500, 700, and 1000V voltage applied to the needle electrode, the error between the simulated current value and the experimental value of the warped tissue is less than 4%, which is much smaller than the error between the traditional conductivity model and the experimental current. Therefore, the multi-factor con- ductivity model proposed in this paper can more accurately describe the change of tissue state under the action of multiple pulses and lay a theoretical foundation for the establishment of precise treatment plans for irreversible electroporation tumors before surgery.

Key words： Irreversible electroporation treatment plan multi-factor dynamic conductivity numerical model

Received: 17 March 2020

PACS:	TM11
	TM836

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	Tang Xiao
	Yao Chenguo
	Zheng Shuang
	Liu Hongmei
	Dong Shoulong

Cite this article:

Tang Xiao,Yao Chenguo,Zheng Shuang等. Establishment and Analysis of Multi-Factor Dynamic Conductivity Model for Irreversible Electroporation[J]. Transactions of China Electrotechnical Society, 2021, 36(14): 2912-2921.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.200271 OR https://dgjsxb.ces-transaction.com/EN/Y2021/V36/I14/2912

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