猪脊肌pid控制双极射频消融的有限元模拟

H. Kumru, A. Attaluri, V. Gordin, Daniel C Cortes
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摘要

射频消融(RFA)的内侧支神经是一种广泛使用的治疗干预从小关节起源的背部疼痛。然而,多裂肌去神经是RFA手术的一个众所周知的副作用。RFA的计算模拟可用于设计一种新的保留多裂肌腱的RFA手术治疗小关节疼痛。不幸的是,没有一个计算模型可用于猪脊柱的RFA(一种用于脊柱治疗翻译的常见动物模型)。本研究的目的是开发和验证猪脊柱肌肉双极射频消融的计算模型。为了做到这一点,在离体猪脊柱的20°C至90°C的温度范围内测量了电导率和导热性。建立并调整了比例、积分和导数(PID)控制的有限元(FE)模型来模拟烧蚀过程。最后,比较了模拟和实验消融的组织温度。脊髓肌热导率为0.33 ~ 0.57 W/mK。同样,电导率从0.36 S/m到1.28 S/m不等。温控模型的PID参数为Kp=40, Ki=0.01, Kd=0。在不确定度范围内,组织温度的实验测量值与模拟结果非常吻合,r平方值在0.88和0.98之间。本研究建立的模型为临床前研究探索新的脊髓神经RFA方法提供了有价值的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Finite Element Simulation of Pid-Controlled Bipolar Radiofrequency Ablation of Porcine Spinal Muscle
Radiofrequency ablation (RFA) of the medial branch nerve is a widely used therapeutic intervention for back pain originating from the facet joint. However, multifidus denervation is a well-known adverse effect of this RFA procedure. Computational simulations of RFA can be used to design a new multifidus-sparing RFA procedure for facet joint pain. Unfortunately, there is not a computational model available for RFA of porcine spines (a common animal model for the translation of spinal treatments). The objective of this study is to develop and verify a computational model for bipolar radiofrequency ablation of porcine spine muscle. To do this, the electrical and thermal conductivity properties were measured over a temperature range of 20 °C to 90 °C in ex-vivo porcine spinal. A proportional, integral, and derivative (PID) controlled finite element (FE) model was developed and tuned to simulate the ablation process. Finally, tissue temperatures from simulations and experimental ablations were compared. Thermal conductivity values of spinal muscle ranged from 0.33 W/mK to 0.57 W/mK. Similarly, electrical conductivity varied from 0.36 S/m to 1.28 S/m. The tuned PID parameters for temperature-controlled model were Kp=40, Ki=0.01, and Kd=0. A close agreement between experimental measurements of tissue temperature and simulations were observed in the uncertainty range with R-squared values between 0.88 and 0.98. The model developed in this study is a valuable tool for preclinical studies exploring new RFA methods of spinal nerves.
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