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非均匀各向同性骨骼肌中针电极电阻抗肌电图的建模与仿真

Modeling and simulation of needle electrical impedance myography in nonhomogeneous isotropic skeletal muscle.

作者信息

Luo Xuesong, Wang Shaoping, Sanchez Benjamin

机构信息

Department of Automation Science and Electric Engineering, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100083, China.

Sanchez Research Lab, Department of Electrical and Computer Engineering, Sorenson Molecular Biotechnology Building, 36 South Wasatch Drive, University of Utah, Salt Lake City, UT 84112, USA.

出版信息

IEEE J Electromagn RF Microw Med Biol. 2022 Mar;6(1):103-110. doi: 10.1109/jerm.2021.3091515. Epub 2021 Jun 22.

Abstract

OBJECTIVE

Needle electrical impedance myography (EIM) is a recently developed technique for neuromuscular evaluation. Despite its preliminary successful clinical application, further understanding is needed to aid interpreting EIM outcomes in nonhomogeneous skeletal muscle measurements.

METHODS

The framework presented models needle EIM measurements in a bidomain isotropic model. Finite element method (FEM) simulations verify the validity of our model predictions studying two cases: a spherical volume surrounded by tissue and a two-layered tissue.

RESULTS

Our models show that EIM is influenced by the vicinity of tissue with different electrical properties. The apparent resistance, reactance and phase relative errors between our theoretical predictions and FEM simulations in the spherical volume case study are ≤0.2%, ≤1.2% and ≤1.0%, respectively. For the two-layered tissue model case study, the relative errors are ≤2%.

CONCLUSIONS

We propose a bio-physics driven analytical framework describing needle EIM measurements in a nonhomogeneous bidomain tissue model.

CLINICAL IMPACT

Our theoretical predictions may lead to new ways for interpreting needle EIM data in neuromuscular diseases that cause compositional changes in muscle content, e.g. connective tissue deposition within the muscle. These changes will manifest themselves by changing the electric properties of the conductor media and will impact impedance values.

摘要

目的

针电极电阻抗肌电图(EIM)是一种最近开发的用于神经肌肉评估的技术。尽管其在临床应用中初步取得成功,但仍需要进一步了解,以帮助解释在非均匀骨骼肌测量中的EIM结果。

方法

所提出的框架在双域各向同性模型中对针电极EIM测量进行建模。有限元方法(FEM)模拟通过研究两种情况验证了我们模型预测的有效性:被组织包围的球形体积和双层组织。

结果

我们的模型表明,EIM受具有不同电学性质的组织附近区域的影响。在球形体积案例研究中,我们的理论预测与FEM模拟之间的表观电阻、电抗和相位相对误差分别≤0.2%、≤1.2%和≤1.0%。对于双层组织模型案例研究,相对误差≤2%。

结论

我们提出了一个由生物物理学驱动的分析框架,用于描述非均匀双域组织模型中的针电极EIM测量。

临床意义

我们的理论预测可能会为解释神经肌肉疾病中的针电极EIM数据带来新方法,这些疾病会导致肌肉成分发生变化,例如肌肉内结缔组织沉积。这些变化将通过改变导体介质的电学性质表现出来,并会影响阻抗值。

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本文引用的文献

1
Modeling and Reproducibility of Twin Concentric Electrical Impedance Myography.双同心电阻抗肌图的建模与可重复性。
IEEE Trans Biomed Eng. 2021 Oct;68(10):3068-3077. doi: 10.1109/TBME.2021.3063724. Epub 2021 Sep 20.
2
Electrical impedance myography: A critical review and outlook.肌电图:批判性回顾与展望。
Clin Neurophysiol. 2021 Feb;132(2):338-344. doi: 10.1016/j.clinph.2020.11.014. Epub 2020 Dec 3.
3
Electrical impedance myography (EIM) in a natural history study of mutation carriers.遗传性运动感觉神经病自然病史研究中的肌电图(electrical impedance myography, EIM)。
Amyotroph Lateral Scler Frontotemporal Degener. 2020 Aug;21(5-6):445-451. doi: 10.1080/21678421.2020.1752247. Epub 2020 Apr 21.

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