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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.
SUBMITTER: Luo X
PROVIDER: S-EPMC9012450 | biostudies-literature | 2022 Mar
REPOSITORIES: biostudies-literature
Luo Xuesong X Wang Shaoping S Sanchez Benjamin B
IEEE journal of electromagnetics, RF and microwaves in medicine and biology 20210622 1
<h4>Objective</h4>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.<h4>Methods</h4>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 ...[more]