IEEE open journal of engineering in medicine and biology（2023）
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Abstract
Goal:
Electrical impedance spectroscopy (EIS) has been suggested as a possible technique to differentiate between thyroid and parathyroid tissue during surgery. This study aims to explore this potential using computational models to simulate the impedance spectra of these tissues, and examine how they are influenced by specific differences in tissue composition and morphology.
Materials and methods:
Finite element models of thyroid and parathyroid tissues at multiple scales were created, and simulated spectra were compared to existing data collected using ZedScan
TM
probe during surgery. Geometrical and material properties were varied in a local sensitivity study to assess their relative influence.
Results:
Both simulated and measured EIS parathyroid spectra show a higher
$\beta$
dispersion frequency relative to thyroid. However, impedances exhibit overlap at frequencies below 100 kHz. A computational sensitivity study identified uncertainties in extracellular space dimensions, and properties of colloid and fascia compartments as having a significant effect on simulated impedance spectra characteristics.
Conclusions:
We have demonstrated the utility of our multiscale model in simulating impedance spectra and providing insight into their sensitivity to variations in tissue features. Our results suggest that distinguishing between the thyroid and parathyroid spectra is challenging, but could be improved by constraining the properties of colloid and fascia through further computational or experimental research.
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Key words
Electrical Impedance Spectroscopy,Finite Element Modelling,Thyroid and Parathyroid Tissue Discrimination,Thyroidectomy
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