2022
DOI: 10.3390/s22155913
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Computational Modelling for Electrical Impedance Spectroscopy-Based Diagnosis of Oral Potential Malignant Disorders (OPMD)

Abstract: A multiscale modelling approach has been applied to the simulation of the electrical properties of oral tissue, for the purpose of informing an electrical impedance-based method of oral potential malignant disorder (OPMD) diagnosis. Finite element models of individual cell types, with geometry informed by histological analysis of human oral tissue (normal, hyperplastic and dysplastic), were generated and simulated to obtain electrical parameters. These were then used in a histology-informed tissue scale model,… Show more

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Cited by 2 publications
(1 citation statement)
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“…Furthermore, the electrical behaviour of biological tissues has been a subject of various computational studies documented in the literature. Multiscale Finite Element (FE) models relating to the EIS tetrapolar probe measurements of cervical epithelium [13], bladder [14] and oral tissues [15] have been developed to determine the changes in tissues electrical properties due to cancerous lesions. Some studies have focused on skin, such as a FE model simulating the electrical properties of skin pathologies [16], or assessing the thickness of stratum corneum with an analytical model [17].…”
Section: A Electrical Impedance Spectroscopymentioning
confidence: 99%
“…Furthermore, the electrical behaviour of biological tissues has been a subject of various computational studies documented in the literature. Multiscale Finite Element (FE) models relating to the EIS tetrapolar probe measurements of cervical epithelium [13], bladder [14] and oral tissues [15] have been developed to determine the changes in tissues electrical properties due to cancerous lesions. Some studies have focused on skin, such as a FE model simulating the electrical properties of skin pathologies [16], or assessing the thickness of stratum corneum with an analytical model [17].…”
Section: A Electrical Impedance Spectroscopymentioning
confidence: 99%