title: Numerical sensitivity modeling for the detection of skin tumors by using tetrapolar probe.
abstract: The measurement of electrical impedance of skin using surface electrodes permits the assessment of changes in local properties of the skin and can be used in the detection of tumors. The sensitivity of this technique depends mainly on the geometry of the probe and the size of the tumor. In this article, the impedance method was used to estimate the sensitivity of a tetrapolar probe in detecting small regions of increased conductivity in a stratified model of human skin. The impedance method was used to model the potential distribution using fasorial analysis to solve the node equations of the equivalent circuit. Interpolation was applied to reduce discretization error. The skin was modeled as a three-layer structure with different conductivity and permittivity obtained from the literature. A tumor was modeled as a small volume with admittivity four times higher than the normal tissue. Sensitivity calculation was made as a function of electrode diameter and separation, tumor size, and excitation frequency. The simulations indicated that by inserting a one square millimeter tumor in the epidermis, the load impedance to the current source varies about 1% while the transfer impedance varied 8%. The sensitivity also increases nonlinearly with increasing tumor area and thickness. Additionally, it was found that the sensitivity of the transfer impedance has a maximum value when the electrodes are separated by 1.8 mm. The results show that transfer impedance measurements of the skin may detect small skin tumors with a reasonable sensitivity by using an appropriate tetrapolar probe.
authors: Department of Electrical Engineering, State University of Santa Catarina, Joinville, Brazil.
authors: Airton
authors: A
authors: Ramos
authors: Pedro
authors: P
authors: Bertemes-Filho
mesh_terms: D016022:Case-Control Studies; D020405:Dermis / Q000378:metabolism / Q000473:pathology; D017097:Electric Impedance; D004566:Electrodes; D004817:Epidermis / Q000378:metabolism; D020342:Finite Element Analysis; D006801:Humans; D008954:Models, Biological; D012680:Sensitivity and Specificity; D012878:Skin Neoplasms / Q000175:diagnosis* / Q000378:metabolism; D040521:Subcutaneous Tissue / Q000378:metabolism / Q000473:pathology