Multi Frequency Assessment of the Electrical Impedance Myography Parameters on 3D Malignant Breast. (26th December 2018)

• Record Type: Journal Article
• Authors: Tarek, Md Nurul A.; Alam, Fahmida; Jalal, Ahmed Hasnain; Ahad, Mohammad A.
• Is Part Of: MRS advances. Volume 4:Number 22(2019)
• Page Start: 1285
• Page End: 1291
• Publication Date: 2018-12-26
• Subjects: simulation, -- modeling, -- electrical properties, -- dielectric properties; Electrical engineering -- Congresses; Physics -- Congresses; Materials -- Research -- Congresses; Materials science -- Congresses; 620.11
• DOI: 10.1557/adv.2018.661
• Languages: English
• ISSNs: 2059-8521

Abstract

ABSTRACT: Electrical properties such as conductivity and permittivity of biological material have notable dependency on frequency. These frequency dependent changes in biomaterial properties can play a prominent role in impedance signature of Electrical Impedance Myography (EIM). EIM is a non-invasive painless four electrode measurement tool, measuring the impedance based on the response of the low amplitude alternating current. In this study, multifrequency Electrical impedance Myography assessment was performed using an applied range of frequencies for getting valuable insight of the biomaterials. In this paper, the objective of our study is to explore the effects of different sized malignant tumor in female breast tissue on the multi-frequency signature of EIM. In this study, a finite element model of a female breast has been developed based on electro-biophysical data for each malignant tissue within a frequency range of 2 GHz to 3 GHz and log frequency vs resistance and log frequency vs reactance of EIM have been analyzed for various sized tumor on breast. It is found that the slope of log reactance vs. frequency and resistance vs log frequency decrease with increasing tumor size. For instance, the percentage deviation of log reactance slope for 8 mm tumor and 6mm tumor from 2 mm (1mm radius) tumor size is 4.12% and 0.412% respectively. The study provides evidence that evaluation of the frequency dependent impedance data can provide rich assessment of the abnormal biological tissue.