Research On Impedance Feature Parameters Of Breast Cancer And The Surrounding Tissues

A quick and accurate method to assess the intra-operative margin of breast cancer is needed to ensure the remained focus cleaned in time in the breast conservative operation. Bio-Impedance contains abundant physiological and pathological information and Bio-Impedance Measuring Technology is a kind of noninvasive, low-cost, safe and quick measuring technology. It has been paid special attention in the medical science, especially by the researchers in clinical medicine areas.Researches have been done on assessing the intra-operative margin of breast cancer at home and abroad, and the research results show that there are differences between breast cancer and the normal tissues in conductivity, but there is not a parameter can identify breast cancer and the normal tissues. So, this paper focuses on the differences of impedance of breast tissues, and some feature parameters which are sensitive, specific, and wide applicable, are extracted. The main work is as follows:1. Based on Agilent 4294A, which is a precision impedance measurement instruments, the measurement system was designed.2. Based on the theory of COLE-COLE, the COLE-COLE curves of the three kinds of breast tissue were drawn, and R 0 and R∞were calculated as feature parameters, whose recognition effect to breast tissues were analyzed.3. Based on the differences of the impedance spectrum curves of the three kinds of breast tissue, the piecewise slopes and projection of piecewise slopes of the curves of three kinds of breast tissue were extracted as feature parameters, whose recognition effect to breast tissues were analyzed.4. Based on the differences of the impedance spectrum curves of the three kinds of breast tissue, the differences of real part and imaginary part of the impedance were calculated and the area ratio, the span, the fitting slope were extracted as feature parameters , whose recognition effect to breast tissues were analyzed.5. By using the most resent impedance data of the three kinds of breast tissues, the recognition effect of those feature parameters and hybrid tissues were verified.