Interpretation of electrical impedance spectra of irradiated tissue using multiple analysis planes

Tissue injury response to radiation exposure is dose, time and tissue-type dependent and has been studied extensively in animal and human systems. Nonetheless, the significant heterogeneity in the response of individuals to radiation treatment remains unpredictable given current assessment methods. Since radiation invokes a general tissue injury response which effects both the vascular and cellular compartments, it may be possible to monitor radiation exposure inexpensively with electrical impedance spectroscopy (EIS). Systematic and quantitative tissue monitoring with EIS may provide insight into early warning signs of late effects which could be used to alter the course of therapy on an individual patient basis, especially in cases of tumor recurrence. Relating EIS signatures with the underlying stages of radiation-induced tissue damage is required. In this work, we demonstrate the importance of investigating EIS data in multiple analysis planes in order to maximize the tissue information which can be extracted