There are no currently available low cost, non-invasive methods for distinguishing squamous cell carcinoma (SCC) invasion from its benign mimics inflamed seborrheic keratosis (SK). In this study, we demonstrate the potential of electrical impedance dermography to serve this role by measuring 35 patients. Using machine-learning, we were able to correctly classify SCC in situ from inflamed SK with an accuracy of 0.958, sensitivity of 94.6%, and specificity of 96.9%. This is Elaine’s first-author paper and will be soon published at the Journal of Investigative Dermatology Innovations.
