Skin cancer is the most prevalent cancer, and its assessment remains a challenge for physicians. This study reports the application of an optical sensing method, elastic scattering spectroscopy (ESS), coupled with a classifier that was developed with machine learning, to assist in the discrimination of skin lesions that are concerning for malignancy. The method requires no special skin preparation, is non-invasive, easy to administer with minimal training, and allows rapid lesion classification.
View Article and Find Full Text PDFBackground: Mohs surgery (MS) is regarded as one of the most efficient surgical procedures for the treatment of skin tumors.
Objectives: Delineating tumor margins accurately is important in limiting broad excisions during conventional surgery and in reducing the number of stages during Mohs procedure.
Methods: This study aimed to evaluate the role of 2 simple procedures, curettage and videodermoscopy (VDS), in determining margins during MS for the treatment of basal cell carcinoma (BCC) of the head and neck.