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.
replicates in macrophages in a host-derived phagosome, termed the containing vacuole (LCV). While the translocation of type IV secretion (T4S) effectors into the macrophage cytosol is well established, the location of type II secretion (T2S) substrates in the infected host cell is unknown. Here, we show that the T2S substrate ProA, a metalloprotease, translocates into the cytosol of human macrophages, where it associates with the LCV membrane (LCVM).
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