Objective: Currently available tumor markers for ovarian cancer are still inadequate in both sensitivity and specificity to be used for population-based screening. Artificial neural network (ANN) as a modeling tool has demonstrated its ability to assimilate information from multiple sources and to detect subtle and complex patterns. In this paper, an ANN model was evaluated for its performance in detecting early stage epithelial ovarian cancer using multiple serum markers.
View Article and Find Full Text PDFVulval carcinoma is relatively rare. The disease spreads from the vulva through embolization to the locoregional lymphatic station, the inguinofemoral nodes. Prior to this event cure can be achieved, but rarely predicted with certainty.
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