Prediction of Cervical Lymph Node Metastasis in Carcinoma of The Tongue Using Fuzzy Inference

概要

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The purpose of this study was to predict lymph node metastasis in tongue cancer. The subjects were 137 patients with squamous cell carcmoma of the tongue who had been treated at our department during the 20-year period from 1971 through 1990. We first used multivariate analysis and then fuzzy inference to assess the accuracy of these methods for predicting lymph node metastasis. Based on the results of the chi-square test and a correlation matrix, T category, N category, keratinization, mitosis and mode of invasion were selected as parameters for multivariate analysis. For the prediction using fuzzy inference, the patients were first divided into two groups: those treated surgically and those given radiotherapy. Three items, i. e. , tumor size, keratinization and mode of invasion were used for analysis. Then, an "If-Then rule" was applied to each of the two groups. It was found tha fhzzy inference has a higher accuracy for predicting lymph node metastasis than multivariate analysis. Fuzzy inference appears to be useful for predicting lymph node metastasis.
バイオメディカル・ファジィ・システム学会の論文