Prediction of malignancy in adnexal masses using an artificial neural network / 中华超声影像学杂志

ABSTRACT

Objective To evaluate the performance of artificial neural network(ANN) models for predicting ovarian malignancy in the patients with adnexal masses by using B-mode and color Doppler ultrasonography.Methods The data of 180 patients with adnexal masses were randomly divided into training and testing subsets.The training subsets were used to screen out significant single parameters and to compute the optimum statistic equations and to train the ANN.The testing subsets were used to estimate the performance of each of the two models in predicting ovarian malignancy.Results Thirteen of seventeen parameters were significant to diagnose malignancy in adnexal masses by single analysis(P