ABSTRACT
Objective To investigate the multiparametric magnetic resonance technique in diagnosis of bladder urothelial carcinoma. Methods The clinical data of 80 patients with urinary tract disease who were treat-ed in the Department of Urology in our hospital from October 2016 to March 2017 were analyzed.The patients were divided into two groups:the tumor group(39 patients with bladder cancer)and the control group(41 patients with the remaining bladder disease).The basic information of two groups and pathological diagnosis results were record-ed and analyzed. Multivariate logistic regression analysis was performed to screen out the statistical significance of the diagnosis of bladder cancer. The ROC curve was applied to determine the best diagnostic point. Results The multivariate analysis showed that UBC level(P=0.039),NMP22(P=0.038)and ADC(P=0.028)have signifi-cance in diagnosis of bladder cancer. Pearson analysis showed that there was a significant correlation between the ADC value and the NMP22(r = 0.333,P = 0.038). The ROC curve shows that the ADC area under the ROC curve was 0.750. The diagnostic sensitivity of ADC value was 0.9750 × 10-3mm2/s;The diagnostic sensitivity was 73.2% and specificity was 69.2%. Conclusion Multiparametric magnetic resonance imaging is of great value in the diagnosis of bladder cancer.