Objective:To investigate the relationship between periprostatic adipose tissue(PPAT)and prostate cancer aggressiveness and to develop a nomogram prediction model for bone metastasis risk in new prostate cancer patients.Methods:A total of 160 patients(80 cases in the bone metastasis group and 80 cases in the non-metastasis group)were included in this study,and the quantitative parameters(NFSP,FNPF,BSF,PSSF,MDSP,PSPF,PA and PPFA)on MRI images were analyzed for the correlation with prostate cancer aggressiveness.160 patients were divided into the training set and the validation set at a ratio of 7∶3,and the regression prediction model for quantitative measurement was developed to validate on the validation set.Results:MDSP,PSPF,FNPF and PPFA/PA were independent risk factors for bone metastasis(all P<0.05).The diagnostic efficacy of the nomogram model for the features of MDSP,PSPF,FNPF,PPFA/PA and a combined model including the above 4 parameters was tested separately.The AUC values in the training set were 0.90,0.78,0.72,0.80 and 0.92,respectively;and the AUC values in the validation set were 0.87,0.86,0.68,0.79 and 0.98,respectively.Conclusion:A nomogram model based on quantitative measurement for adipose tissue can predict the aggressive risk of prostate cancer.
国家科技期刊平台
NSTL
维普
万方数据
