Analysis of the Relationship between the Minimum Apparent Diffusion Coefficient Values and Biological Prognostic Factors in Invasive Breast Cancer
Objective To investigate the relationship between diffusion-weighted imaging(DWI)quantitative parameters ADCmin and ADCmean and biological prognostic factors in invasive breast cancer.Methods The clinical data of 158 patients with invasive breast cancer were retrospectively analyzed.All patients received MR examination after admission and were confirmed by biopsy or radical mastectomy.The expression of biological prognostic factors(Ki-67,ER,PR)was analyzed and the ADCmin、ADCmean values of different expression states were compared.Receiver operating characteristic(ROC)curve was drawn to evaluate the predictive value of the ADCmin,ADCmean values to different factor expression states.Results The ADCmin value and ADCmean value of high expression of Ki-67 were lower than those of low expression,with statistical significance(P＜0.05).The ADCmin、ADCmean value of positive expression of ER and PR was higher than that of negative expression,with ADCmin statistical significance(P＜0.05).The ROC curve showed that the maximum area under the curve(AUC)for the ADCmin value to predict Ki-67 expression status was 0.906,and the maximum AUC for the ADCmean value to predict Ki-67 expression status was 0.889.The maximum AUC of ADCmin and ADCmean to predict ER expression status were 0.682 and 0.578,respectively.The maximal ACU for predicting PR expression status were 0.639 and 0.585.ADCmin value predicted Ki-67,ER and PR expression status of AUC higher than ADCmean value,the difference was statistically significant(P＜0.05).Conclusion Preoperative DWI parameters ADCmin and ADCmean values are helpful to evaluate the expression status of Ki-67,ER and PR in invasive breast cancer,and ADCmin values are significant in predicting the expression status of Ki-67,ER and PR.
Breast CancerDiffusion Weighted ImagingKi-67 AntigenEstrogen ReceptorProgesterone Receptor
万方数据
维普
