Objective To evaluate clinical value of dynamic contrast enhanced MRI (DCE-MRI) to identify benign and malignant breast tumor and predicting histological grades for breast cancer patients. Methods DCE-MRI from 86 patients who admitted from Jan. 1, 2012 to Dec. 31,2014, in our hospital, were retrospectively analyzed. in the first dynamic phase, the strengthened and weakest 3 areas (hot spot, cold spot)in the maximum axial tumors were selected as ROIs. Then the parameters of the ROI were calculated and compared. The ROC curve analysis was applied to test the diagnostic power of DCE-MRI parameters (initial slope, inflow/washout slope ratio, fast inflow/ washout, ring enhancement, internal homogeneity) for differentiating benign breast tumors from malignant ones. χ2 or Kruskal-Wallis test were used to analyze categorical data. Results the area under ROC curve (AUC) of hot spot initial slope is 0.675, biggest among all MRI parameters (P> 0.05). its sensitivity and specificity were 68.6% and 67.6% respectively. The cold initial slope, inflow slope ratio and internal homogeneity showed a significant correlation with histologic grade (P <0.05). the median and quartile of cold initial slope in pathologic I, Ⅱand Ⅲ were 6.2×10-3,5.5×10-3 and 1.6×10-3; inflow slope ratio: 6.7,9.9 and 16.8 ; pathologic I, Ⅱand Ⅲ showed 3,7 and 3 patients with homogeneity enhancement; intermediate enhancement: 1,11 and 5 patients; heterogeneity enhancement: 0,5 and 10 patients. Conclusion The DCE- MRI is a potential tool in helping differentiate malignant tumors from benign ones, and predict the histologic grade in breast cancers.