This study was based on mathematical calculation software to calculate the imaging features of dynamic enhanced magnetic resonance images(DCE-MRI). The feasibility of outcome prediction of neoadjuvant chemotherapy(NAC) for breast cancer was tested by three kinds of computerized analysis features: morphological features, grayscale statistical features, and texture features. The results indicated that DCE-MRI computerized analysis features before and after 2-cycles of NAC can not predict the degree of pathological remission of breast cancer. DCE-MRI computerized analysis features after 4-cycles of NAC can evaluate the degree of pathological remission of breast cancer. In other words, DCE-MRI computerized analysis features has the potential to be a new noninvasive method of evaluating NAC outcomes.