Neoadjuvant chemotherapy (NACT) is being used increasingly in the management of patients with breast cancer for
systemically reducing the size of primary tumor before surgery in order to improve survival. The clinical response of
patients to NACT is correlated with reduced or abolished of their primary tumor, which is important for treatment in the
next stage. Recently, the dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is used for evaluation of
the response of patients to NACT. To measure this correlation, we extracted the dynamic features from the DCE- MRI
and performed association analysis between these features and the clinical response to NACT. In this study, 59 patients
are screened before NATC, of which 47 are complete or partial response, and 12 are no response. We segmented the
breast areas depicted on each MR image by a computer-aided diagnosis (CAD) scheme, registered images acquired from
the sequential MR image scan series, and calculated eighteen features extracted from DCE-MRI. We performed SVM
with the 18 features for classification between patients of response and no response. Furthermore, 6 of the 18 features
are selected to refine the classification by using Genetic Algorithm. The accuracy, sensitivity and specificity are 87%,
95.74% and 50%, respectively. The calculated area under a receiver operating characteristic (ROC) curve is 0.79±0.04.
This study indicates that the features of DCE-MRI of breast cancer are associated with the response of NACT. Therefore,
our method could be helpful for evaluation of NACT in treatment of breast cancer.