Breast cancer is the second leading cause of women death in the United States. Currently,
Neoadjuvant Chemotherapy (NAC) has become standard treatment paradigms for breast cancer
patients. Therefore, it is important to find a reliable non-invasive assessment and prediction
method which can evaluate and predict the response of NAC on breast cancer. The Dynamic
Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) approach can reflect dynamic
distribution of contrast agent in tumor vessels, providing important basis for clinical diagnosis.
In this study, the efficacy of DCE-MRI on evaluation and prediction of response to NAC in
breast cancer was investigated. To this end, fifty-seven cases of malignant breast cancers with
MRI examination both before and after two cycle of NAC were analyzed. After pre-processing
approach for segmenting breast lesions and background regions, 126-dimensional imaging
features were extracted from DCE-MRI. Statistical analyses were then performed to evaluate
the associations between the extracted DCE-MRI features and the response to NAC.
Specifically, pairwise t test was used to calculate differences of imaging features between MRI
examinations before-and-after NAC. Moreover, the associations of these image features with
response to NAC were assessed using logistic regression. Significant association are found
between response to NAC and the features of lesion morphology and background parenchymal
enhancement, especially the feature of background enhancement in normal side of breast
(P=0.011). Our study indicate that DCE-MRI features can provide candidate imaging markers
to predict response of NAC in breast cancer.