Neoadjuvant chemotherapy (NAC) for treatment of breast cancer has the potential benefit of reducing tumor size before surgery. The response to NAC may also provide prognostic information which may lead to more effective chemotherapy. Combining PET and MRI information is useful for assessing the tumor response to NAC in a comprehensive manner. In this study, we performed texture analysis which indicated that the entropy of ADC and difference entropy of SUV were related and can be used to predict pCR with high areas under the receiver operating characteristic curve (AUC).
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