Do Breast Edema and Shrinkage pattern Provide Additional Evaluation Value for Treatment Response and Recurrence in Luminal Breast Cancer

This is the authors' abstract. We don't add key points for this paper.

This study aims to develop an accurate and convenient prediction model for luminal breast cancer based on conventional MRI. First, we evaluated conventional MRI features and their changes during NAC (pre, early and post) and identified stable imaging markers that predicted multiple treatment responses and prognosis. Second, we comprehensively explored the shrinkage pattern, breast edema and changes during NAC. We found that both of them can provide added value to traditional MRI features. Finally, we constructed a combined model with multi-parameter MRI features and clinicopathological information, which showed good prediction performance in treatment response and prognosis of luminal breast cancer.