Predicting Post Neoadjuvant Axillary Response Using a Novel Convolutional Neural Network Algorithm

Objectives In the postneoadjuvant chemotherapy (NAC) setting, conventional radiographic complete response (rCR) is a poor predictor of pathologic complete response (pCR) of the axilla. We developed a convolutional neural network (CNN) algorithm to better predict post-NAC axillary response using a breast MRI dataset.