Prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer using a deep learning (DL) method

Abstract

Significant findings of the study. It achieved an AUC of 0.968 for pCR prediction. It showed a significantly greater AUC than using pre-NAC data only. What this study adds This study established a deep learning model to predict PCR status after neoadjuvant therapy by combining pre-NAC and post-NAC MRI data.