Multiparametric MRI deep learning radiomics model predicts axillary pCR after neoadjuvant chemo in breast cancer.

A multiparametric MRI deep learning radiomics model predicted axillary pathological complete response in cN+ breast cancer after neoadjuvant chemo with AUC 0.949 (training, 95% CI 0.912-0.986) and 0.932 (validation, 95% CI 0.867-0.998). Could help select patients for axillary de…

• Retrospective study included 221 cN+ breast cancer patients receiving neoadjuvant chemotherapy.
• Multivariate analysis associated axillary pCR with clinical T stage (OR 0.258), PR, HER2, and time-intensity curve on MRI.

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