Predictive model reveals improved accuracy for breast cancer treatment strategies using neoadjuvant therapy and deep learning.
Integrating traditional radiomics and 3D deep learning features from different phases of DCE-MRI can accurately predict pCR to NAT in breast cancer accurately. Multi-phase imaging and diverse features are important to improve predictive accuracy and the constructed model may help guide personalized treatment strategies.
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Zhang et al. (2025) studied this question.
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