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Predictive model shows robust performance in forecasting pathological complete response among breast cancer patients, indicating potential for tailored treatments.
A predictive model incorporating early peritumoral edema changes, apparent diffusion coefficient, lesion diameter, and molecular subtype achieved an AUC of 0.899, indicating robust predictive performance in predicting pCR among breast cancer patients undergoing NAC. This model may facilitate personalized treatment planning and clinical decision-making.
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Pan et al. (2026) studied this question.
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