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Dynamic contrast-enhanced MRI-based radiomics model of intra-tumoral kinetic heterogeneity for predicting breast cancer molecular subtypes

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The radiomics model showed high performance for predicting molecular subtypes with AUC values over 0.9.
Significant differentiation between Luminal, HER2, and HER2 status was observed using washout region features.
DCE-MRI kinetic heterogeneity parameters were used to classify tumors into Persistent, Washout, and Plateau subregions.
This method may enable non-invasive identification of breast cancer molecular subtypes, improving treatment strategies.

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Dynamic contrast-enhanced MRI segments intra-tumoral regions, predicting HER2 and molecular subtypes effectively.

Cheng et al. (2025) studied this question.

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