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To assess whether DCE-MRI radiomic features enhance the prediction of breast cancer molecular subtypes compared to conventional MRI features.

June 27, 2026

Combining Conventional MRI and DCE-MRI Radiomics for Prediction of Breast Cancer Molecular Subtypes: A Retrospective Single-Center Cross-Sectional Study.

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To assess whether DCE-MRI radiomic features enhance the prediction of breast cancer molecular subtypes compared to conventional MRI features.
Retrospective, single-center cross-sectional study with 206 patients
Radiomic features extracted from DCE-MRI and harmonized with ComBat
Logistic regression models constructed for MRI, radiomics, and combined features
Luminal A tumors less likely to have positive lymph nodes (OR, 0.31; p=0.001)
Luminal B tumors associated with multifocality (OR, 2.22; p=0.004)
Combined model had the highest AUC for HER2 (0.858) and TNBC (0.890), outperforming MRI models

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Retrospective trial evaluates combined MRI and radiomics for predicting breast cancer subtypes, indicating improved accuracy.

Hue et al. (2026) studied this question.

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