A Large Model for Non-invasive and Personalized Management of Breast Cancer from Multiparametric MRI

Understand

Breast Magnetic Resonance Imaging (MRI) demonstrates the highest sensitivity for breast cancer detection among imaging modalities and is standard practice for high-risk women.

• Interpreting the multi-sequence MRI is time-consuming and prone to subjective variation.
• We develop a large mixture-of-modality-experts model (MOME) that integrates multiparametric MRI information within a unified structure, leveraging breast MRI scans from 5,205 female patients in China for model development and validation.
• MOME matches four senior radiologists' performance in identifying breast cancer and outperforms a junior radiologist.