• We developed a novel multi-modality model that combines MRI and mammography radiomics with clinical factors to accurately predict axillary lymph node (ALN) metastasis, which has not been previously reported. • Our multi-modality model outperformed both the radiologists' ALN diagnosis based on MRI and axillary ultrasound, as well as single-modality radiomics models based on MRI or mammography. • The multi-modality model can serve as a potential decision support tool to improve the radiologists' ALN diagnosis on MRI.
Keyphrases
- contrast enhanced
- magnetic resonance imaging
- lymph node
- lymph node metastasis
- magnetic resonance
- computed tomography
- diffusion weighted imaging
- neoadjuvant chemotherapy
- sentinel lymph node
- squamous cell carcinoma
- ultrasound guided
- artificial intelligence
- radiation therapy
- machine learning
- early stage
- image quality
- locally advanced