Multi-modality radiomics model predicts axillary lymph node metastasis of breast cancer using MRI and mammography

ConclusionThe multi-modality model can predict ALN metastasis of breast cancer accurately. Moreover, the artificial intelligence (AI) model also assisted the radiologists to improve their diagnostic ability on MRI.Clinical relevance statementThe multi-modality model based on both MRI and mammography images allows preoperative prediction of axillary lymph node metastasis in breast cancer patients. With the assistance of the model, the diagnostic efficacy of radiologists can be further improved.Key Points•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.
Source: European Radiology - Category: Radiology Source Type: research