Keywords: Breast, MR ValueThe histological grade of invasive breast cancer should be obtained by invasive needle biopsy , and the extracted tissue might not represent the heterogeneity of the whole tumor. Therefore, a novel nomogram was built from mDixon-Quant MRI-based radiomics features and traditional clinical image characteristics for grading invasive ductal breast cancer. The AUC of the combined model reached 0.907, which was significantly higher than that of the model only using traditional clinical image characteristics (0.782) or radiomics features (0.834). The proposed method can be an effective supplement to conventional breast MRI in predicting the histological grade of invasive ductal breast cancer.
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