A nomogram prediction model for breast cancer BM integrating multi-dimensional information (molecular subtypes, imaging features, and clinicopathological characteristics) was successfully constructed. This model has good ability to distinguish breast cancer patients with BM from thosewithout, with favorable calibration and clinical applicability, and provides a quantitative tool for clinical assessment of the risk of breast cancer BM.