*2.3. Image Processing*

Regions of interest were manually segmented, slice by slice, by two expert radiologists, with 25 and 20 years of experience in breast imaging, respectively.

Breast lesions were segmented on dual-energy subtracted images, where contrast uptake was emphasized, both in CC and in MLO, and on the third T1-weighted subtracted series where contrast uptake was emphasized.

Radiomics features were extracted using the Texture Toolbox of MATLAB®, realized by Vallières et al. [45], which includes 48 parameters calculated according to the Image Biomarker Standardization Initiative [46], as previously described in [43,44]. The textural features include both first-order and second-order features; an extra detailed description of each feature has been provided in Appendix A.
