An ADC-based Radiomics model: differential diagnosis of mucinous breast carcinoma from similar morphological invasive ductal breast carcinoma

Mucinous breast carcinomas (MBCs) always have similar morphological manifestations with invasive ductal breast carcinomas (IDCs) on conventional MRI. MBCs have a better prognosis and early treatment can achieve good results. Radiomics is a novel tool automated data feature extraction algorithms，which has the potential to uncover disease characteristics that are difficult to identify by human vision alone. We develop a radiomics model for explore the preoperative differentiation of combining the intratumoral signal intensity (SI) on T2WI and ADC derived from DWI in MBCs and IDC. The results confirm that the model has potential in the differential diagnosis of MBCs and IDC.