Recently, DWI has been increasingly used in distinguishing benign inflammation lesions and breast cancers. A total of 15 patients with invasive ductal carcinoma (IDC) and 10 patients with idiopathic granulomatous mastitis (IGM) were retrospectively evaluated. We extracted the whole-lesion histogram and textural features from the ADC map. Univariate and multivariate logistic regression analysis was performed. The area under the curve (AUC) at the best cut-off point was assessed. Using the three significant features (difference entropy, difference variance and entropy of ADC), we obtained an AUC of 0.953 (95% CI: 0.787, 0.998) for the differentiation between IGM group from tumor group.