A total of 363 benign, 18 intermediate and 40 malignant lesions were analysed. The majority of tumors were benign (86.2%, n = 363), with a smaller proportion exhibiting intermediate (4.3%, n = 18) or malignant differentiation (9.5%, n = 40). The most common benign tumors included fibroadenomas (90.9%, n = 319), fibrocystic mastopathy (7.1%, n = 25), and adenosis (2.9%, n = 10). Algorithm based quantitative ranking showed that the most predictive features indicating malignancy were hyperechoic rim (gain ratio merit 0.135 ± 0.004), irregular border (0.057 ± 0.002), perilesional stiffening (0.054 ± 0.002), pectoral contact (0.051 ± 0.003), irregular shape (0.029 ± 0.001) and irregular vasculature (0.027 ± 0.002). Notably, patient age, lesion size (in all dimensions), volume, height-to-width ratio, and volume doubling time did not demonstrate significant value for classification purposes.