To make a comparative study of the value of automated breast volume scanner (ABVS) versus mammography (MG) in the diagnosis of breast neoplasms.

One hundred and twenty female patients with 156 breast neoplasms diagnosed by conventional ultrasound, ABVS, and MG at our hospital from May 2016 to December 2016 were included in this study. Using the pathological results as the gold standard, the diagnostic efficiencies of conventional ultrasound, ABVS, and MG were comparatively analyzed.

The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of conventional ultrasound in the diagnosis of breast neoplasms were 79.5%, 72.6%, 76.3%, 76.7%, and 75.7%, respectively; the corresponding values were 97.6%, 87.7%, 92.9%, 90.0%, and 97. 0% for ABVS, and 80.7%, 74.0%, 77.6%, 77.9%, and 77.1% for MG. The sensitivity, specificity, and accuracy of ABVS were significantly higher than those of conventional ultrasound (χ²= 11.65, 4.30, and 15.39, respectively, P<0.05). The sensitivity and accuracy of ABVS were significantly higher than those of MG (χ²= 10.35 and 13.49, respectively, P< 0.05). The diagnosis of breast calcification by ABVS and MG was comparatively consistent (Kappa= 0.79, P< 0.05).

The specific coronal plane image of ABVS can clearly show breast neoplasms. Compared to MG, ABVS performs better in terms of sensitivity and accuracy.