Significance and Application of Digital Breast Tomosynthesis for the BI-RADS Classification of Breast Cancer.

Background: Full-field digital mammography (FFDM) with dense breasts has a high rate of missed diagnosis, and digital breast tomosynthesis (DBT) could reduce organization overlapping and provide more reliable images for BI-RADS classification. This study aims to explore application of COMBO (FFDM+DBT) for effect and significance of BI-RADS classification of breast cancer.

Materials And Methods: In this study, we selected 832 patients who had been treated from May 2013 to November 2013.