Benefit of adding digital breast tomosynthesis to digital mammography for breast cancer screening focused on cancer characteristics: a meta-analysis.

Purpose: We evaluated the benefit of adding digital breast tomosynthesis (DBT) to full-field digital mammography (FFDM) compared to FFDM alone for breast cancer detection, focusing on cancer characteristics.

Methods: We searched electronic databases and relevant references for published studies comparing DBT plus FFDM to FFDM alone for breast cancer screening. Pooled risk ratios (RRs) for various pathologic findings were determined using random effects models.

Results: Eleven eligible studies were included. Pooled RRs showed a greater cancer detection for DBT plus FFDM than for FFDM alone for invasive cancer (1.327; 95% CI, 1.168-1.508), stage T1 (1.388; 95% CI, 1.137-1.695), nodal-negative (1.451; 95% CI, 1.209-1.742), all histologic grades (grade I, 1.812; grade II/III, 1.403), and histologic types of invasive cancer (ductal, 1.437; lobular, 1.901). However, adding DBT did not increase for detection of carcinoma in situ (1.198; 95% CI, 0.942-1.524), stage ≥T2 (1.391; 95% CI, 0.895-2.163), or nodal-positive cancer (1.336; 95% CI, 0.921-1.938). Heterogeneity among studies was not significant in any subset analysis.

Conclusions: Adding DBT to FFDM enabled detection of early invasive breast cancer that might have been missed with FFDM alone. Knowing which cancer characteristic DBT detects may allow it to play a complementary role in predicting long-term patient outcomes and facilitate treatment planning.