Table 3. Summary of Studies Using AI-CAD for DBT Interpretation.
References | No. of Readers | No. of DBT Exams | Software Used | Reading Time | AUC | Sensitivity (%) | Specificity (%) | Recall Rates (%) | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Without CAD | With CAD | Without CAD | With CAD | Without CAD | With CAD | Without CAD | With CAD | |||||
Balleyguier et al. 2017 [39] | 6 | 80 (23 cancers) | PowerLook Tomo Detection, iCAD | ↓ 48.2 sec† | 0.854 | 0.850 | 86.5 | 86.5 | 57.6 | 56.2 | 42.7 | 45.2 |
↓ 23.5% | ||||||||||||
Benedikt et al. 2018 [40] | 20 | 240 (60 cancers) | PowerLook Tomo Detection, iCAD* | ↓ 19.6 sec† | 0.841 | 0.850 | 84.7 | 87.1 | 52.7 | 50.9 | 47.4 | 49.2 |
↓ 29% | ||||||||||||
Chae et al. 2019 [41] | 4 | 100 (70 cancers) | In-house DBT CAD system | ↓ 10.04 sec† | 0.778 | 0.776 | 77.5 | 78.6 | 66.7 | 66.7 | - | - |
↓ 14% | ||||||||||||
Conant et al. 2019 [35] | 24 | 260 (65 cancers) | PowerLook Tomo Detection, iCAD | ↓ 34.7 sec† | 0.795 | 0.852 | 77.0 | 85.0† | 62.7 | 69.6† | 38.0 | 30.9† |
↓ 52.7% |
*CAD system focuses on detecting soft tissue lesions and does not detect calcifications, †With statistical significance. AI = artificial intelligence, AUC = area under the receiving operator characteristics curve, CAD = computer-aided detection/diagnosis, DBT = digital breast tomosynthesis