Table 4 Sensitivity of mammography/ artificial intelligence according to lesion morphology
From: Does artificial intelligence aid in the detection of different types of breast cancer?
Mammography results | P value | |||||
|---|---|---|---|---|---|---|
False negative | True positive | |||||
N | % | N | % | |||
Suspicious mass | No | 1 | 3.3 | 29 | 96.7 | 0.074 |
Yes | 16 | 15.4 | 88 | 84.6 | ||
Asymmetry and Distortion | No | 15 | 55.6 | 12 | 44.4 | 0.002 |
Yes | 1 | 25.0 | 3 | 75.0 | ||
Calcifications | No | 12 | 12.4 | 85 | 87.6 | < 0.0001 |
Yes | 5 | 13.5 | 32 | 86.5 | ||
Artificial intelligence interpretation | ||||||
Calcifications | No | 5 | 5.2 | 92 | 94.8 | < 0.0001 |
Yes | 0 | 0.0 | 37 | 100.0 | ||
Suspicious mass | No | 0 | 0.0 | 30 | 100.0 | < 0.0001 |
Yes | 5 | 4.8 | 99 | 95.2 | ||
Asymmetry and Distortion | No | 3 | 11.1 | 24 | 88.9 | < 0.0001 |
Yes | 0 | 0.0 | 4 | 100.0 |