Table 1.
S1 | S2 | S3 | |
---|---|---|---|
R1 | |||
Sensitivity | 82.8% (716/865) [80.1%, 85.2%] | 88.9% (769/865) [86.6%, 90.9%] | 88.7% (767/865) [86.3%, 90.7%] |
FPS | 0.16 (31/198) [0.11, 0.22] | 0.21 (42/198) [0.16, 0.28] | 0.22 (43/198) [0.16, 0.28] |
R2 | |||
Sensitivity | 83.9% (726/865) [81.3%, 86.3%] | 88.7% (767/865) [86.3%, 90.7%] | 88.8% (768/865) [86.5%, 90.8%] |
FPS | 0.19 (38/198) [0.14, 0.26] | 0.13 (26/198) [0.089, 0.19] | 0.091 (18/198) [0.056, 0.14] |
DL, deep learning; FPS, false-positive per scan.
The data in parentheses represent the detected fractures over the total number of fractures or false-positive over total scans for the sensitivity and FPS, respectively.
The data in brackets represent the 95% confidence intervals.
S1, S2, and S3 represent the reading session without DL, DL as a concurrent reader, and DL as a second reader, respectively.
R1 and R2 indicate reader 1 and reader 2, respectively.