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. 2020 Dec 17;94(1118):20200870. doi: 10.1259/bjr.20200870

Table 1.

Sensitivity and FPS for detecting rib fractures in the three sessions

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.