Table 3 Characteristics of the largest nodule as diagnosed by radiologist A, radiologist B and CAD system (N = 79)
From: Assessment of artificial intelligence-aided computed tomography in lung cancer screening
Variables | Radiologist A | Radiologist B | CAD system | p value |
|---|---|---|---|---|
Size | ||||
Mean ± SD | 10.3 ± 16.1 | 10.1 ± 14.5 | 11.8 ± 16.6 | 0.001*a |
Median (range) | 3.5 (1–57) | 4 (1–60) | 7 (1–63) | |
Site | ||||
Left side | 11 (13.9%) | 11 (13.9%) | 16 (20.3%) | < 0.001*b |
Upper lobe | 7 (8.9%) | 7 (8.8%) | 12 (15.2%) | |
Lower lobe | 4 (5.1%) | 4 (5.1%) | 4 (5.1%) | |
Right side | 29 (36.7%) | 33 (41.7%) | 41 (51.9%) | |
Upper lobe | 28 (35.4%) | 21 (29.1%) | 23 (29.1%) | |
Middle lobe | 0 (0%) | 1 (1.3%) | 3 (3.8%) | |
Lower lobe | 1 (1.3%) | 1 (1.3%) | 15 (19%) | |
Shape | ||||
Irregular | 0 (0%) | 1 (1.3%) | 1 (1.3%) | |
Oval | 7 (8.8%) | 7 (8.9%) | 9 (11.4%) | 0.108b |
Rounded | 23 (29.1%) | 25 (31.6%) | 33 (41.8%) | |
Speculated | 10 (12.6%) | 11 (13.9%) | 14 (17.7%) | |
Special feature | ||||
Calcium | 1 (1.3%) | 1 (1.3%) | 1 (1.3%) | 0.323a |
Fat content | 3 (3.8%) | 3 (3.8%) | 3 (3.8%) | |
Lung-RADS | ||||
1 | 42 (53.2%) | 38 (48.1%) | 26 (32.9%) | 0.105b |
2 | 7 (8.8%) | 10 (12.6%) | 22 (27.8%) | |
3 | 8 (10.1%) | 8 (10.1%) | 8 (10.1%) | |
4a | 4 (5.1%) | 5 (6.3%) | 5 (6.3%) | |
4b | 14 (17.7%) | 14 (17.7%) | 14 (17.7%) | |
4x | 4 (5.1%) | 4 (5.1%) | 4 (5.1%) |