TABLE 1.
2-LEVEL CATEGORIZATION BY 22 EXPERTS, N (%) | |||
---|---|---|---|
IMAGE | Plus | Not plus | |
1 | 3 (13.6%) | 19 (86.4%) | |
2 | 1 (4.8%) | 20 (95.2%) | |
3 | 14 (70.0%) | 6 (30.0%) | |
4 | 5 (23.8%) | 16 (76.2%) | |
5 | 3 (14.3%) | 18 (85.7%) | |
6 | 22 (100.0%) | 0 (0.0%) | |
7 | 1 (4.5%) | 21 (95.5%) | |
8 | 21 (95.5%) | 1 (4.5%) | |
9 | 0 (0.0%) | 21 (100.0%) | |
10 | 0 (0.0%) | 22 (100.0%) | |
11 | 22 (100.0%) | 0 (0.0%) | |
12 | 1 (4.5%) | 21 (95.5%) | |
13 | 7 (31.8%) | 15 (68.2%) | |
14 | 2 (9.5%) | 19 (90.5%) | |
15 | 12 (60.0%) | 8 (40.0%) | |
16 | 1 (4.8%) | 20 (95.2%) | |
17 | 8 (38.1%) | 13 (61.9%) | |
18 | 1 (4.5%) | 21 (95.5%) | |
19 | 2 (9.5%) | 19 (90.5%) | |
20 | 20 (95.2%) | 1 (4.8%) | |
21 | 0 (0.0%) | 21 (100.0%) | |
22 | 11 (52.4%) | 10 (47.6%) | |
23 | 17 (77.3%) | 5 (22.7%) | |
24 | 0 (0.0%) | 22 (100.0%) | |
25 | 2 (9.5%) | 19 (90.5%) | |
26 | 16 (72.7%) | 6 (27.3%) | |
27 | 1 (4.5%) | 21 (95.5%) | |
28 | 14 (63.6%) | 8 (36.4%) | |
29 | 1 (4.8%) | 20 (95.2%) | |
30 | 17 (81.0%) | 4 (19.0%) | |
31 | 1 (4.5%) | 21 (95.5%) | |
32 | 3 (13.6%) | 19 (86.4%) | |
33 | 17 (77.3%) | 5 (22.7%) | |
34 | 22 (100.0%) | 0 (0.0%) |
Findings are displayed based on 2-level categorization (“plus,” “not plus”). Images categorized as “cannot determine” were excluded for that expert.