From: The efficacy of TACE; how can automated feeder software help?
Actual | % of Agreement | p | ||||
---|---|---|---|---|---|---|
1 (n = 12) | 2 (n = 20) | 3 (n = 14) | 4 (n = 11) | |||
Observer A | ||||||
1 | 12 (100%) | 2 (10%) | 1 (7.1%) | 0 (0%) | 54.4 | < 0.001* |
2 | 0 (0%) | 13 (65.0%) | 10 (71.4%) | 0 (0%) | ||
3 | 0 (0%) | 5 (25.0%) | 3 (21.4%) | 8 (72.7%) | ||
4 | 0 (0%) | 0 (0%) | 0 (0%) | 3 (27.3%) | ||
Observer B | ||||||
1 | 9 (75.0%) | 7 (35.0%) | 0 (0.0%) | 0 (0.0%) | 43.8 | < 0.001* |
2 | 2 (16.7%) | 9 (45.0%) | 13 (92.9%) | 0 (0.0%) | ||
3 | 1 (8.3%) | 4 (20.0%) | 1 (7.1%) | 5 (45.5%) | ||
4 | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 6 (54.5%) | ||
EmboGuide | ||||||
1 | 12 (100%) | 0 (0%) | 0 (0%) | 0 (0%) | 91.2 | < 0.001* |
2 | 0 (0%) | 16 (80%) | 1 (7.1%) | 0 (0%) | ||
3 | 0 (0%) | 4 (20%) | 13 (92.9%) | 0 (0%) | ||
4 | 0 (0%) | 0 (0%) | 0 (0%) | 11 (100%) |