Dataset (origin, method of analysis) | Method | Accuracy (%) | PPV (%) | NPV (%) | Sensitivity (%) | Specificity (%) | Prevalence of FTC in dataset (%) |
---|---|---|---|---|---|---|---|
B (own, microarray) | DLDA classification based on the 8 best genes chosen from 99 preselected ones.* | 80 | 82 | 78 | 76 | 83 | 50 |
DLDA classification based on 45 (optimal number) best genes chosen from 99 preselected ones.* | 84 | 85 | 83 | 83 | 85 | 50 | |
C (own, FFPE qPCR) | 5-gene DLDA classification (cut-off 0.5)** | 72(95% CI: 60–82) | 67(95% CI: 48–82) | 76(95% CI: 60–89) | 71(95% CI: 52–86) | 72(95% CI: 56–85) | 44 |
5-gene DLDA classification (cut-off 0.12)** | 70 | 61 | 88 | 90 | 55 | 44 | |
D (own, microarray) | 5-gene DLDA classifier trained on dataset B, tested on D | 73 | 77 | 69 | 71 | 75 | 54 |
E1 (Weber et al. microarray) | 5-gene DLDA classifier.** | 92 | 100 | 86 | 83 | 100 | 50 |
E2 (Hinsch et al. microarray) | 5-gene DLDA classifier.** | 83 | 100 | 67 | 75 | 100 | 67 |