Table 3.
Performance metrics of all models of non-contrast chest CT scans
| Model | AUC | Accuracy (%) | Sensitivity (%) | Specificity (%) | p-value |
|---|---|---|---|---|---|
| Training cohort | |||||
| Radiomics model | 0.85 [0.80–0.90] | 78% (155/200) [71–83] | 81% (81/100) [72–88] | 74% (74/100) [64–82] | N/A |
| CT attenuation model | 0.63 [0.55–0.71] | 61% (122/200) [54–68] | 54% (54/100) [44–64] | 68% (68/100) [58–77] | <0.001 |
| Nested model (EAT-score+CT attenuation) | 0.86 [0.81–0.91] | 80% (159/200) [73–85] | 77% (77/100) [67–85] | 82% (82/100) [73–89] | 0.41 |
| Test cohort | |||||
| Radiomics model | 0.85 [0.77–0.92] | 77% (77/100) [68–85] | 70% (35/50) [55–82] | 84% (42/50) [70–92] | N/A |
| CT attenuation model | 0.63 [0.52–0.74] | 51% (51/100) [41–61] | 88% (44/50) [75–95] | 14% (7/50) 6–27 | <0.001 |
| Nested model (EAT-score+CT attenuation) | 0.83 [0.74–0.91] | 76% (76/100) [66–84] | 68% (34/50) [53–80] | 84% (42/50) [70–92] | 0.10 |
AUC, area under the receiver operating characteristic curve; EAT, epicardial adipose tissue.
Data in the brackets are 95% confidence interval and data in the parentheses are the numerator and denominator for percentages. The p-value represents significance of AUC between the radiomics model and each of other models.