Table 3.
Results of TE performance in quantifying fibrosis stages in NASH patients based on different studies (Optimal cutoff values for liver stiffness based on fibrosis stage); Positive Predictive Value (PPV) , Negative Predictive Value (NPV), Transient elastography (TE), fibrosis (F), area under the Receiver Operating Characteristic Curve (AUROC
| Gaia (n:72) |
Yoneda
(N 97) |
Bokl
(N 30) |
Nobili
(N 50) |
Lupsor
(N 72) |
Wong
(N 246) |
Mahadeva
(N 131) |
|
|---|---|---|---|---|---|---|---|
| F≥ 1 | |||||||
| AUROC | 0.776 | 0.92 | 0.78 | - | - | - | - |
| Optimal cut-off (kPa) | 5.5 | 5.9 | 5.35 | - | - | - | - |
| Sensitivity (%) | 84 | 86 | 83 | - | - | - | - |
| Specificity (%) | 57 | 88 | 72 | - | - | - | - |
| PPV (%) | 80 | 97 | 67 | - | - | - | - |
| NPV (%) | 62 | 59 | 87 | - | - | - | - |
| F≥ 2 | |||||||
| AUROC | 0.8 | 0.86 | 0.78 | 0.99 | 0.78 | 0.84 | - |
| Optimal cut-off (kPa) | 7 | 6.6 | 5.35 | 7.4 | 6.8 | 7.0 | - |
| Sensitivity (%) | 76 | 88 | 83 | 100 | 66.6 | 79 | - |
| Specificity (%) | 80 | 74 | 58 | 92 | 84.3 | 76 | - |
| PPV (%) | 75 | 79 | 33 | 80 | 60 | 70 | - |
| NPV (%) | 78 | 85 | 93 | 100 | 87 | 84 | - |
| F≥ 3 | |||||||
| AUROC | 0.7 | 0.90 | 1.00 | 1.0 | 0.978 | 0.93 | 0.77 |
| Optimal cut-off (kPa) | 8 | 9.8 | 12.85 | 10.2 | 10.4 | 8.7 | 7.10 |
| Sensitivity (%) | 65 | 85 | 100 | 100 | 100 | 84 | 70.4 |
| Specificity (%) | 80 | 81 | 100 | 100 | 97 | 83 | 66.6 |
| PPV (%) | 48 | 64 | 100 | 100 | 71 | 59 | 38.0 |
| NPV (%) | 86 | 93 | 100 | 100 | 100 | 95 | 88.7 |
| F≥ 4 | |||||||
| AUROC | 0.94 | 0.99 | - | - | - | 0.95 | 0.95 |
| Optimal cut-off (kPa) | 10.5 | 17.5 | - | - | - | 10.3 | 11.30 |
| Sensitivity (%) | 78 | 100 | - | - | - | 92 | 87.5 |
| Specificity (%) | 96 | 97 | - | - | - | 88 | 89.3 |
| PPV (%) | 70 | 75 | - | - | - | 46 | 34.3 |
| NPV (%) | 97 | 100 | - | - | - | 99 | 99.1 |