Table 4.
Summary of ROC curve analysis for epithelial thickness gradient variables. The table reports the area under the curve (AUC), 95% confidence intervals, optimal cut-off points (based on the Youden index), sensitivity, and specificity for each parameter
| Variable | AUC | 95% CI Lower | 95% CI Upper | Optimal Cut-off* | Sensitivity | Specificity |
|---|---|---|---|---|---|---|
| ∆ Temporal—Central | 0.960 | 0.938 | 0.983 | 0.500 | 0.938 | 0.952 |
| ∆ Superior—Central | 0.976 | 0.961 | 0.991 | 0.500 | 0.957 | 0.947 |
| ∆ Nasal—Central | 0.967 | 0.948 | 0.986 | 2.500 | 0.899 | 0.973 |
| ∆ Inferior—Central | 0.963 | 0.941 | 0.985 | 2.500 | 0.909 | 0.973 |
| Mean ∆ET | 0.975 | 0.958 | 0.992 | 1.125 | 0.957 | 0.973 |
AUC, area under the curve; CI, confidence interval; ET, epithelial thickness
*Cut-off values were selected to maximize the sum of sensitivity and specificity (Youden’s J index) and may vary slightly depending on the distribution of values in the sample