Table 2.
Variable | AUC (95% CI) | Accuracy | Sensitivity | Specificity | P valuea |
---|---|---|---|---|---|
Training cohort (n = 98b) | |||||
Radiomic model | |||||
Overall | 0.888 (0.818–0.957) | 0.857 | 0.815 | 0.939 | <.001 |
Inflammatory severity | |||||
None-mild | 0.836 (0.580–1.000) | 0.813 | 0.818 | 0.800 | .010 |
Moderate-severe | 0.890 (0.813–0.966) | 0.866 | 0.815 | 0.964 | <.001 |
Visual interpretation | |||||
Radiologist 1 | 0.508 (0.388–0.629) | 0.582 | 0.646 | 0.455 | .892 |
Radiologist 2 | 0.567 (0.448–0.686) | 0.531 | 0.477 | 0.636 | .281 |
Test cohort (n = 114b) | |||||
Radiomic model | |||||
Overall | 0.832 (0.745–0.919) | 0.833 | 0.902 | 0.656 | <.001 |
Inflammatory severity | |||||
None-mild | 0.829 (0.683–0.926) | 0.721 | 0.750 | 0.704 | <.001 |
Moderate-severe | 0.785 (0.671–0.874) | 0.901 | 0.939 | 0.400 | <.001 |
Visual interpretation | |||||
Radiologist 1 | 0.554 (0.458–0.647) | 0.570 | 0.561 | 0.594 | .354 |
Radiologist 2 | 0.598 (0.502–0.689) | 0.649 | 0.585 | 0.813 | .071 |
NOTE. Accuracy, sensitivity, and specificity of the radiomic model in training and test cohorts were calculated with the cut-off value of 0.811, which maximizes the Youden index in the training cohort.
CI, confidence interval.
P value is the significance level of comparison of AUC with that of random case (AUC = 0.5).
Number of involving bowel segments.