Assessment of artificial intelligence-aided chest computed tomography in diagnosis of chronic obstructive airway disease: an observational study

Egyptian Journal of Radiology and Nuclear Medicine

Table 6 Discriminating thresholds and diagnostic performance of D-value for distinguishing moderate from mild COPD using forced expiratory volume in the first second (FEV1) spirometric parameter as a reference (gold) standard

Coordinates of ROC curve	Threshold for achieving optimal sensitivity and specificity	Threshold for achieving near-90% sensitivity	Threshold for achieving near-90% specificity
AUC	0.573
Standard error	0.085
95%CI	0.406–0.740
p value	0.340
Cut-off	≥ − 5.0	≥ − 5.3	≥ − 3.8
Sensitivity
TP/(TP + FN)	77.0%	89.7%	18.0%
Specificity
TN/(TN + FP)	48.0%	39.1%	87.0%

ROC curve receiver operating characteristics curve, AUC area under ROC curve, CI confidence interval, TP true positive, FN false negative, TN true negative, FP false positive