Table 3.

Performance of the discriminating rules generated using logistic regression and neural network classifiers for differentiating sub KC and KC corneas from normal corneas

	Normal vs. Sub KC			Normal vs. KC
	Sensitivity	1-Specificity	AUC	Sensitivity	1-Specificity	AUC
Logistic Regression
Pentacam HR system	83.8%	88.7%	0.74	100%	100%	1.00
UHR-OCT	95.3%	94.5%	0.90	98.0%	100%	0.98
Pentacam HR system & UHR-OCT	95.1%	94.8%	0.90	100%	99.4%	0.99
Neural Network
Pentacam HR system	82.1%	82.6%	0.68	100%	100%	1.00
UHR-OCT	94.8%	93.4%	0.88	99.5%	99%	0.98
Pentacam HR system & UHR-OCT	98.5%	94.7%	0.93	100%	100%	1.00

UHR-OCT= ultra-high resolution optical coherence tomography; Sub KC= subclinical keratoconus group; KC= keratoconus group