Table 1.

Diagnostic accuracy of predictive models for OED/OSCC. Dichotomous splits for case vs. non-case are indicated by “|”. Sensitivity, specificity, and AUC (95% CIs) for the cross-validated algorithms for early disease (2|3,4,5,6), mild|moderate dysplasia (2,3|4,5,6), low|high risk (2,3,4L|4H,5,6), late disease (2,3,4|5,6), benign vs. malignant (2 vs. 6), and healthy control vs. malignant (1 vs. 6) models. Reproduced from [13] with permission from SAGE Publishing.

	Sensitivity	Specificity	AUC
Early Disease—2|3,4,5,6	0.72 (0.67–0.76)	0.73 (0.69–0.78)	0.82 (0.77–0.87)
2,3|4,5,6	0.79 (0.74–0.83)	0.85 (0.81–0.89)	0.89 (0.84–0.93)
2,3,4L|4H,5,6	0.80 (0.75–0.84)	0.82 (0.78–0.86)	0.89 (0.84–0.93)
Late Disease—2,3,4|5,6	0.86 (0.82–0.90)	0.84 (0.80–0.88)	0.93 (0.88–0.97)
2 vs. 6	0.89 (0.85–0.92)	0.90 (0.85–0.93)	0.95 (0.91–0.98)
1 vs. 6	0.94 (0.89–0.97)	0.92 (0.87–0.95)	0.97 (0.94–1.00)