Table 4:

Diagnostic performance of ADC maps capable of distinguishing HPV+ from HPV– OPSCC on the basis of ADC mean, skewness, and kurtosis^{^a}

Feature	AUC	P Value	TP	FP	TN	FN	Sensitivity	Specificity	Accuracy	Optimal Threshold
ADC_b0–1000
ADC mean	0.723	.019	8	7	16	3	0.727	0.695	0.706	1062.429^{^b}
ADC skewness	0.731	.016	8	6	17	3	0.727	0.739	0.735	0.349
ADC kurtosis^{^c}	0.893	<.001	11	4	19	0	1.000	0.826	0.882	0.640
ADC_{b0–750–1000}
ADC mean	0.755	.009	8	7	16	3	0.727	0.695	0.706	1088.702^{^b}
ADC skewness	0.715	.023	8	5	18	3	0.727	0.783	0.765	0.500
ADC kurtosis^{^c}	0.826	.001	10	5	18	1	0.909	0.783	0.823	0.651
ADC_{b0–500–750–1000}
ADC mean	0.755	.009	8	5	18	3	0.727	0.783	0.765	1034.222^{^b}
ADC skewness	0.727	.009	8	4	19	3	0.727	0.826	0.794	0.525
ADC kurtosis^{^c}	0.826	.001	10	5	18	1	0.909	0.783	0.823	0.620
ADC_b100–1000
ADC mean	0.636	.105	8	8	15	3	0.727	0.652	0.676	958.089^{^b}
ADC skewness	0.581	.231	7	9	14	4	0.636	0.609	0.618	0.133
ADC kurtosis^{^c}	0.751	.010	9	7	16	2	0.818	0.696	0.735	0.484

Note:—TP indicates true-positive; FP, false-positive; TN, true-negative; FN, false-negative.
↵a For comparison, the diagnostic performance of the perfusion-insensitive map recommended in the literature¹⁴ is equally shown. P values to distinguish HPV+ from HPV– OPSCC were calculated with the Mann-Whitney-Wilcoxon test. Sensitivity, specificity, and accuracy were calculated using the optimal threshold (Youden index from receiver operating curve analysis).
↵b ADC mean thresholds in x10⁻⁶mm²/s.
↵c Excess kurtosis.