Table 3.

Diagnostic comparison of the three methods.

	Sensitivity (95% CI)	Specificity (95% CI)	Accuracy	PPV (95% CI)	NPV (95% CI)	Kappa (95% CI)	AUC (95% CI)
Fischer’s	98.70% (93.0–100.0%)	65.75% (53.7–76.5%)	82.67%	75.2% (65.6–83.3%)	98.0% (89.1–99.9%)	0.65 (0.534–0.766)	0.912 (0.855–0.952)
Fischer’s + ADC	97.40% (90.9–99.7%)	82.19% (71.5–90.2%)	90.00%	85.2% (76.0–91.9%)	96.8% (88.8–99.6%)	0.799 (0.704–0.894)	0.949 (0.901–0.978)
ADC	83.12% (72.9–90.7%)	79.45% (68.4–88.0%)	83.97%	81.0% (68.5–87.3%)	81.7% (69.8–89.6%)	0.626 (0.501–0.751)	0.855 (0.789–0.907)

PPV – positive predictive value; NPV – negative predictive value; AUC – area under the ROC curve.