Table 3.

Comparison of Diagnostic Performance of ADNEX Models with and Without CA 125

ADNEX Models	AUC (95% CI)	Sensitivity (95% CI) (%)	Specificity (95% CI) (%)	PPV (95% CI) (%)	NPV (95% CI) (%)	LR+ (95% CI)	LR- (95% CI)	DOR	Optimal Cut-Off Value (%)	p-value*
With CA 125	0.94 (0.90–0.97)	86.7 (78.6–92.5)	91.6 (85.1–95.9)	90.1 (83.3–94.3)	88.6 (82.7–92.7)	10.31 (5.67–18.75)	0.15 (0.09–0.24)	68.73	46.7	0.20
Without CA 125	0.93 (0.89–0.96)	89.5 (82.0–94.7)	85.7 (78.1–91.5)	84.7 (78.0–89.6)	90.3 (84.1–94.2)	6.27 (4.02–9.78)	0.12 (0.07–0.22)	52.25	44.3

Notes: Diagnostic performance of International Ovarian Tumor Analysis ADNEX model in discriminating between benign and malignant tumors, according to whether CA 125 level is included in model. *DeLong’s test was used to compare the AUC values of ADNEX model with and without CA 125 measurements.

Abbreviations: AUC, area under the receiver operating characteristic curve; PPV, positive predictive value; NPV, negative predictive value; LR+, positive likelihood ratio; LR-, negative likelihood ratio; DOR, diagnostic odds ratio.