Does the Risk of Ovarian Malignancy Algorithm Provide Better Diagnostic Performance Than HE4 and CA125 in the Presurgical Differentiation of Adnexal Tumors in Polish Women?

Table 5

The AUCs with statistical differences and optimal cut-offs for tumor markers and ROMA in the presurgical differentiation of adnexal tumors in the whole group and premenopausal and postmenopausal subgroups.

Diagnostic test	Whole group			Premenopausal subgroup			Postmenopausal subgroup
	AUC (95% CI)	value	Optimal cut-off	AUC (95% CI)	value	Optimal cut-off	AUC (95% CI)	value	Optimal cut-off
HE4	0.928 (0.885–0.971)	<0.001	72.4	0.867 (0.739–0.996)	<0.001	54	0.915 (0.857–0.972)	<0.001	92
CA125	0.838 (0.76–0.917)	<0.001	51	0.749 (0.548–0.950)	0.008	42.7	0.891 (0.816–0.966)	<0.001	35
ROMA	0.928 (0.883–0.972)	<0.001	18.2	0.865 (0.729–1.000)	<0.001	8.8	0.917 (0.857–0.977)	<0.001	29.5

AUC: area under the curve; CI: confidence interval; ROMA: Risk of Ovarian Malignancy Algorithm.