A molecular computational model improves the preoperative diagnosis of thyroid nodules

BMC Cancer

Table 1 ROC analysis for each marker individually

	Sensitivity	Specificity	AUC^a	SE^b	Thresholds Value	95% CI^c
KIT*	79.6	86.8	0,900	0.0313	≤ 0.105	0.817-0.954
CDH1*	61.2	73.7	0.700	0.0586	≤ 0.11	0.559-0.766
NATH	57.8	57.9	0.553	0.0658	≤ 0.112	0.440-0.662
LSM7*	69.4	57.9	0.625	0.0633	≤ 0.11	0.515-0.727
C21orf4*	58.3	73.7	0.644	0.0607	≤ 0.0001	0.533-0.744
DDI2*	56.2	86.8	0.729	0.0551	≤ 0.0026	0.622-0.819
SYNGR2	47.9	78.9	0.608	0.0613	≤ 0.04	0.497-0.712
TC1	85.0	38.2	0.581	0.0679	> 0.006	0.460-0.695
Hs.296031	77.8	32.4	0.490	0.0671	≤ 0.0051	0.375-0.605

ISSN: 1471-2407