Table 2. Logistic analysis of clinical features.

Characteristics	Univariable logistic regression			Multivariable logistic regression
	OR (95% CI)	P value		OR (95% CI)	P value
Gender	0.178 (0.109–0.292)	<0.001		0.317 (0.159–0.634)	0.006
Age	0.984 (0.979–0.988)	<0.001		0.998 (0.967–1.031)	0.93
CEA	1.056 (0.614–1.813)	0.87
CA125	0.500 (0.120–2.077)	0.42
Diameter	0.646 (0.557–0.748)	<0.001		1.085 (0.642–1.833)	0.80
Lobulation sign	0.481 (0.353–0.657)	<0.001		4.068 (1.376–12.037)	0.03
Bubble sign	0.329 (0.221–0.488)	<0.001		0.688 (0.346–1.368)	0.37
Spiculation	0.367 (0.233–0.578)	<0.001		0.831 (0.393–1.758)	0.68
Pleural indentation	0.537 (0.347–0.829)	0.02		1.907 (0.863–4.212)	0.18
Cystic lung cancer	0.143 (0.025–0.829)	0.07
Peripheral GGO	0.162 (0.079–0.335)	<0.001		0.719 (0.279–1.852)	0.57
Bronchus Sign	0.250 (0.147–0.425)	<0.001		0.587 (0.284–1.213)	0.23
Vacuolation	0.291 (0.182–0.464)	<0.001		0.759 (0.372–1.548)	0.52
Margin	0.344 (0.257–0.460)	<0.001		1.022 (0.113–9.253)	0.99
Density	0.491 (0.412–0.584)	<0.001		7.593 (2.226–25.894)	0.007

CA125, cancer antigen 125; CEA, carcinoembryonic antigen; CI, confidence interval; GGO, ground-glass opacity; OR, odds ratio.