Application Values of 2D and 3D Radiomics Models Based on CT Plain Scan in Differentiating Benign from Malignant Ovarian Tumors

Table 2

Univariate and multifactor logistic regression analysis of benign and malignant prediction factor of ovarian tumor.

	Univariate regression analysis			Multifactor regression analysis
Variables	OR	(95% CI)	value	OR	(95% CI)	value
Age	2.340	[1.331; 4.112]	<0.001	2.48	[1.07; 5.74]	0.034
CA125	5.225	[2.701; 10.110]	<0.001	3.53	[1.61; 7.73]	0.002
Boundary	12.813	[4.023; 40.810]	<0.001
Cystic-solid	7.262	[2.423; 21.762]	<0.001	6.37	[1.75; 23.22]	0.005
Ascites	3.558	[2.091; 6.054]	<0.001	2.29	[1.21; 4.34]	0.011