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Table 4 Logistic regression analysis of clinical factors predicting benign and early stage malignant ovarian tumors

From: Diagnostic value of a CT-based radiomics nomogram for discrimination of benign and early stage malignant ovarian tumors

Clinical factors

Univariate logistic regression analysis

Multivariate logistic regression analysis

OR (95% CI)

P value

OR (95% CI)

P value

CA125

2.636 (0.996–6.977)

0.051*

0.261 (0.114–0.597)

0.001**

HE4

10.246 (1.136–92.395)

0.038*

0.069 (0.008–0.568)

0.013**

Maximum diameter

2.422 (0.903–6.500)

0.079*

0.427 (0.176–1.038)

0.060

Ascites

2.049 (0.816–5.146)

0.127

 

Radscord

  

3.042 (1.771–5.228)

0.000**

  1. *P < 0.10, **P < 0.05: included in the radiomics nomogram