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Table 2 Univariate and multivariate logistic regression analysis of the radiomic signature and preoperative clinical parameters

From: Radiomic nomogram based on MRI to predict grade of branching type intraductal papillary mucinous neoplasms of the pancreas: a multicenter study

Characteristics

Univariate analysis

Multivariate analysis

OR

95% CI

P

OR

95% CI

P

Radiomics signature

3.616

1.977 ~ 6.612

<  0.001 *

3.321

1.646 ~ 6.701

0.001 *

Age

0.963

0.910 ~ 1.018

0.185

   

Symptom

2.023

0.821 ~ 4.985

0.122

   

Sex

0.814

0.302 ~ 2.193

0.683

   

MPD size

3.355

1.912 ~ 5.887

<  0.001 *

2.878

1.330 ~ 6.227

0.007*

Largest cyst size

2.525

1.019 ~ 6.261

0.042 *

0.413

0.088 ~ 1.929

0.261

Enhancing mural nodule

2.810

1.104 ~ 7.152

0.027 *

0.943

0.174 ~ 5.103

0.945

CA19–9 > 37kU/L

8.667

3.183 ~ 23.599

<  0.001 *

8.799

1.793 ~ 43.190

0.007*

CEA > 5 ng/mL

0.984

0.319 ~ 3.036

0.978

   
  1. MPD Main pancreatic duct, CEA Carcinoembryonic antigen, CI Confidence internal
  2. Significant parameters with P < 0.05 in the univariate analysis were included in the multivariate logistic regression analysis
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