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Table 4 Univariate and multivariate logistic analysis of CT features for adenocarcinomas

From: A CT-based nomogram for predicting the risk of adenocarcinomas in patients with subsolid nodule according to the 2021 WHO classification

Characteristics

Univariate analysis

Multivariate analysis

OR (95%CI)

P value

OR (95%CI)

P value

Lesion Size (mm)

1.373 (1.061-1.777)

0.016

1.335 (1.178-1.512)

<0.001

Mean CT value (HU)

1.005 (1.001-1.010)

0.024

1.005 (1.002-1.008)

0.002

Volume (cm3)

1.487 (0.014-153.876)

0.867

  

Mass (g)

0.230 (0.000-16693.733)

0.230

  

Vascular change

5.125 (1.437-18.281)

0.012

5.771 (1.659-20.074)

0.006

Bronchiole change

2.153 (0.780-5.942)

0.139

  

Lobulation

6.196 (2.007-19.127)

0.002

6.528 (2.173-19.608)

0.001

Bubble

2.134 (0.931-4.891)

0.073

  

Pleural attachment

0.259 (0.034-1.960)

0.259

  

Spiculation

2.436 (1.055-5.625)

0.037

1.923 (0.856-4.320)

0.113

Lesion-lung interface

6.322 (0.817-48.942)

0.077

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