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Table 2 Logistic regression analysis of the risk factors for LNM

From: Preoperative CT-based deep learning radiomics model to predict lymph node metastasis and patient prognosis in bladder cancer: a two-center study

 

Univariate logistic analysis

Multivariate logistic analysis

OR (95%CI)

p

OR (95%CI)

p

Age

1.000 (0.965–1.037)

0.992

  

Gender

1.217 (0.479–3.095)

0.679

  

Location

1.037 (0.909–1.184)

0.588

  

Shape

1.104 (0.742–1.642)

0.625

  

Size

0.954 (0.807–1.128)

0.584

  

Calcification

0.777 (0.275–2.191)

0.633

  

Cystic necrosis

1.367 (0.559–3.342)

0.494

  

Tumor boundary

1.253 (0.606–2.589)

0.543

  

Number

0.597 (0.303–1.177)

0.137

  

Stalk

0.178 (0.041–0.776)

0.022

0.160 (0.032–0.802)

0.026

CT reported T stage

3.662 (1.721–7.794)

0.001

2.009 (0.833–4.848)

0.120

CT reported LN status

16.190 (6.001–43.683)

0

17.049 (5.986–48.558)

0

CT value in corticomedullary phase

0.990 (0.974–1.006)

0.203

  

CT value in nephrographic phase

0.999 (0.982–1.017)

0.935

  

CT value in excretory phase

1.000 (0.980–1.020)

0.995

  
  1. OR odds ratio, CI confidence interval