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Table 2 Multivariate logistic regression analysis of the radiomics score and clinical candidate predictors in the training set

From: Development of a radiomics model to diagnose pheochromocytoma preoperatively: a multicenter study with prospective validation

Variables and intercept

Univariate model

Radiomic-clinical multivariate model

Clinical multivariate model

β

OR (95% CI)

P

β

OR (95% CI)

P

β

OR (95% CI)

P

The radiomics score

(per 0.1 increase)

0.207

1.230 (1.152 to 1.336)

< 0.001*

0.204

1.226 (1.146 to 1.332)

< 0.001*

–

–

–

Sex (male vs. female)

0.423

1.526 (0.314 to 7.982)

0.283

–

–

–

–

  

Age, years (continuous)

0.004

1.004 (0.978 to 1.032)

0.759

–

–

–

–

–

–

Symptom number

0.824

2.279 (1.487 to 3.594)

< 0.001*

0.602

1.826 (1.013 to 3.280)

0.042*

0.852

2.344 (1.511 to 3.731)

< 0.001*

Hypertension (no vs. yes)

0.201

1.222 (0.585 to 2.574)

0.593

–

–

–

–

–

–

Smoker (no vs. yes)

− 0.597

0.550 (0.124 to 1.742)

0.359

–

–

–

–

–

–

Tumor location (left vs. right)

0.692

1.998 (0.951 to 4.317)

0.071

–

–

–

–

–

–

MRI-determined tumor size, cm (continuous)

0.173

1.189 (1.056 to 1.346)

0.005*

–

–

–

0.182

1.200 (1.060 to 1.365)

0.004*

Hyperintense on a T2 weighted MRI (no vs. yes)

2.014

7.495 (2.139 to 47.541)

0.007*

–

–

–

–

–

–

Intercept

–

–

–

0.781

  

− 2.586

–

–

  1. CI: confidence interval; MRI: magnetic resonance imaging; OR: odds ratio
  2. *P < 0.05