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Table 4 Univariate and multivariate logistic regression analysis

From: Multiparametric MRI radiomics for the differentiation of brain glial cell hyperplasia from low-grade glioma

Factors

Univariate

Multivariate

OR(95%CI)

P

OR(95%CI)

P

Gender

0.823(0.333–2.035)

0.673

 

Age

0.994(0.968–1.020)

0.642

Clinical symptoms

2.500(0.279–22.437)

0.413

Maximum tumor diameter

0.960(0.928–0.994)

0.020

1.009(0.965–1.054)

0.698

Tumor shape

0.693(0.285–1.684)

0.419

 

Mass effect

0.172(0.065–0.458)

< 0.001

0.243(0.068–0.865)

0.029

Hemorrhage

3.717(0.959–14.406)

0.057

  

Cystic degeneration

0.369(0.123–1.105)

0.075

0.917(0.276–3.044)

0.887

Necrosis

0.325(0.086–1.220)

0.096

Garland pattern enhancement

0.369(0.142–0.960)

0.041

Edema

0.798(0.326–1.952)

0.622

 

Rad-score

1.121(1.069–1.176)

< 0.001

1.111(1.054–1.172)

< 0.001

  1. Bold suggests statistical significance at the level of P < 0.05. OR, odds ratio