Table 3 Univariate and binary logistic regression analysis.

From: Bi-exponential diffusion-weighted imaging for differentiating high-grade gliomas from solitary brain metastases: a VOI-based histogram analysis

Univariate logistic regression

OR

(95% CI)

P

Binary logistic regression

OR

(95% CI)

P

ETA

 Dfast_skewness

0.22

(0.06,0.80)

0.022*

Dfast_skewness

0.25

(0.07,0.94)

0.040*

    

+clear_t2_margin

3.93

(1.21,12.72)

0.022*

 Dslow_entropy

26.20

(1.71,402.6)

0.019*

Dslow_entropy

21.77

(1.21,392.7)

0.037*

    

+clear_t2_margin

3.91

(1.20,12.75)

0.024*

 Dslow_kurtosis

0.71

(0.44,1.13)

0.146

    

 frac_mean

1.16

(1.03,1.31)

0.014*

frac_mean

1.15

(1.01,1.30)

0.032*

    

+clear_t2_margin

3.64

(1.11,11.87)

0.032*

frac_entropy

22.32

(2.92,170.7)

0.003*

frac_entropy

17.44

(2.14142.30)

0.008*

    

+clear_t2_margin

3.48

(1.02,11.85)

0.046*

 frac_skewness

0.24

(0.08,0.74)

0.013*

frac_skewness

0.21

(0.06,0.68)

0.009*

    

+clear_t2_margin

5.43

(1.55,18.97)

0.008*

 frac_kurtosis

0.84

(0.65,1.09)

0.190

    

PTEA

 frac_mean

1.17

(1.02,1.35)

0.025*

frac_mean

1.18

(1.01,1.37)

0.034*

    

+clear_t2_margin

4.34

(1.31,14.31)

0.016*

clear_t2_margin

4.30

(1.39,13.28)

0.011*

    
  1. HGG: high-grade glioma; SBM: solitary brain metastasis; ETA: enhanced tumor area; PTEA: peritumor edema area. OR: odds ratio; 95% CI: 93% confidence interval; * P < 0.05.
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