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Table 4 Analysis for parameters of resection grade

From: A new scoring system for predicting extent of resection in medial sphenoid wing meningiomas based on three-dimensional multimodality fusion imaging

Parameters

N (%)

P (univariate analysis)

P (logistic regression)

Adjusted OR (95% CI)

P (Spearman’s analysis)

Spearman’s correlation coefficient

Volume

 

0.014

0.889

1.068 (0.425–2.681)

0.003

0.434

 1

23 (50.0)

     

 2

14 (30.4)

     

 3

9 (19.6)

     

Arterial involvement

 

< 0.001

0.008

2.474 (1.271–4.817)

< 0.001

0.664

 0

7 (15.2)

     

 1

6 (13.0)

     

 2

8 (17.4)

     

 3

11 (23.9)

     

 4

14 (30.4)

     

CS involvement

 

< 0.001

0.006

13.095 (2.057–83.383)

< 0.001

0.711

 No

23 (50.0)

     

 Yes

23 (50.0)

     

Bone invasion

 

0.027

0.122

3.341 (0.724–15.422)

0.025

0.330

 No

36 (78.3)

     

 Yes

10 (21.7)

     

Score

 

< 0.001

  

< 0.001

0.772

 1

5 (10.9)

     

 2

6 (13.0)

     

 3

3 (6.5)

     

 4

6 (13.0)

     

 5

3 (6.5)

     

 6

3 (6.5)

     

 7

7 (15.2)

     

 8

6 (13.0)

     

 9

5 (10.9)

     

 10

2 (4.3)

     
  1. Kruskal-Wallis test for ordinal variables and Pearson’s chi-square test for nominal variables to compare between four different resection grade groups. Logistic regression analyses for multivariate analysis. The adjusted OR was obtained by logistic regression. The correlation between the variables and resection grade was detected by Spearman’s correlation analysis.
  2. OR odds ratios, CI confidence interval
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Chinese Neurosurgical Journal

ISSN: 2057-4967

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