Table 1 Patient characteristics of three sets

From: MRI transformer deep learning and radiomics for predicting IDH wild type TERT promoter mutant gliomas

Variables

Training set (n = 562)

P value

External test set 1 (n = 510)

P value

External test set 2 (n = 113)

P value

 

Non-IDH wt with TERTp-mut (n = 392)

IDH wt with TERTp-mut (n = 170)

 

Non-IDH wt with TERTp-mut (n = 478)

IDH wt with TERTp-mut (n = 32)

 

Non-IDH wt with TERTp-mut (n = 95)

IDH wt with TERTp-mut (n = 18)

 

Age(years)

47.10 ± 15.90

55.18 ± 11.88

<0.001*

43.21 ± 12.02

42.47 ± 11.42

0.650

43.95 ± 13.53

57.17 ± 7.42

<0.001*

Sex

  

0.926

  

1

  

1

Male

197(50.26%)

84(49.41%)

 

174(36.40%)

12(37.50%)

 

48(50.53%)

9(50.00%)

 

Female

195(49.74%)

86(50.59%)

 

304(63.60%)

20(62.50%)

 

47(49.47%)

9(50.00%)

 

WHO grades

  

<0.001*

  

0.004*

  

0.004*

2

137(34.95%)

26(15.29%)

 

294(61.51%)

15(46.88%)

 

48(50.53)

2(11.11)

 

3

134(34.18%)

33(19.41%)

 

130(27.20%)

7(21.88%)

 

47(49.47%)

16(88.89%)

 

4

121(30.87%)

115(67.65)

 

54(11.30%)

10(31.25%)

 

null

null

 
  1. P value <0.05 and “*” were considered as a significant difference.