Table 2 Descriptive statistics for the GLASS cohort according to recurrence outcome and tumor grade

From: A deep learning model to predict glioma recurrence using integrated genomic and clinical data

 

Late glioma recurrence (TTR ≥ 390 days)

Early glioma recurrence (TTR < 390 days)

Tumor grade (n)

All (43)

II (6)

III (7)

IV (30)

All (58)

II (0)

III (2)

IV (56)

Sex [n]

Male

25

3

6

16

41

0

1

40

Female

18

3

1

14

17

0

1

16

Histology [n]a

Glioblastoma

28

0

0

28

55

0

0

55

Astrocytoma

10

4

4

2

1

0

0

1

Astrocytoma wildtype

3

0

3

0

2

0

2

0

Oligodendroglioma

2

2

0

0

0

0

0

0

IDH & 1p19q codeletion status [n]

IDH-wildtype

31

0

3

28

57

0

2

55

IDH-mutant, non-codeleted

10

4

4

2

1

0

0

1

IDH-mutant, codeleted

2

2

0

0

0

0

0

0

Vital status [n]

Deceased

38

4

6

28

53

0

1

52

Alive

5

2

1

2

5

0

1

4

Days to recurrence

Median

730.0

1414.5

1338.0

563.0

243.0

n/a

289.0

243.0

IQR

669.5

813.3

760.5

471.0

152.0

n/a

46.0

152.0

Age [yr]

Median

49.0

41.5

35.0

52.0

57.0

n/a

47.5

57.0

IQR

19.5

16.5

14.0

17.5

15.0

n/a

3.5

15.3

  1. aHistology represents the reassigned labels, as described in Methods and Fig. 2. Bracketed numbers next to tumor grade indicate the number of included patients.