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Table 3 Data shown as in Table 2, separated according to molecular genetic grading

From: Voxel-wise analysis of dynamic 18F-FET PET: a novel approach for non-invasive glioma characterisation

Tumour VOI, post-filtering

Parameter

IDH-mut non-codel (45)

IDH-mut codel (39)

IDH-wt (78)

H-test P; r

Post hoc

90% isocontour

TTP

25 ± 8

23 ± 9

16 ± 8

< 0.001; 0.45

∆x

Slope15–40

− 0.2 ± 1.5

− 0.2 ± 1.0

− 1.1 ± 1.3

< 0.001; 0.44

∆x

TBR20–40 > 1.6

TBR5–15,max

3.3 ± 1.5

3.5 ± 1.7

4.2 ± 1.3

< 0.001; 0.37

∆x

TBR5–15,mean

2.0 ± 0.5

2.0 ± 0.5

2.4 ± 0.4

< 0,001; 0.45

∆x

TBR20–40,max

3.2 ± 1.2

3.2 ± 1.4

3.5 ± 1.1

0.060; 0.19

 

TBR20–40,mean

2.0 ± 0.3

2.1 ± 0.4

2.1 ± 0.3

0.074; 0.18

 

BTV20–40

21 ± 22

28 ± 32

26 ± 24

0.347; 0.11

 

PVHTBR,5–15 > 2

32 ± 27

32 ± 26

62 ± 23

< 0.001; 0.52

∆x

PVHTBR,20–40 > 2

33 ± 23

33 ± 25

41 ± 22

0.071; 0.18

 

PVHTTP > 30

47 ± 21

50 ± 18

23 ± 20

< 0.001; 0.57

∆x

PVHTTP < 15

12 ± 13

10 ± 9

34 ± 22

< 0.001; 0.56

∆x

PVHTTP < 20

26 ± 20

24 ± 14

56 ± 25

< 0.001; 0.58

∆x

PVHSlope < 0

27 ± 20

25 ± 14

55 ± 23

< 0.001; 0.58

∆x

TBR20–40 > 1.6, 10 mm Gauss

PVHGaussTTP > 30

62 ± 30

67 ± 24

29 ± 28

< 0.001; 0.55

∆x

PVHGauss TTP < 20

17 ± 22

12 ± 13

50 ± 31

< 0.001; 0.56

∆x

PVHGauss,Slope < 0

21 ± 26

15 ± 16

56 ± 32

< 0.001; 0.57

∆x

  1. Post hoc P < 0.05: +IDH-mut non-codel vs. IDH-mut codel, IDH-mut non-codel vs. IDH-wt, xIDH-mut codel vs. IDH-wt