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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