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Table 2 The lists of mean and max 18F-FDG-SUVs in segmented regions extracted with manual segmentation, RSIAT, and RATSI

From: Regional SUV quantification in hybrid PET/MR, a comparison of two atlas-based automatic brain segmentation methods

 

CAU_L

CAU_R

PUT_L

PUT_R

SUV_mean

1Manual segmentation

7.45 ± 1.39

7.42 ± 1.42

9.03 ± 1.69

9.08 ± 1.76

2Traditional

6.61 ± 1.38

6.72 ± 1.37

8.60 ± 1.63

8.44 ± 1.71

3RATSI

6.60 ± 1.37

6.84 ± 1.36

8.59 ± 1.72

8.48 ± 1.67

P (among groups)

0.090

0.233

0.642

0.419

P

1 vs 2

0.059

0.111

0.419

0.239

1 vs 3

0.055

0.187

0.415

0.272

2 vs 3

0.974

0.778

0.995

0.937

SUV_max

Manual segmentation

11.29 ± 2.04

11.73 ± 2.32

12.95 ± 2.47

12.90 ± 2.59

Traditional

11.29 ± 2.12

11.68 ± 2.38

12.92 ± 2.44

12.90 ± 2.63

RATSI

11.32 ± 1.93

11.74 ± 2.32

12.97 ± 2.47

12.78 ± 2.66

P

> 0.90