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Table 5 Image quality assessment, lesion detectability, and SUV values for three different PET scanner models

From: Artificial intelligence for reduced dose 18F-FDG PET examinations: a real-world deployment through a standardized framework and business case assessment

Comparison between three different PET scanner models

PET scanner

Dataset

Dataset identification

Image quality

(1 to 5)

Number of lesions

SUVmax of target lesion

SUVmean of the liver

   

Mean ± SD

Mean ± SD

Mean ± SD

Mean ± SD

1 (n=20)

PET-native

96.2%

4.55 ± 0.61

1.91 ± 3.07

15.80 ± 11.64

1.87 ± 0.84

PET-processed

97.5%

4.57 ± 0.76

1.91 ± 3.07

13.84 ± 9.89

1.99 ± 0.86

2 (n=21)

PET-native

98.8%

4.54 ± 0.59

3.58 ± 3.48

13.21 ± 10.8

1.81 ± 0.37

PET-processed

100%

4.70 ± 0.51

3.55 ± 3.50

11.35 ± 9.96

2.00 ± 0.46

3 (n=20)

PET-native

96.2%

4.53 ± 0.62

3.53 ± 3.63

7.07 ± 4.63

2.19 ± 0.77

PET-processed

96.2%

4.60 ± 0.74

3.52 ± 3.65

6.05 ± 4.39

2.36 ± 0.81

  1. PET scanner 1= Discovery ST-4; PET scanner 2= Discovery ST-16; PET scanner 3= Discovery IQ