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EJNMMI Research

Table 6 Diagnostic performance

From: Imaging quality of an artificial intelligence denoising algorithm: validation in 68Ga PSMA-11 PET for patients with biochemical recurrence of prostate cancer

Series

Reader

Accuracy (CI 95%)

Adjusted p

Cohen’s Kappa

Sensitivity

Specificity

VP4

Referent

1

 

1

1

1

 

Senior

0.65 (0.48–0.79)

0.076

0.28

0.86

0.42

 

Junior

0.77 (0.64–0.87)

 < 0.001

0.55

0.97

0.59

SVP1

Referent

0.98 (0.9–1)

 < 0.001

0.96

0.97

1

 

Senior

0.70 (0.53–0.83)

0.019

0.39

0.86

0.53

 

Junior

0.91 (0.8–0.97)

 < 0.001

0.82

0.93

0.88

SVP2

Referent

0.98 (0.9–1)

 < 0.001

0.97

1

0.97

 

Senior

0.7 (0.53–0.83)

0.019

0.39

0.86

0.53

 

Junior

0.81 (0.68–0.9)

 < 0.001

0.62

0.86

0.78

SVP3

Referent

1 (0.94–1)

 < 0.001

1

1

1

 

Senior

0.68 (0.5–0.81)

0.04

0.34

0.81

0.53

 

Junior

0.77 (0.64–0.87)

 < 0.001

0.54

0.83

0.71

SVP4

Referent

1 (0.94–1)

 < 0.001

1

1

1

 

Senior

0.72 (0.56–0.85)

0.008

0.44

0.86

0.58

 

Junior

0.81 (0.68–0.9)

 < 0,001

0,62

0,9

0,72

QC4

Referent

1

 

1

1

1

 

Senior

0.75 (0.58–0.87)

0.007

0.48

0.86

0.61

 

Junior

0.91 (0.8–0.97)

 < 0.001

0.82

0.93

0.88

SQC1

Referent

0.98 (0.9–1)

 < 0.001

0.96

0.97

1

 

Senior

0.72 (0.56–0.85)

0.018

0.43

0.86

0.56

 

Junior

0.84 (0.71–0.92)

 < 0.001

0.67

0.9

0.77

SQC2

Referent

0.98 (0.9–1)

 < 0.001

0.96

0.97

1

 

Senior

0.75 (0.58–0.87)

0.007

0.48

0.86

0.61

 

Junior

0.89 (0.78–0.96)

 < 0.001

0.78

0.93

0.85

SQC3

Referent

0.98 (0.9–1)

 < 0.001

0.97

0.97

1

 

Senior

0.75 (0.58–0.87)

0.007

0.48

0.86

0.61

 

Junior

0.89 (0.77–0.96)

 < 0.001

0.78

0.93

0.85

SQC4

Referent

0.98 (0.91–1)

 < 0.001

0.97

0.97

1

 

Senior

0.75 (0.58–0.87)

0.007

0.48

0.86

0.61

 

Junior

0.88 (0.75–0.95)

 < 0.001

0.75

0.9

0.85

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