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Table 4 Classification of segmented lesions

From: AI-based quantification of whole-body tumour burden on somatostatin receptor PET/CT

 

AI model versus Reader A

AI model versus Reader B

Reader B versus Reader A

True positive lesions

Total

214

210

246

Per patient (IQR)

2 (0.0–12.0)

1 (0.0–12.0)

2.5 (1.0–14.5)

False positive lesions

Total

45

41

25

Per patient (IQR)

1 (0.0–2.3)

1 (0.0–2.0)

0.0 (0.0–1.3)

False negative lesions

Total

53

59

21

Per patient (IQR)

1 (0.0–2.0)

1 (0.0–3.3)

0.0 (0.0–1.0)

Sensitivity (%)

80

79

92

PPV (%)

83

84

91

  1. Number of lesions which are true positive, false positive and false negative for the AI model versus Reader A, the AI model versus Reader B and Reader B versus Reader A. Values are total number of lesions, median number of lesions per patient, median volume (ml) and median TLSREwb with interquartile range (IQR). Sensitivity and positive predictive value (PPV) are also presented for each comparison