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Table 2 Demographic data for patients with neuroendocrine neoplasms

From: A convolutional neural network for total tumor segmentation in [64Cu]Cu-DOTATATE PET/CT of patients with neuroendocrine neoplasms

Training and test datasets

Training

Test

Overall

(N = 117)

(N = 41)

(N = 158)

Mean age, year

62 (SD, 11)

65 (SD, 10)

63 (SD, 10)

Gender

 Male

63 (54)

24 (59)

87 (55)

 Female

54 (46)

17 (42)

71 (45)

Site of primary

 Small intestine

67 (57)

23 (56)

90 (57)

 Pancreas

23 (20)

9 (22)

32 (20)

 Lung

7 (6)

5 (12)

12 (8)

 Cecum

6 (5)

2 (5)

8 (5)

 Extrahepatic biliary tract

2 (2)

0 (0)

2 (1)

 Esophagus

1 (1)

0 (0)

1 (1)

 Gastric

1 (1)

0 (0)

1 (1)

 Unknown primary NEN

10 (9)

2 (5)

12 (8)

WHO*

 Grade 1

29 (25)

3 (7)

32 (20)

 Grade 2

75 (64)

32 (78)

107 (68)

 Grade 3

6 (5)

6 (15)

12 (8)

 Missing

7 (6)

0 (0)

7 (4)

Mean Ki67, %

8 (SD, 14)

11 (SD, 8)

9 (SD, 12)

Negative controls

Training

Test

Overall

(N = 0)

(N = 10)

(N = 10)

No disease

0 (0)

10 (100)

10 (100)

  1. *Denotes statistically significant difference in distribution of WHO grades between training and test data (p = 0.013). Data are number followed by percentage in parentheses, unless otherwise indicated. Percentage were rounded and may not add up to 100%