Table 1 Accuracy of the network model in predicting the temporal sequence of metastases, by site of primary cancer, for nmets=2 and nmets=3

From: Cancer metastasis networks and the prediction of progression patterns

 

n mets =2

n mets =3

Primary site

N

p̄f (%)

p̄net (%)

p̄net/p̄f

N

p̄f (%)

p̄net (%)

p̄net/p̄f

Lip

28

12.7

15.5

1.228

5

10.6

0.2

0.014

Tongue

125

12.5

19.9

1.585

46

6.7

15.5

2.321

Salivary glands

103

12.0

18.9

1.579

34

12.7

29.6

2.324

Gum

32

27.2

19.9

0.731

13

14.2

12.9

0.909

Floor of mouth

56

19.4

31.5

1.620

13

20.6

34.9

1.694

Mouth, other

94

17.5

28.2

1.614

26

10.6

9.1

0.862

Oropharynx

68

12 .3

17.7

1.445

19

7.5

16.9

2.257

Nasopharynx

40

12.5

17.0

1.356

18

14.8

32.6

2.204

Hypopharynx

104

10.8

31.0

2.858

27

11.6

27.9

2.411

Oesophagus

503

11.2

13.4

1.197

174

11.0

16.2

1.478

Stomach

1514

13.9

23.8

1.713

530

12.3

18.4

1.500

Small intestine

375

17.5

14.7

0.838

132

14.8

17.8

1.207

Colon

7681

17.1

39.0

2.282

2870

15.1

24.7

1.632

Rectum and anus

2734

15.5

19.1

1.232

963

13.8

24.4

1.764

Liver

185

19.2

18.9

0.983

57

15.5

23.7

1.531

Gallbladder

439

23.4

29.1

1.241

172

18.5

34.7

1.876

Pancreas

1438

23.7

21.5

0.907

410

16.7

20.0

1.197

Peritoneum

155

14.5

14.8

1.024

100

11.4

22.3

1.956

Nasal cavities

61

16.3

14.9

0.916

32

17.5

27.3

1.561

Larynx

241

11.4

21.5

1.878

79

8.5

16.9

1.992

Lung and bronchus

9653

14.3

13.4

0.937

3546

14.5

18.9

1.303

Pleura

67

19.7

19.5

0.989

23

14.1

22.9

1.624

Thymus, heart, and mediastinum

78

10.8

6.6

0.607

21

9.7

8.0

0.817

Bone

107

26.0

29.3

1.126

29

30.4

29.1

0.959

Connective tissue

183

13.5

20.1

1.481

63

9.9

11.1

1.124

Skin, melanoma

247

10.0

21.2

2.132

119

8.7

21.7

2.501

Skin, other

343

11.8

12.1

1.027

114

12.1

20.6

1.695

Breast, female

3129

17.8

20.4

1.148

1463

19.2

25.5

1.333

Breast, male

47

13.1

25.5

1.952

19

14.8

34.1

2.294

Cervix

310

12.0

15.6

1.300

144

11.1

18.2

1.638

Uterus

979

13.2

24.5

1.858

491

12.8

17.1

1.343

Ovary

2138

21.3

20.3

0.950

1355

18.1

22.1

1.221

Genital, female other

198

9.7

13.7

1.421

78

8.4

16.0

1.911

Prostate

5315

34.8

22.4

0.644

1321

34.5

29.4

0.851

Testis

10

13.4

19.2

1.430

6

12.8

47.2

3.683

Genital, male other

34

10.9

12.7

1.168

6

6.7

20.1

3.017

Bladder

1329

10.5

11.7

1.119

531

11.0

13.6

1.232

Kidney

1220

13.6

18.2

1.344

488

13.2

21.1

1.599

Eye

36

17.9

10.7

0.597

7

17.7

8.9

0.504

Brain

77

36.7

30.6

0.834

25

23.2

24.7

1.062

Nervous system, other

26

24.6

14.6

0.596

10

17.4

10.8

0.618

Thyroid

257

12.7

23.7

1.857

65

12.6

21.2

1.678

Other endocrine

32

11.9

7.0

0.589

9

13.9

34.7

2.485

  1. p̄f is the mean accuracy for the fractional method, p̄net is the mean accuracy for the network model, and p̄net/p̄f is their ratio. N is the number of patients in each case.
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