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Table 1 Demographic features of the study population

From: Liver imaging features by convolutional neural network to predict the metachronous liver metastasis in stage I-III colorectal cancer patients based on preoperative abdominal CT scan

 

Liver metastasis, no

(N = 1919, 95.04%)

Liver Metastasis, yes

(N = 100, 4.96%)

P value

Age (years)

62.3 ± 9.2

63.1 ± 9.5

0.390

Age > =65 years

  

0.640

 No

1092 (56.9%)

54 (54.0%)

 

 Yes

827 (43.1%)

46 (46.0%)

 

Sex

  

0.727

 Male

1204 (62.7%)

65 (65.0%)

 

 Female

715 (37.3%)

35 (35.0%)

 

BMI (kg/m2)

23.9 ± 3.0

23.8 ± 3.1

0.805

BMI (> = 25 kg/m2)

  

0.648

 No

1280 (66.7%)

64 (64.0%)

 

 Yes

638 (33.3%)

36 (36.0%)

 

Tumor location

  

0.127

 Right

501 (26.4%)

19 (19.0%)

 

 Left

1397 (73.6%)

81 (81.0%)

 

Heavy alcohol consumption

  

1

 No

1261 (65.7%)

66 (66.0%)

 

 Yes

658 (34.3%)

34 (34.0%)

 

 GOT

22.3 ± 9.0

21.8 ± 9.6

0.559

 GPT

20.3 ± 12.8

19.8 ± 16.0

0.737

Fatty liver

  

0.283

 No

1743 (95.0%)

96 (98.0%)

 

 Yes

91 (5.0%)

2 (2.0%)

 

T stage

  

< 0.001

 T1 stage

359 (18.7%)

4 (4.0%)

 

 T2 stage

352 (18.3%)

6 (6.0%)

 

 T3 stage

1106 (57.6%)

74 (74.0%)

 

 T4 stage

102 (5.3%)

16 (16.0%)

 

N stage

  

< 0.001

 N0

1293 (67.4%)

28 (28.0%)

 

 N1

463 (24.1%)

39 (39.0%)

 

 N2

163 (8.5%)

33 (33.0%)

 

Lymph node metastasis

  

< 0.001

 Absent

1293 (67.4%)

28 (28.0%)

 

 Present

626 (32.6%)

72 (72.0%)

 

Overall stage

  

< 0.001

 Stage 1

581 (30.3%)

6 (6.0%)

 

 Stage 2

658 (34.3%)

18 (18.0%)

 

 Stage 3

680 (35.4%)

76 (76.0%)

 

Angiolymphatic invasion

  

< 0.001

 Absent

1434 (77.0%)

57 (57.6%)

 

 Present

429 (23.0%)

42 (42.4%)

 

Venous invasion

  

< 0.001

 Absent

1729 (92.8%)

75 (75.8%)

 

 Present

134 (7.2%)

24 (24.2%)

 

 Postoperative follow up duration

1893.5 ± 767.7

1554.5 ± 784.9

< 0.001

5-year Mortality

   

 Alive

1919 (100.0%)

61 (61.0%)

< 0.001

 Dead

0 (0.0%)

39 (39.0%)