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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%)  
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