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Table 1 The demographics of clinical factors for patients in the training and validation sets

From: Predicting microvascular invasion in hepatocellular carcinoma: a deep learning model validated across hospitals

 

Training Set (N = 216)

Validation Set (N = 93)

p-value

 

MVI+ (N = 68)

MVI- (N = 148)

MVI+ (N = 28)

MVI- (N = 65)

0.41

Median of age in years (Q.25-Q.75)

58 (53–68)

60 (50–68.3)

65 (58.3–72.5)

59 (54–67)

0.32

Gender

0.12

 Male

55 (80.9%)

103 (69.6%)

21 (75%)

53 (81.5%)

 

 Female

13 (19.1%)

45 (30.4%)

7 (25%)

12 (18.5%)

 

 Median of MTD in mm (Q.25-Q.75)

4.5 (3–7.4)

2.2 (1.5–3.4)

5.9 (3.9–6.9)

2.5 (2–4.2)

0.12

 Median of AFP in ng/ml (Q.25-Q.75)

33.5 (6.5–1294.9)

11.4 (3.7–209.6)

9.2 (3.8–328.1)

7 (3.13–71.85)

0.87

Child-Pugh score

0.12

 A

64 (94.1%)

139 (93.9%)

25 (89.3%)

59 (90.6%)

 

 B

4 (5.8%)

7 (4.7%)

2 (7.1%)

4 (6.2%)

 

 C

0 (0%)

2 (1.4%)

1 (3.6%)

2 (3.1%)

 

HBsAg

0.22

 Positive

37 (54.4%)

78 (52.7%)

11 (39.3%)

43 (66.2%)

 

 Negative

31 (45.6%)

70 (47.3%)

17 (60.7%)

22 (33.8%)

 

HCsAg

0.27

 Positive

23 (33.8%)

52 (35.1%)

11 (39.3%)

18 (27.7%)

 

 Negative

45 (66.2%)

96 (64.9%)

17 (60.7%)

47 (72.3%)

 
  1. Data are presented as n (%) unless otherwise noted. P-value were derived from statistical comparison between the training and validation sets using Mann–Whitney–Wilcoxon text,
  2. p-value > 0.05 indicates no significant difference exists between these two data sets. MVI+ microvascular invasion positive; MVI- microvascular invasion negative; MTD maximum tumor diameter; AFP alpha-fetoprotein; Q.25 25 % quantile; Q.75 75 % quantile; HBsAg Hepatitis B surface antigen; HCsAg Hepatitis C surface antigen