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Table 1 Clinical and pathological characteristics in the training and validation cohorts

From: Development and validation of a Radiopathomics model based on CT scans and whole slide images for discriminating between Stage I-II and Stage III gastric cancer

Characteristics

Training

Cohort

(n = 141)

Validation

Cohort

(n = 61)

P

Age, mean ± SD

55.1 ± 12.076

55.25 ± 10.779

0.935

Sex, n (%)

  

0.346

Male

84 (59.6)

41 (67.2)

 

Female

57 (40.4)

20 (32.8)

 

Location, n (%)

  

0.467

Antrum

88 (62.4)

37 (60.7)

 

Non-Antrum

53 (37.6)

24 (39.3)

 

Differentiation degree,

n (%)

  

0.87

Well differentiated

5(3.5)

2 (3.3)

 

Moderately differentiated

39 (27.7)

14 (23.0)

 

Poorly differentiated

96 (68.8)

45 (73.8)

 

Stage Groupings

for pTNM, n (%)

  

0.196

Stage I - II

71 (50.4)

26 (42.6)

 

Stage III

70 (49.6)

35 (57.4)

 

Dukes-MAC-like

staging system, n (%)

  

0.898

Stage A1 (T1N0)

21 (14.9)

6 (9.8)

 

Stage A2 (T1N1-3)

4 (2.8)

4 (6.6)

 

Stage B1 (T2N0)

8 (5.7)

4 (6.6)

 

Stage B2 (T2N1-3)

14 (9.9)

7 (11.5)

 

Stage C1 (T3N0)

7 (5.0)

0 (0.0)

 

Stage C2 (T3N1-3)

19 (13.5)

4 (6.6)

 

Stage D (T4N0-3)

68 (48.2)

36 (59.0)

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