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Table 1 Comparison of Baseline Characteristics Between the Training and Validation Sets

From: Stacking classifiers based on integrated machine learning model: fusion of CT radiomics and clinical biomarkers to predict lymph node metastasis in locally advanced gastric cancer patients after neoadjuvant chemotherapy

Variables

Total (n = 277)

Training set (n = 193)

Validation Set (n = 84)

P value

Sex, n (%)

   

0.704

 Female

83 (30)

56 (29)

27 (32.1)

 

 Male

194 (70)

137 (71)

57 (67.9)

 

Age, Mean ± SD

56.4 ± 10.5

56.1 ± 10.7

57 ± 10

0.509

BMI, Median (Q1, Q3)

21 (19.6, 23.5)

21.1 (19.8, 23.7)

20.8 (19.4, 22.9)

0.319

WBC, Median (Q1, Q3)

6.2 (5, 7.7)

6.3 (5.2, 7.7)

6 (5, 7.7)

0.472

RBC, Median (Q1, Q3)

116 (93, 132)

117 (96, 133)

115 (91, 129.2)

0.337

PLT, Median (Q1, Q3)

280 (236, 351)

290 (237, 347)

270.5 (232, 381.2)

0.928

NEUT, Median (Q1, Q3)

3.7 (3, 4.9)

3.7 (3, 4.9)

3.6 (2.8, 4.7)

0.507

MONO, Median (Q1, Q3)

0.4 (0.3, 0.6)

0.5 (0.3, 0.6)

0.4 (0.3, 0.6)

0.638

LYMPH, Median (Q1, Q3)

1.7 (1.3, 2.1)

1.6 (1.3, 2)

1.7 (1.4, 2.1)

0.807

D-Dimer, Median (Q1, Q3)

0.4 (0.2, 0.9)

0.3 (0.1, 0.8)

0.4 (0.2, 1)

0.051

CEA, Median (Q1, Q3)

2.4 (1.5, 5.1)

2.3 (1.5, 4.7)

3 (1.6, 5.8)

0.102

CA199, Median (Q1, Q3)

10.3 (3.1, 31.3)

10.7 (3.2, 31.3)

8.9 (2.7, 29.5)

0.771

CA125, Median (Q1, Q3)

11.6 (8, 19.1)

11.6 (8, 20.1)

11.7 (7.6, 17.5)

0.681

AFP, Median (Q1, Q3)

2.6 (1.8, 3.9)

2.6 (1.8, 3.8)

2.5 (1.7, 4)

0.542

ALB, Median (Q1, Q3)

36.8 (34.4, 39.7)

36.8 (34.3, 39.5)

37.2 (34.6, 40.3)

0.346

Clinical T stage, n (%)

   

0.883

 T2-3

84 (30.3)

60 (31.1)

24 (28.6)

 

 T4a

162 (58.5)

111 (57.5)

51 (60.7)

 

 T4b

31 (11.2)

22 (11.4)

9 (10.7)

 

Clinical N stage, n (%)

   

0.681

 N0

37 (13.4)

27 (14)

10 (11.9)

 

 N1

70 (25.3)

52 (26.9)

18 (21.4)

 

 N2

101 (36.5)

67 (34.7)

34 (40.5)

 

 N3

69 (24.9)

47 (24.4)

22 (26.2)

 

Gross location, n (%)

   

0.698

 Upper portion

89 (32.1)

65 (33.7)

24 (28.6)

 

 Middle portion

77 (27.8)

52 (26.9)

25 (29.8)

 

 Lower portion

111 (40.1)

76 (39.4)

35 (41.7)

 

Anatomic location, n (%)

   

0.287

 Gastric antrum

110 (39.7)

76 (39.4)

34 (40.5)

 

 Gastric body

74 (26.7)

51 (26.4)

23 (27.4)

 

 Cardia

62 (22.4)

48 (24.9)

14 (16.7)

 

 Gastric fundus or angle

31 (11.2)

18 (9.3)

13 (15.5)

 

Lauren classification, n (%)

   

0.412

 Intestinal type

92 (33.2)

62 (32.1)

30 (35.7)

 

 Mixed type

49 (17.7)

38 (19.7)

11 (13.1)

 

 Diffuse type

136 (49.1)

93 (48.2)

43 (51.2)

 

Pathological grade, n (%)

   

0.212

 Othersa

106 (38.3)

79 (40.9)

27 (32.1)

 

 Poorly differentiated

171 (61.7)

114 (59.1)

57 (67.9)

 

nNAC, n (%)

   

0.417

 2

40 (14.4)

28 (14.5)

12 (14.3)

 

 3

53 (19.1)

33 (17.1)

20 (23.8)

 

 4

184 (66.4)

132 (68.4)

52 (61.9)

 

Immunotherapy, n (%)

   

0.824

 No

202 (72.9)

142 (73.6)

60 (71.4)

 

 Yes

75 (27.1)

51 (26.4)

24 (28.6)

 

Radscore, Median (Q1, Q3)

0 (-0.1, 0.1)

0 (-0.1, 0.1)

0 (-0.1, 0.1)

0.763

LN retrieval, n (%)

   

0.742

 LN (-)

141 (50.9)

100 (51.8)

41 (48.8)

 

 LN (+)

136 (49.1)

93 (48.2)

43 (51.2)

 
  1. BMI body mass index; WBC white blood cell count; HB hemoglobin; PLT platelet count; NEUT neutrophil count; MONO monocyte count; LYMPH lymphocyte count; ALB albumin; CEA carcinoembryonic antigen; AFP alpha-fetoprotein; nNAC number lines of neoadjuvant chemotherapy; LN lymph node
  2. Othersa , well differentiated, moderately differentiated, and moderately poorly differentiated