Table 1 Clinical characteristics of patients across the groups.

From: Deep learning on T2WI to predict the muscle-invasive bladder cancer: a multi-center clinical study

Characteristics

Training set (n = 291)

Validation set (n = 66)

Internal test set (n = 164)

External test set (n = 38)

P-value

Age

66 ± 12

67 ± 13

67 ± 11

69 ± 10

0.377

Gender, NO. (%)

 Male

254 (87.3)

60 (90.9)

139 (84.8)

32 (84.2)

0.605

 Female

37 (12.7)

6 (9.1)

25 (15.2)

6 (15.8)

 

Muscle-invasive states

 NMIBC

203 (69.8)

47 (71.2)

111 (67.7)

31 (81.6)

0.407

 MIBC

88 (30.2)

19 (28.8)

53 (32.3)

7 (18.4)

Pathological T staging (%)

 Ta

125 (42.9)

28 (42.4)

70 (42.7)

21 (55.3)

0.429

 T1

78 (26.8)

19 (28.8)

44 (26.8)

11 (28.9)

 T2

44 (15.1)

6 (9.1)

21 (12.8)

1 (2.6)

 T3

35 (12.0)

7 (10.6)

18 (11.0)

3 (7.9)

 T4

9 (3.1)

6 (9.1)

11 (6.7)

2 (5.3)

Pathological garding (%)

 High

179 (61.5)

41 (62.1)

122 (74.4)

19 (50.0)

0.008

 Low

112 (38.5)

25 (37.9)

42 (25.6)

19 (50.0)

Diameter of lesion (%)

  ≥ 3 cm

88 (69.8)

21 (68.2)

107 (65.2)

26 (68.4)

0.804

  < 3 cm

203 (30.2)

45 (31.8)

57 (34.8)

12 (31.6)

No. of lesions (%)

 Single

210 (72.2)

46 (69.7)

113 (68.9)

31 (81.6)

0.456

 Multiple

81 (27.7)

20 (30.3)

51 (31.1)

7 (18.4)

Surgery modalities (%)

 TURBT

170 (58.4)

34 (51.5)

96 (58.5)

30 (78.9)

0.05

 RC

121 (41.6)

32 (48.5)

68 (41.5)

8 (21.1)

  1. TURBT transurethral resection of bladder tumor, RC radical cystectomy.