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Table 1 Clinicopathologic characteristics of the patients in the training set and validation sets

From: An artificial intelligence model for the pathological diagnosis of invasion depth and histologic grade in bladder cancer

 

Training set

(n = 313)

Validation set 1 (n = 95)

Validation set 2 (n = 201)

Validation set 3 (n = 83)

Age, Median (IQR), y

63 (56–72)

63 (55–72)

64 (57–71)

63 (56–70)

Sex

    

 Male

261 (83.4%)

78 (82.1%)

167 (83.1%)

70 (84.3%)

 Female

52 (16.6%)

17 (17.9%)

34 (16.9%)

13 (15.7%)

T stage

    

 Ta

19 (6.1%)

3 (3.2%)

13 (6.5%)

10 (12.0%)

 T1

207 (66.1%)

60 (63.2%)

148 (73.6%)

52 (62.7%)

 T2-*

87 (27.8%)

32 (33.7%)

40 (19.9%)

21 (25.3%)

Grade

    

 Low grade

90 (28.8%)

28 (29.5%)

96 (47.8%)

35 (42.2%)

 High grade

223 (71.2%)

67 (70.5%)

105 (52.2%)

48 (57.8%)

  1. IOR  interquartile range. *T2- refer to at least T2