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Table 2 The distribution of clinical and radiologic characteristics in the training and test cohorts

From: Predicting preoperative muscle invasion status for bladder cancer using computed tomography-based radiomics nomogram

Characteristics

Training cohort (n = 137)

Test cohort (n = 59)

 

MIBC

NMIBC

p

MIBC

NMIBC

p

Age, mean ± SDa, years

68.735 ± 11.043

67.406 ± 11.363

0.489

68.034 ± 7.744

66.5 ± 9.497

0.500

Sex

  

0.604

  

0.937

    Male

57 (83.8%)

60 (87.0%)

 

21 (72.4%)

22 (73.3%)

 

    Female

11 (16.2%)

9 (13.0%)

 

8 (27.6%)

8 (26.7%)

 

Smoking

  

0.745

  

0.842

    Yes

51 (75%)

57 (82.6%)

 

15 (51.7%)

22 (73.3%)

 

    No

17 (25%)

12 (17.4%)

 

14 (48.3%)

8 (26.7%)

 

Clinical complaint

  

0.719

  

0.358

    Hematuria

43 (63.2%)

39 (56.5%)

 

17 (58.6%)

14 (46.7%)

 

    Hydronephrosis

1 (1.5%)

1 (1.4%)

 

0 (0%)

0 (0%)

 

    Incidental findings

24 (35.3%)

29 (42.0%)

 

12 (41.4%)

16 (53.3%)

 

Number of lesions

  

0.179

  

0.297

    Multiple

18 (26.5%)

27 (39.1%)

 

6 (20.7%)

7 (23.3%)

 

    Single

50 (73.5%)

42 (60.9%)

 

23 (79.3%)

23 (76.7%)

 

Histopathologic grade

  

0.000

  

0.001

    High grade

63 (92.6%)

29 (42.0%)

 

25 (86.2%)

13 (43.3%)

 

    Low grade

5 (7.4%)

40 (58.0%)

 

4 (13.8%)

17 (56.7%)

 

Calcification

  

0.633

  

0.365

    Yes

22 (32.4%)

25 (36.2%)

 

13 (44.8%)

10 (33.3%)

 

    No

46 (67.6%)

44 (63.8%)

 

16 (55.2%)

20 (66.7%)

 

Lesion length, mm

17.045 ± 9.516

15.425 ± 8.341

0.191

19.851 ± 10.925

17.670 ± 9.812

0.14

Tortuous blood vessels

  

0.000

  

0.000

    Yes

41 (60.3%)

17 (24.6%)

 

18 (62.1%)

5 (16.7%)

 

    No

27(39.7%)

52 (75.4%)

 

11 (37.9%)

25 (83.3%)

 
  1. a SD standard deviation