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Table 2 Clinical characteristics of patients in the training and validation cohorts

From: MR-based radiomics-clinical nomogram in epithelial ovarian tumor prognosis prediction: tumor body texture analysis across various acquisition protocols

Characteristics

All cohort

(nĀ =ā€‰186)

P-value

Training cohort

(nĀ =ā€‰130)

P-value

Validation cohort

(nĀ =ā€‰56)

P-value

Uneventful

(nĀ =ā€‰124)

Relapse or dead

(nĀ =ā€‰62)

Uneventful

(nĀ =ā€‰87)

Relapse or dead

(nĀ =ā€‰43)

Uneventful

(nĀ =ā€‰37)

Relapse or dead

(nĀ =ā€‰19)

Age (meanā€‰Ā±ā€‰SD yrs)

44.5ā€‰Ā±ā€‰13.8

54.0ā€‰Ā±ā€‰9.2

<ā€‰ 0.001

44.3ā€‰Ā±ā€‰13.9

54.3ā€‰Ā±ā€‰9.0

<ā€‰ 0.001

45.0ā€‰Ā±ā€‰13.4

53.5ā€‰Ā±ā€‰9.8

0.019

CA125 (meanā€‰Ā±ā€‰SD Iu/L)

511ā€‰Ā±ā€‰884

647ā€‰Ā±ā€‰1195

0.472

549ā€‰Ā±ā€‰914

557ā€‰Ā±ā€‰914

0.384

415ā€‰Ā±ā€‰521

740ā€‰Ā±ā€‰1275

0.182

Ki67 expression% (meanā€‰Ā±ā€‰SD)

25.36ā€‰Ā±ā€‰23.23

33.31ā€‰Ā±ā€‰23.77

0.007

25.98ā€‰Ā±ā€‰24.40

32.77ā€‰Ā±ā€‰22.78

0.024

23.89ā€‰Ā±ā€‰20.16

34.53ā€‰Ā±ā€‰25.83

0.102

FIGO stage(%)

ā€ƒ1

65 (52)

20 (33)

Ā 

48 (55)

15 (35)

Ā 

17 (46)

5 (27)

Ā 

ā€ƒ2

9 (7)

7 (11)

Ā 

5 (6)

5 (12)

Ā 

4 (11)

2 (10)

Ā 

ā€ƒ3

48 (39)

28 (45)

0.005

33 (38)

19 (44)

0.029

15 (41)

9 (47)

0.223

ā€ƒ4

2 (2)

7 (11)

Ā 

1 (1)

4 (9)

Ā 

1 (2)

3 (16)

Ā