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Table 1 The clinical characteristics of the included patients in both the training and validation cohort

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

Characteristics

Training (nĀ =ā€‰130)

Validation (nĀ =ā€‰56)

P-value

Age, years (meanā€‰Ā±ā€‰SD)

47.6ā€‰Ā±ā€‰13.4

47.8ā€‰Ā±ā€‰12.9

0.904

CA125 (mean, range)

552 (5ā€“5000)

526 (10ā€“5000)

0.295

Ki67 (meanā€‰Ā±ā€‰SD)

28.22ā€‰Ā±ā€‰24.09

27.50ā€‰Ā±ā€‰22.80

0.467

FIGO (%)

ā€ƒ1

63 (48)

22 (39)

0.553

ā€ƒ2

10 (8)

6 (11)

ā€ƒ3

52 (40)

24 (43)

ā€ƒ4

5 (4)

4 (7)

  1. P-value of all characteristics are calculated by one of the independent-samples t-test, the Mannā€“Whitney U-test or the chi-squared test based on their distribution