Table 2 Clinical characteristics of patients with HGSOC by high and low radiomic score group from TCIA-TCGA data.

From: A multimodal radiomic machine learning approach to predict the LCK expression and clinical prognosis in high-grade serous ovarian cancer

Characteristic

Total (N = 89)

No. (%)

High (N = 51)

No. (%)

Low (N = 38)

No. (%)

p

Age

0.141

 < 59

42 (47.2)

28 (54.9)

14 (36.8)

 

 ≥ 60

47 (52.8)

23 (45.1)

24 (63.2)

Radiotherapy

1

 No

86 (96.6)

49 (96.1)

37 (97.4)

 

 Yes

3 (3.4)

2 (3.9)

1 (2.6)

Chemotherapy

0.133

 No

4 (4.5)

4 (7.8)

0 (0)

 

 Yes

85 (95.5)

47 (92.2)

38 (100)

Lymphatic invasion

0.411

 No/unknown

66 (74.2)

40 (78.4)

26 (68.4)

 

 Yes

23 (25.8)

11 (21.6)

12 (31.6)

Venous invasion

0.853

 No/unknown

73 (82)

41 (80.4)

32 (84.2)

 

 Yes

16 (18)

10 (19.6)

6 (15.8)

FIGO stage

0.296

 II/III

47 (52.8)

24 (47.1)

23 (60.5)

 

 IV/unknown

42 (47.2)

27 (52.9)

15 (39.5)

Tumor residual disease

0.063

 No/unknown

32 (36)

23 (45.1)

9 (23.7)

 

 Yes

57 (64)

28 (54.9)

29 (76.3)

Histologic grade

0.488

 G1/G2

9 (10.1)

4 (7.8)

5 (13.2)

 

 G3/GX

80 (89.9)

47 (92.2)

33 (86.8)