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Table 2 Demographic and Clinical Characteristics of patients with benign and malignant ovarian tumors (n = 1555)

From: Machine learning models in evaluating the malignancy risk of ovarian tumors: a comparative study

Characteristic

Benign (n = 1196)

Malignant (n = 359)

P value

Age (years)

41.0 (32.0–55.0)

54.0 (43.0–64.0)

< 0.001

Menopausal Status

Pre/Post (845/351)

Pre/Post (159/200)

< 0.001

CA125 (U/mL)

17.6 (10.1–40.0)

122.2 (23.4-791.5)

< 0.001

Maximum lesion

diameter (mm)*

55.0 (39.0–76.0)

74.0 (46.0-115.0)

< 0.001

Solid Component

   

No. of solid components

124 (10.4)

165 (46.0)

< 0.001

Maximum largest solid component diameter (mm)*

24.0 (12.0–39.0)

50.0 (33.0–78.0)

< 0.001

Color Doppler score

   

No flow, score 1

725 (60.6)

38 (10.6)

 

Minimal flow, score 2

322 (26.9)

60 (16.7)

 

Moderate flow, score 3

79 (6.6)

57 (15.9)

 

Very strong flow, score 4

70 (5.9)

204 (56.8)

 

External Contour

   

Regular

187 (59.7)

134 (41.9)

< 0.001

Irregular

126 (40.3)

186 (58.1)

< 0.001

Internal Wall

   

Smooth

546 (50.9)

17 (8.8)

< 0.001

Irregular

526 (49.1)

177 (91.2)

< 0.001

Ascites

12 (1.0)

96 (26.7)

< 0.001

Pelvic Nodules

16 (1.3)

78 (21.7)

< 0.001