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Table 1 Histopathological findings in 1555 women with adnexal mass

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

 

Histologic Type

N

%

Benign

1196

76.91

 

Endometrioid Cystadenoma

420

27.01

 

Teratoma

221

14.21

 

Serous Cystadenoma

192

12.35

 

Mucinous Cystadenoma

78

5.02

 

Fibroma and Related Tumors

71

4.57

 

Simple Cyst

67

4.31

 

Mesosalpinx cyst

54

3.47

 

Salpingitis

47

3.02

 

Fibrothecoma

19

1.22

 

Paraovarian Cyst

5

0.32

 

Sertoli-Leydig Cell Tumor (High Grade)

5

0.32

 

Benign Brenner Tumor

4

0.26

 

Seromucinous Cystadenoma

4

0.26

 

Other ovarian benign lesion

9

0.58

Borderline ovarian tumor

53

3.41

 

Serous

28

1.80

 

Mucinous

21

1.35

 

Endometrioid

2

0.13

 

Brenner Tumor

2

0.13

Primary ovarian malignant

252

16.21

 

Serous Adenocarcinoma

167

10.74

 

Clear Cell Carcinoma

30

1.93

 

Endometrioid Adenocarcinoma

25

1.61

 

Mucinous Adenocarcinoma

9

0.58

 

Granulosa Cell Tumor

9

0.58

 

Carcinosarcoma

1

0.06

 

Sarcoma

3

0.19

 

Neuroendocrine Carcinoma

1

0.06

 

Sertoli-Leydig Cell Tumor (Low Grade)

1

0.06

 

Fibrosarcoma

1

0.06

 

Malignant Teratoma

3

0.19

 

Dysgerminoma

1

0.06

 

Yolk sac tumor

1

0.06

Ovarian metastasis

54

3.47