Skip to main content

Table 2 The χ2 Test and Multivariate Logistic Regression Results for Predicting the Malignant Likelihood of Microcalcifications Detected by MG

From: Does establishing a preoperative nomogram including ultrasonographic findings help predict the likelihood of malignancy in patients with microcalcifications?

Variables

Cancer (n=324)

Benign (n=151)

χ2 test

Multivariate analysis

P Value

P Value

OR (95%CI)

Age (y)

  

0.005

  

 <40

80 (24.7)

43 (28.5)

  

Reference

 40-55

189 (58.3)

99 (65.5)

 

0.026

2.12 (1.10,4.09)

 >55

55 (17.0)

9 (6.0)

 

0.004

5.17 (1.71, 15.61)

Clinical manifestation

  

<0.001

  

 Mass/nipple discharge

285 (88.0)

36 (23.8)

  

Reference

 Asymptomatic

39 (12.0)

115 (76.2)

 

<0.001

0.11 (0.05, 0.21)

Breast composition

  

0.237

  

 a + b

19 (5.9)

5 (3.3)

   

 c + d

305 (94.1)

146 (96.7)

   

Morphology

  

<0.001

  

 Amorphous/coarse heterogeneous

112 (34.6)

101 (66.9)

  

Reference

 Fine pleomorphic/fine linear and fine-linearbranching

212 (65.4)

50 (33.1)

 

<0.001

3.67 (2.05, 6.59)

Distribution

  

<0.001

  

 Regional/grouped

244 (75.3)

138 (91.4)

  

Reference

 Segmental/linear

80 (24.7)

13 (8.6)

 

0.002

4.51 (1.77, 11.50)

Microcalcifications on USa

  

<0.001

  

 Yes

301 (92.9)

85 (56.3)

  

Reference

 No

23 (7.1)

66 (43.7)

 

0.766

1.15 (0.46, 2.89)

Lesions on US b

  

<0.001

  

 Mass

300 (92.6)

51 (33.8)

  

Reference

 Cyst/normal

24 (7.4)

100 (66.2)

 

<0.001

0.12 (0.05, 0.30)

  1. Note: Data are numbers of patients, with percentages in parentheses
  2. OR odds ratio
  3. a whether microcalcifications were visible on US
  4. b lesions associated with microcalcifications on US