. 2021 Jan 11;12(1):182–189. doi: 10.1007/s13193-020-01274-5

Table 8.

Factors predicting the presence of malignancy in category 4 mammographic lesions (using multivariate and univariate logistic regression), n = 246

Factor(mammography)	Odds ratio	95% CI	P value
Breast density (density D = 1) • A • B • C • D	3.5 0.94 0.66 1	0.88–13.9 0.33–2.6 0.23–1.8 -	0.075 0.91 0.44 -
Shape • Round# • Oval • Irregular	- 0.2697 3.7074	- 0.14–0.51 1.96–7.02	- 0.0001 0.0001
Margin • Well-circumscribed • Microlobulated • Masked • Indistinct • Spiculated	0.2074 2.6591 0.5714 0.8117 12.2404	0.056–0.76 1.18–5.97 0.31–1.06 0.45–1.46 0.72–207	0.0172 0.0106 0.0773 0.4857 0.0826

Factor(mammography)

Odds ratio

95% CI

P value

Breast density (density D = 1)

• A

• B

• C

• D

3.5

0.94

0.66

0.88–13.9

0.33–2.6

0.23–1.8

0.075

0.91

0.44

Shape

• Round#

• Oval

• Irregular

0.2697

3.7074

0.14–0.51

1.96–7.02

0.0001

Margin

• Well-circumscribed

• Microlobulated

• Masked

• Indistinct

• Spiculated

0.2074

2.6591

0.5714

0.8117

12.2404

0.056–0.76

1.18–5.97

0.31–1.06

0.45–1.46

0.72–207

0.0172

0.0106

0.0773

0.4857

0.0826

^#round shape had zero observation