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Table 7 Multiple logistic regression analysis predicting pathogenic mutation on breast cancers

From: MR imaging phenotypes and features associated with pathogenic mutation to predict recurrence or metastasis in breast cancer

Variable

Odds ratio

95%CI

P value

Age

  < 40 years

Reference

NA

0.418

  ≥ 40 years

0.914

0.736–1.134

Recurrence or Metastasis

 No

Reference

NA

0.039

 Yes

1.402

1.024–1.916

Biologic feature

 unfavorable

Reference

NA

0.000

 Intermediate/ favorable

0.409

0.259–0.647

Nuclear grade

 Low/Intermediate

Reference

NA

0.045

 high

0.736

0.551–0.986

ER

 ER + 

Reference

NA

0.416

 ER-

1.368

0.646–2.896

PR

 PR + 

Reference

NA

0.304

 PR-

1.399

0.742–2.642

Molecular substype

 Non-Triple negative

Reference

NA

0.634

 Triple negative

1.099

0.721–1.676

Breast density

 Non-dense

Reference

NA

0.005

 Dense

1.315

1.093–1.582

MRI Lesion type

 Nonmass

Reference

NA

0.000

 Mass

2.705

1.739–4.207

Internal enhancement pattern

 Other enhancement types

Reference

NA

0.004

 Rim mass-enhancement

1.404

1.121–1.758

Spiculated margin

 Yes

Reference

NA

0.049

 No

0.803

0.649–0.994

Central necrosis

 No

Reference

NA

0.388

 Yes

0.875

0.649–1.181