Table 2 Descriptive statistics for prognostic biomarkers and molecular subtypes.

From: Machine Learning Approaches to Radiogenomics of Breast Cancer using Low-Dose Perfusion Computed Tomography: Predicting Prognostic Biomarkers and Molecular Subtypes

Dependent variable

Count

Percentage (%)

Lymph node

  Negative

414

57

  Positive

309

43

Tumor grade

  Low

459

63

  High

264

37

Tumor size

  ≤20

360

50

  >20

363

50

ER

  Negative

237

33

  Positive

486

67

PR

  Negative

270

37

  Positive

453

63

HER2

  Negative

570

79

  Positive

153

21

Ki67

  Negative

339

47

  Positive

384

53

Molecular subtype

  Luminal A

294

41

  Luminal B

207

29

  HER2 overexpression

126

17

  Triple negative

96

13

  1. ER estrogen receptor, PR progesterone receptor, HER2 human epidermal growth factor receptor 2.
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