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Table 1 Patient characteristics in training set and testing set

From: Enhancing pathological complete response prediction in breast cancer: the role of dynamic characterization of DCE-MRI and its association with tumor heterogeneity

  

Train

Test

P-value

Treatment

Paclitaxel

95

47

0.448

 

Paclitaxel + ABT 888 + Carboplatin

40

17

 
 

Paclitaxel + AMG 386

73

23

 
 

Paclitaxel + AMG 386 + Trastuzumab

12

4

 
 

Paclitaxel + Ganetespib

59

19

 
 

Paclitaxel + Ganitumab

69

20

 
 

Paclitaxel + MK-2206

32

14

 
 

Paclitaxel + MK-2206 + Trastuzumab

25

5

 
 

Paclitaxel + Neratinib

70

15

 
 

Paclitaxel + Pembrolizumab

44

10

 
 

Paclitaxel + Pertuzumab + Trastuzumab

23

10

 
 

Paclitaxel + Trastuzumab

16

4

 
 

T-DM1 + Pertuzumab

30

9

 

HR

negative

265

89

1

 

positive

323

108

 

HER2

negative

454

157

0.322

 

positive

144

40

 

MP

negative

304

102

1

 

positive

284

95

 

pCR

negative

398

133

1

 

positive

190

64

 

Age (mean, range)

49 (25–77)

50 (23–72)

0.238

Race

American Indian or Alaska Native

4

0

0.434

 

American Indian or Alaska Native; White

0

1

 
 

Asian

43

14

 
 

Asian; White

3

1

 
 

Black or African American

71

22

 
 

Native Hawaiian or Pacific Islander

4

0

 
 

Native Hawaiian or Pacific Islander; White

0

1

 
 

White

461

157

 
 

N/A

2

1

 

Menopausal status

N/A

103

43

0.362

 

Perimenopausal

21

7

 
 

Postmenopausal

177

64

 
 

Premenopausal

287

83

 

Ethnicity

Hispanic or Latino

76

28

0.723

 

Not Hispanic or Latino

511

169

 
 

N/A

1

0

Â