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Table 1 Baseline characteristics of patients

From: 18F-FDG PET/CT-based deep learning radiomics predicts 5-years disease-free survival after failure to achieve pathologic complete response to neoadjuvant chemotherapy in breast cancer

Baseline characteristics of the study population population (n = 105)

N (%)

Age, years

Mean

47

SUVmean

3.92 ± 2.05

SUVmax

6.25 ± 3.73

SUVmin

1.63 ± 0.69

ER status

Positive

83 (79.05%)

Negative

22 (20.95%)

PR status

Positive

88 (83.8%)

Negative

17 (16.2%)

Ki67

Positive

83 (79.05%)

Negative

22 (20.95%)

Molecular subtype

HR-positive/HER2-negative

66 (62.29%)

HER2-positive

31 (29.52%)

TNBC

8 (8.19%)

Menopausal status

Premenopausal

37 (35.24%)

Postmenopausal

68 (64.76%)

Prechemotherapy T stage

T1

12 (11.43%)

T2

56 (53.33%)

T3

19 (18.1%)

T4

18 (17.14%)

Prechemotherapy N stage

N0

21 (20%)

N1

36 (34.29%)

N2

35 (33.33%)

N3

13 (12.38%)

Prechemotherapy stage

II

47 (44.76%)

III

58 (55.24%)

Event

Yes

22 (20.95%)

No

83 (79.05%)

RCB

I

15 (14.29%)

II

48 (45.71%)

III

42 (40%)

  1. ER estrogen receptor; PR progesterone receptor; HER2 human epidermal growth factor 2; HR hormone receptor positive; TNBC triple-negative breast cancer; RCB residual cancer burden