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Table 1 Ex-vivo database model statistics and demographics

From: Rapid evaporative ionisation mass spectrometry of electrosurgical vapours for the identification of breast pathology: towards an intelligent knife for breast cancer surgery

 

Cut

Coag

Cut and coag combined

Total

Sampling points

634

524

1158

Samples

190

169

359

Patients

108

105

113

Normal (B1 and B2)

Sampling points

510

422

932

Samples

133

120

253

Patients

95

93

103

Tumour (B5a and B5b)

Sampling points

124

102

226

Samples

57

49

106

Patients

53

46

56

Tumour type

IDC

39

33

42

ILC

8

7

8

IMC

4

4

4

DCIS

2

2

2

Tumour receptor status

ER+/HER2–negative

42

37

45

ER+/HER2–positive

3

3

3

ER–/HER2–positive

3

2

3

Triple-negative

3

2

3

DCIS

2

2

2

Age (mean)

All

57.56

57.16

57.15

Normal

57.14

56.63

56.51

Tumour

60.94

62.13

60.73

Model statistics

Sensitivity

94.7%

93.9%

93.4%

Specificity

96.2%

95.0%

94.9%

Accuracy

95.8%

94.7%

94.4%

  1. Statistics and demographics displayed for three ex-vivo models (Cut, Coag and Combined). IDC invasive ductal carcinoma, ILC invasive lobular carcinoma, IMC invasive mucinous carcinoma, DCIS ductal carcinoma in situ, ER+ oestrogen receptor positive, ER– oestrogen receptor negative, HER2+ human epidermal growth factor receptor 2 positive, HER– human epidermal growth factor receptor 2 negative
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Breast Cancer Research

ISSN: 1465-542X

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