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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