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. 2017 May 23;19:59. doi: 10.1186/s13058-017-0845-2

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© The Author(s). 2017

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 3 — Multivariate statistical analysis of the combined cut and coag model. a Unsupervised principal component (PC) analysis of the spectral differences (600–1000 m/z) between normal tissue compared to breast cancer in the cut and coag electrosurgical modalities. b Supervised linear discriminant analysis plot comparing normal tissue (N) to tumour/cancer (T) regardless of electrosurgical modality. c Flow diagram of sample selection for building of the rapid evaporative ionisation mass spectrometry (REIMS) database. d Confusion matrix demonstrating diagnostic accuracy of the combined electrosurgical model following leave-one-patient-out cross-validation (LV1), with sensitivity (93.4%) and specificity (94.9%)