Additional file 3: Figure S1. of Rapid evaporative ionisation mass spectrometry of electrosurgical vapours for the identification of breast pathology: towards an intelligent knife for breast cancer surgery

Autor: John, Edward St, Balog, Julia, McKenzie, James, Rossi, Merja, Covington, April, Muirhead, Laura, Bodai, Zsolt, Rosini, Francesca, Speller, Abigail, Shousha, Sami, Rathi Ramakrishnan, Darzi, Ara, Zoltan Takats, Leff, Daniel
Rok vydání: 2017
DOI: 10.6084/m9.figshare.c.3786380_d3
Popis: Multivariate statistical analysis of the cut model. a Unsupervised principal component analysis (PCA) analysis of the spectral differences (600â 1000â m/z) between normal tissue compared to breast cancer using the cut electrosurgical modality. b Supervised linear discriminant analysis (LDA) plot comparing normal tissue to tumour using cut mode. c Confusion matrix demonstrating diagnostic accuracy of the cut model, following leave-one-patient-out cross-validation, with sensitivity (94.7%) and specificity (96.2%) (DOCX 367 kb).
Databáze: OpenAIRE