An investigation of tumor 1H nuclear magnetic resonance spectra by the application of chemometric techniques.

摘要: 1H nuclear magnetic resonance (NMR) spectra of tumors and normal tissue include signals from all hydrogen-containing metabolites can therefore be considered multicomponent multivariate mixtures. We have obtained perchloric acid extracts three tissues (liver, kidney, spleen) five rat (GH3 prolactinoma, Morris hepatomas 7777 9618a, LBDS1 fibrosarcoma, Walker 256 carcinosarcoma). applied several different chemometric methods to analyze the data. First, we used principal component analysis, cluster an optimized artificial neural network develop a classification rule training set samples known origin or class. The was then assessed using unknown samples. were able successfully determine class each sample. Second, techniques factor analysis followed by target testing investigate underlying biochemical differences that are detected between classes samples.© 1992 Academic Press,Inc.