Evaluation of gas chromatography mass spectrometry and pattern recognition for the identification of bladder cancer from urine headspace

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dc.contributor.authorCauchi, Michael
dc.contributor.authorWeber, C. M.
dc.contributor.authorBolt, B. J.
dc.contributor.authorSpratt, P. B.
dc.contributor.authorBessant, C.
dc.contributor.authorTurner, D. C.
dc.contributor.authorWillis, C. M.
dc.contributor.authorBritton, L. E.
dc.contributor.authorTurner, Claire
dc.contributor.authorMorgan, G.
dc.date.accessioned2016-07-26T09:39:25Z
dc.date.available2016-07-26T09:39:25Z
dc.date.issued2016-05-03
dc.description.abstractPrevious studies have indicated that volatile organic compounds specific to bladder cancer may exist in urine headspace, raising the possibility that they may be of diagnostic value for this particular cancer. To further examine this hypothesis, urine samples were collected from patients diagnosed with either bladder cancer or a non‐cancerous urological disease/infection, and from healthy volunteers, from which the volatile metabolomes were analysed using gas chromatography mass spectrometry. The acquired data were subjected to a specifically designed pattern recognition algorithm, involving cross‐model validation. The best diagnostic performance, achieved with independent test data provided by healthy volunteers and bladder cancer patients, was 89% overall accuracy (90% sensitivity and 88% specificity). Permutation tests showed that these were statistically significant, providing further evidence of the potential for volatile biomarkers to form the basis of a non‐invasive diagnostic technique.en_UK
dc.identifier.citationCauchi M, Weber CM, Bolt BJ, et al., (2016) Evaluation of gas chromatography mass spectrometry and pattern recognition for the identification of bladder cancer from urine headspace. Analytical Methods, 2016, Volume 8, Issue 20, May 2016, pp. 4037-4046en_UK
dc.identifier.issn1759-9660
dc.identifier.urihttp://dx.doi.org/10.1039/C6AY00400H
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/10171
dc.language.isoenen_UK
dc.publisherRoyal Society of Chemistryen_UK
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleEvaluation of gas chromatography mass spectrometry and pattern recognition for the identification of bladder cancer from urine headspaceen_UK
dc.typeArticleen_UK

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