Show simple item record

dc.contributor.authorBaker, Matthew J
dc.contributor.authorGazi, Ehsan
dc.contributor.authorBrown, Michael D
dc.contributor.authorShanks, Jonathan H
dc.contributor.authorGardner, Peter
dc.contributor.authorClarke, Noel W
dc.date.accessioned2009-05-12T16:30:43Z
dc.date.available2009-05-12T16:30:43Z
dc.date.issued2008-12-02
dc.identifier.citationFTIR-based spectroscopic analysis in the identification of clinically aggressive prostate cancer. 2008, 99 (11):1859-66 Br. J. Canceren
dc.identifier.issn1532-1827
dc.identifier.pmid18985044
dc.identifier.doi10.1038/sj.bjc.6604753
dc.identifier.urihttp://hdl.handle.net/10541/67950
dc.description.abstractFourier transform infrared (FTIR) spectroscopy is a vibrational spectroscopic technique that uses infrared radiation to vibrate molecular bonds within the sample that absorbs it. As different samples contain different molecular bonds or different configurations of molecular bonds, FTIR allows us to obtain chemical information on molecules within the sample. Fourier transform infrared microspectroscopy in conjunction with a principal component-discriminant function analysis (PC-DFA) algorithm was applied to the grading of prostate cancer (CaP) tissue specimens. The PC-DFA algorithm is used alongside the established diagnostic measures of Gleason grading and the tumour/node/metastasis system. Principal component-discriminant function analysis improved the sensitivity and specificity of a three-band Gleason score criterion diagnosis previously reported by attaining an overall sensitivity of 92.3% and specificity of 99.4%. For the first time, we present the use of a two-band criterion showing an association of FTIR-based spectral characteristics with clinically aggressive behaviour in CaP manifest as local and/or distal spread. This paper shows the potential for the use of spectroscopic analysis for the evaluation of the biopotential of CaP in an accurate and reproducible manner.
dc.language.isoenen
dc.subjectCancer Stagingen
dc.subjectProstate Canceren
dc.subject.meshAlgorithms
dc.subject.meshHumans
dc.subject.meshMale
dc.subject.meshNeoplasm Staging
dc.subject.meshProstatic Neoplasms
dc.subject.meshSensitivity and Specificity
dc.subject.meshSpectroscopy, Fourier Transform Infrared
dc.titleFTIR-based spectroscopic analysis in the identification of clinically aggressive prostate cancer.en
dc.typeArticleen
dc.contributor.departmentManchester Interdisciplinary Biocentre, Centre for Instrumentation and Analytical Science, School of Chemical Engineering and Analytical Science, The University of Manchester, Manchester, M1 7DN, UK. M.J.Baker@manchester.ac.uken
dc.identifier.journalBritish Journal of Canceren
html.description.abstractFourier transform infrared (FTIR) spectroscopy is a vibrational spectroscopic technique that uses infrared radiation to vibrate molecular bonds within the sample that absorbs it. As different samples contain different molecular bonds or different configurations of molecular bonds, FTIR allows us to obtain chemical information on molecules within the sample. Fourier transform infrared microspectroscopy in conjunction with a principal component-discriminant function analysis (PC-DFA) algorithm was applied to the grading of prostate cancer (CaP) tissue specimens. The PC-DFA algorithm is used alongside the established diagnostic measures of Gleason grading and the tumour/node/metastasis system. Principal component-discriminant function analysis improved the sensitivity and specificity of a three-band Gleason score criterion diagnosis previously reported by attaining an overall sensitivity of 92.3% and specificity of 99.4%. For the first time, we present the use of a two-band criterion showing an association of FTIR-based spectral characteristics with clinically aggressive behaviour in CaP manifest as local and/or distal spread. This paper shows the potential for the use of spectroscopic analysis for the evaluation of the biopotential of CaP in an accurate and reproducible manner.


This item appears in the following Collection(s)

Show simple item record