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dc.contributor.authorAshok, P.C.
dc.contributor.authorPraveen, B.B.
dc.contributor.authorBellini, N.
dc.contributor.authorRiches, A.
dc.contributor.authorDholakia, K.
dc.contributor.authorHerrington, C.S.
dc.contributor.editorMahadevan-Jansen, Anita
dc.contributor.editorPetrich, Wolfgang
dc.identifier.citationAshok , P C , Praveen , B B , Bellini , N , Riches , A , Dholakia , K & Herrington , C S 2014 , Combined information from Raman spectroscopy and optical coherence tomography for enhanced diagnostic accuracy in tissue discrimination . in A Mahadevan-Jansen & W Petrich (eds) , Biomedical Vibrational Spectroscopy VI : Advances in Research and Industry . vol. 8939 , Proceedings of SPIE , vol. 8839 , SPIE .
dc.identifier.otherPURE: 145284817
dc.identifier.otherPURE UUID: bb6515fa-a7cd-4119-be60-2a609f69d947
dc.identifier.otherScopus: 84897389974
dc.identifier.otherWOS: 000334098200012
dc.descriptionWe thank the UK EPSRC for funding, the CR-UK/EPSRC/MRC/DoH (England) imaging programme, the European Union project FAMOS (FP7 ICT, contract no. 317744) and the European Union project IIIOS (FP7/2007-2013, contract no. 238802). We thank Tayside Tissue Bank for providing us with the tissue samples under request number TR000289. K.D. is a Royal Society-Wolfson Merit Award Holder.en
dc.description.abstractOptical spectroscopy and imaging methods have proved to have potential to discriminate between normal and abnormal tissue types through minimally invasive procedures. Raman spectroscopy and Optical Coherence Tomography (OCT) provides chemical and morphological information of tissues respectively, which are complementary to each other. When used individually they might not be able to obtain high enough sensitivity and specificity that is clinically relevant. In this study we combined Raman spectroscopy information with information obtained from OCT to enhance the sensitivity and specificity in discriminating between Colonic Adenocarcinoma from Normal Colon. OCT being an imaging technique, the information from this technique is conventionally analyzed qualitatively. To combine with Raman spectroscopy information, it was essential to quantify the morphological information obtained from OCT. Texture analysis was used to extract information from OCT images, which in-turn was combined with the information obtained from Raman spectroscopy. The sensitivity and specificity of the classifier was estimated using leave one out cross validation (LOOCV) method where support vector machine (SVM) was used for binary classification of the tissues. The sensitivity obtained using Raman spectroscopy and OCT individually was 89% and 78% respectively and the specificity was 77% and 74% respectively. Combining the information derived using the two techniques increased both sensitivity and specificity to 94% demonstrating that combining complementary optical information enhances diagnostic accuracy. These results demonstrate that a multimodal approach using Raman-OCT would be able to enhance the diagnostic accuracy for identifying normal and cancerous tissue types.
dc.relation.ispartofBiomedical Vibrational Spectroscopy VIen
dc.relation.ispartofseriesProceedings of SPIEen
dc.rightsCopyright 2014 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.en
dc.subjectQC Physicsen
dc.subjectR Medicine (General)en
dc.subjectSDG 3 - Good Health and Well-beingen
dc.titleCombined information from Raman spectroscopy and optical coherence tomography for enhanced diagnostic accuracy in tissue discriminationen
dc.typeConference itemen
dc.contributor.sponsorEuropean Commissionen
dc.contributor.sponsorEuropean Commissionen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Physics and Astronomyen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. Biomedical Sciences Research Complexen

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