Multi-centre Raman spectral mapping of oesophageal cancer tissues: a study to assess system transferability.

2.50
Hdl Handle:
http://hdl.handle.net/11287/620305
Title:
Multi-centre Raman spectral mapping of oesophageal cancer tissues: a study to assess system transferability.
Authors:
Isabelle, M; Dorney, J; Lewis, A; Lloyd, G R; Old, O; Shepherd, N; Rodriguez-Justo, M; Barr, H; Lau, K; Bell, I; Ohrel, S; Thomas, G; Stone, Nick; Kendall, C
Abstract:
The potential for Raman spectroscopy to provide early and improved diagnosis on a wide range of tissue and biopsy samples in situ is well documented. The standard histopathology diagnostic methods of reviewing H&E and/or immunohistochemical (IHC) stained tissue sections provides valuable clinical information, but requires both logistics (review, analysis and interpretation by an expert) and costly processing and reagents. Vibrational spectroscopy offers a complimentary diagnostic tool providing specific and multiplexed information relating to molecular structure and composition, but is not yet used to a significant extent in a clinical setting. One of the challenges for clinical implementation is that each Raman spectrometer system will have different characteristics and therefore spectra are not readily compatible between systems. This is essential for clinical implementation where classification models are used to compare measured biochemical or tissue spectra against a library training dataset. In this study, we demonstrate the development and validation of a classification model to discriminate between adenocarcinoma (AC) and non-cancerous intraepithelial metaplasia (IM) oesophageal tissue samples, measured on three different Raman instruments across three different locations. Spectra were corrected using system transfer spectral correction algorithms including wavenumber shift (offset) correction, instrument response correction and baseline removal. The results from this study indicate that the combined correction methods do minimize the instrument and sample quality variations within and between the instrument sites. However, more tissue samples of varying pathology states and greater tissue area coverage (per sample) are needed to properly assess the ability of Raman spectroscopy and system transferability algorithms over multiple instrument sites.
Citation:
Multi-centre Raman spectral mapping of oesophageal cancer tissues: a study to assess system transferability. 2016, 187:87-103 Faraday Discuss.
Publisher:
Royal Society of Chemistry
Journal:
Faraday discussions
Issue Date:
23-Jun-2016
URI:
http://hdl.handle.net/11287/620305
DOI:
10.1039/c5fd00183h
PubMed ID:
27048868
Additional Links:
http://dx.doi.org/10.1039/c5fd00183h
Type:
Journal Article
Language:
en
ISSN:
1359-6640
Appears in Collections:
Honorary contracts publications; 2016 RD&E publications

Full metadata record

DC FieldValue Language
dc.contributor.authorIsabelle, Men
dc.contributor.authorDorney, Jen
dc.contributor.authorLewis, Aen
dc.contributor.authorLloyd, G Ren
dc.contributor.authorOld, Oen
dc.contributor.authorShepherd, Nen
dc.contributor.authorRodriguez-Justo, Men
dc.contributor.authorBarr, Hen
dc.contributor.authorLau, Ken
dc.contributor.authorBell, Ien
dc.contributor.authorOhrel, Sen
dc.contributor.authorThomas, Gen
dc.contributor.authorStone, Nicken
dc.contributor.authorKendall, Cen
dc.date.accessioned2017-03-17T12:14:33Z-
dc.date.available2017-03-17T12:14:33Z-
dc.date.issued2016-06-23-
dc.identifier.citationMulti-centre Raman spectral mapping of oesophageal cancer tissues: a study to assess system transferability. 2016, 187:87-103 Faraday Discuss.en
dc.identifier.issn1359-6640-
dc.identifier.pmid27048868-
dc.identifier.doi10.1039/c5fd00183h-
dc.identifier.urihttp://hdl.handle.net/11287/620305-
dc.description.abstractThe potential for Raman spectroscopy to provide early and improved diagnosis on a wide range of tissue and biopsy samples in situ is well documented. The standard histopathology diagnostic methods of reviewing H&E and/or immunohistochemical (IHC) stained tissue sections provides valuable clinical information, but requires both logistics (review, analysis and interpretation by an expert) and costly processing and reagents. Vibrational spectroscopy offers a complimentary diagnostic tool providing specific and multiplexed information relating to molecular structure and composition, but is not yet used to a significant extent in a clinical setting. One of the challenges for clinical implementation is that each Raman spectrometer system will have different characteristics and therefore spectra are not readily compatible between systems. This is essential for clinical implementation where classification models are used to compare measured biochemical or tissue spectra against a library training dataset. In this study, we demonstrate the development and validation of a classification model to discriminate between adenocarcinoma (AC) and non-cancerous intraepithelial metaplasia (IM) oesophageal tissue samples, measured on three different Raman instruments across three different locations. Spectra were corrected using system transfer spectral correction algorithms including wavenumber shift (offset) correction, instrument response correction and baseline removal. The results from this study indicate that the combined correction methods do minimize the instrument and sample quality variations within and between the instrument sites. However, more tissue samples of varying pathology states and greater tissue area coverage (per sample) are needed to properly assess the ability of Raman spectroscopy and system transferability algorithms over multiple instrument sites.en
dc.language.isoenen
dc.publisherRoyal Society of Chemistryen
dc.relation.urlhttp://dx.doi.org/10.1039/c5fd00183hen
dc.rightsArchived with thanks to Faraday discussionsen
dc.subjectWessex Classification Subject Headings::Clinical pathologyen
dc.titleMulti-centre Raman spectral mapping of oesophageal cancer tissues: a study to assess system transferability.en
dc.typeJournal Articleen
dc.identifier.journalFaraday discussionsen
dc.type.versionPublisheden

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