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dc.contributor.authorHubbard, TJE
dc.contributor.authorDudgeon, AP
dc.contributor.authorFerguson, DJ
dc.contributor.authorShore, AC
dc.contributor.authorStone, N
dc.date.accessioned2021-01-25T07:49:51Z
dc.date.issued2020-12-16
dc.description.abstractBreast conserving surgery (BCS) for breast cancer aims for optimal oncological results with minimal tissue excision. Positive margins due to insufficient resection results in significant numbers of patients requiring re‐excision, which could be resolved with intra‐operative margin analysis (IMA). High wavenumber (HWN) Raman Spectroscopy (RS) examines the difference in protein/lipid environment and water content in tissues. Fluorescence from haemoglobin and blue dye surgical pigments (commonly present in excised breast tissue) can confound HWN RS. We present a Raman system with 785 nm excitation laser and indium gallium arsenide camera capable of quantifying changes in water content in different environments (protein‐rich and lipid‐rich) by measuring the water/total area ratio (W/TAR) of the HWN spectrum. We demonstrate that haemoglobin and blue dye do not adversely affect water content analysis by the W/TAR calculation. Measurement of paired tumour/non‐tumour human breast tissue specimens showed the biochemical differences between tissues, and spectral analysis with W/TAR demonstrated large differences in water content and that our Raman system can accurately differentiate between tumour and non‐tumour tissue, even in the presence of surgical pigments. This provides proof of principle that this Raman system is suitable for further investigation with a view to providing IMA in the clinical environment.en_GB
dc.description.sponsorshipNational Institute for Health Research (NIHR)en_GB
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.identifier.citationArticle e202000023en_GB
dc.identifier.doi10.1002/tbio.202000023
dc.identifier.grantnumberII-LB-1117-20002en_GB
dc.identifier.grantnumberEP/P012442/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/124487
dc.language.isoenen_GB
dc.publisherWileyen_GB
dc.rights© 2020 The Authors. Translational Biophotonics published by Wiley‐VCH GmbH. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en_GB
dc.subjectbreast canceren_GB
dc.subjectbreast neoplasmsen_GB
dc.subjectmastectomyen_GB
dc.subjectRamanen_GB
dc.subjectRaman spectroscopyen_GB
dc.subjectsegmentalen_GB
dc.subjectspectrum analysisen_GB
dc.subjectsurgical oncologyen_GB
dc.titleUtilization of Raman spectroscopy to identify breast cancer from the water content in surgical samples containing blue dyeen_GB
dc.typeArticleen_GB
dc.date.available2021-01-25T07:49:51Z
dc.identifier.issn2627-1850
dc.descriptionThis is the final version. Available on open access from Wiley via the DOI in this record. en_GB
dc.descriptionData availability: The data that support the findings of this study are available from the corresponding author upon reasonable request.en_GB
dc.identifier.journalTranslational Biophotonicsen_GB
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2020-12-14
exeter.funder::National Institute for Health Research (NIHR)en_GB
exeter.funder::Engineering and Physical Sciences Research Council (EPSRC)en_GB
exeter.funder::National Institute for Health Research (NIHR)en_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2020-12-14
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-01-25T07:43:00Z
refterms.versionFCDVoR
refterms.dateFOA2021-01-25T07:49:56Z
refterms.panelBen_GB


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© 2020 The Authors. Translational Biophotonics published by Wiley‐VCH GmbH.

This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's licence is described as © 2020 The Authors. Translational Biophotonics published by Wiley‐VCH GmbH. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.