Utilization of Raman spectroscopy to identify breast cancer from the water content in surgical samples containing blue dye
dc.contributor.author | Hubbard, TJE | |
dc.contributor.author | Dudgeon, AP | |
dc.contributor.author | Ferguson, DJ | |
dc.contributor.author | Shore, AC | |
dc.contributor.author | Stone, N | |
dc.date.accessioned | 2021-01-25T07:49:51Z | |
dc.date.issued | 2020-12-16 | |
dc.description.abstract | Breast 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.sponsorship | National Institute for Health Research (NIHR) | en_GB |
dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
dc.identifier.citation | Article e202000023 | en_GB |
dc.identifier.doi | 10.1002/tbio.202000023 | |
dc.identifier.grantnumber | II-LB-1117-20002 | en_GB |
dc.identifier.grantnumber | EP/P012442/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/124487 | |
dc.language.iso | en | en_GB |
dc.publisher | Wiley | en_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.subject | breast cancer | en_GB |
dc.subject | breast neoplasms | en_GB |
dc.subject | mastectomy | en_GB |
dc.subject | Raman | en_GB |
dc.subject | Raman spectroscopy | en_GB |
dc.subject | segmental | en_GB |
dc.subject | spectrum analysis | en_GB |
dc.subject | surgical oncology | en_GB |
dc.title | Utilization of Raman spectroscopy to identify breast cancer from the water content in surgical samples containing blue dye | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2021-01-25T07:49:51Z | |
dc.identifier.issn | 2627-1850 | |
dc.description | This is the final version. Available on open access from Wiley via the DOI in this record. | en_GB |
dc.description | Data availability: The data that support the findings of this study are available from the corresponding author upon reasonable request. | en_GB |
dc.identifier.journal | Translational Biophotonics | en_GB |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2020-12-14 | |
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.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2020-12-14 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2021-01-25T07:43:00Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2021-01-25T07:49:56Z | |
refterms.panel | B | en_GB |
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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.