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Development of high-throughput ATR-FTIR technology for rapid triage of brain cancer

Non-specific symptoms, as well as the lack of a cost-effective test to triage patients in primary care, has resulted in increased time-to-diagnosis and a poor prognosis for brain cancer patients. A rapid, cost-effective, triage test could significantly improve this patient pathway. A blood test usin...

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Autores principales: Butler, Holly J., Brennan, Paul M., Cameron, James M., Finlayson, Duncan, Hegarty, Mark G., Jenkinson, Michael D., Palmer, David S., Smith, Benjamin R., Baker, Matthew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6783469/
https://www.ncbi.nlm.nih.gov/pubmed/31594931
http://dx.doi.org/10.1038/s41467-019-12527-5
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author Butler, Holly J.
Brennan, Paul M.
Cameron, James M.
Finlayson, Duncan
Hegarty, Mark G.
Jenkinson, Michael D.
Palmer, David S.
Smith, Benjamin R.
Baker, Matthew J.
author_facet Butler, Holly J.
Brennan, Paul M.
Cameron, James M.
Finlayson, Duncan
Hegarty, Mark G.
Jenkinson, Michael D.
Palmer, David S.
Smith, Benjamin R.
Baker, Matthew J.
author_sort Butler, Holly J.
collection PubMed
description Non-specific symptoms, as well as the lack of a cost-effective test to triage patients in primary care, has resulted in increased time-to-diagnosis and a poor prognosis for brain cancer patients. A rapid, cost-effective, triage test could significantly improve this patient pathway. A blood test using attenuated total reflection (ATR)-Fourier transform infrared (FTIR) spectroscopy for the detection of brain cancer, alongside machine learning technology, is advancing towards clinical translation. However, whilst the methodology is simple and does not require extensive sample preparation, the throughput of such an approach is limited. Here we describe the development of instrumentation for the analysis of serum that is able to differentiate cancer and control patients at a sensitivity and specificity of 93.2% and 92.8%. Furthermore, preliminary data from the first prospective clinical validation study of its kind are presented, demonstrating how this innovative technology can triage patients and allow rapid access to imaging.
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spelling pubmed-67834692019-10-10 Development of high-throughput ATR-FTIR technology for rapid triage of brain cancer Butler, Holly J. Brennan, Paul M. Cameron, James M. Finlayson, Duncan Hegarty, Mark G. Jenkinson, Michael D. Palmer, David S. Smith, Benjamin R. Baker, Matthew J. Nat Commun Article Non-specific symptoms, as well as the lack of a cost-effective test to triage patients in primary care, has resulted in increased time-to-diagnosis and a poor prognosis for brain cancer patients. A rapid, cost-effective, triage test could significantly improve this patient pathway. A blood test using attenuated total reflection (ATR)-Fourier transform infrared (FTIR) spectroscopy for the detection of brain cancer, alongside machine learning technology, is advancing towards clinical translation. However, whilst the methodology is simple and does not require extensive sample preparation, the throughput of such an approach is limited. Here we describe the development of instrumentation for the analysis of serum that is able to differentiate cancer and control patients at a sensitivity and specificity of 93.2% and 92.8%. Furthermore, preliminary data from the first prospective clinical validation study of its kind are presented, demonstrating how this innovative technology can triage patients and allow rapid access to imaging. Nature Publishing Group UK 2019-10-08 /pmc/articles/PMC6783469/ /pubmed/31594931 http://dx.doi.org/10.1038/s41467-019-12527-5 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Butler, Holly J.
Brennan, Paul M.
Cameron, James M.
Finlayson, Duncan
Hegarty, Mark G.
Jenkinson, Michael D.
Palmer, David S.
Smith, Benjamin R.
Baker, Matthew J.
Development of high-throughput ATR-FTIR technology for rapid triage of brain cancer
title Development of high-throughput ATR-FTIR technology for rapid triage of brain cancer
title_full Development of high-throughput ATR-FTIR technology for rapid triage of brain cancer
title_fullStr Development of high-throughput ATR-FTIR technology for rapid triage of brain cancer
title_full_unstemmed Development of high-throughput ATR-FTIR technology for rapid triage of brain cancer
title_short Development of high-throughput ATR-FTIR technology for rapid triage of brain cancer
title_sort development of high-throughput atr-ftir technology for rapid triage of brain cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6783469/
https://www.ncbi.nlm.nih.gov/pubmed/31594931
http://dx.doi.org/10.1038/s41467-019-12527-5
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