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

Holly J. Butler (), Paul M. Brennan, James M. Cameron, Duncan Finlayson, Mark G. Hegarty, Michael D. Jenkinson, David S. Palmer, Benjamin R. Smith and Matthew J. Baker ()
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Holly J. Butler: University of Strathclyde, Technology and Innovation Centre
Paul M. Brennan: Western General Hospital
James M. Cameron: University of Strathclyde, Technology and Innovation Centre
Duncan Finlayson: University of Strathclyde, Technology and Innovation Centre
Mark G. Hegarty: University of Strathclyde, Technology and Innovation Centre
Michael D. Jenkinson: University of Liverpool & The Walton Centre NHS Foundation Trust, Lower Lane, Fazakerley
David S. Palmer: University of Strathclyde, Technology and Innovation Centre
Benjamin R. Smith: University of Strathclyde, Technology and Innovation Centre
Matthew J. Baker: University of Strathclyde, Technology and Innovation Centre

Nature Communications, 2019, vol. 10, issue 1, 1-9

Abstract: Abstract 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.

Date: 2019
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DOI: 10.1038/s41467-019-12527-5

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