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Frontline clinical diagnosis—FTIR on pancreatic cancer

Edward Duckworth, Matthew Mortimer, Bilal Al‐Sarireh, Venkat Kanamarlapudi Orcid Logo, Deb Roy Orcid Logo

Cancer Medicine, Volume: 12, Issue: 16, Pages: 17340 - 17345

Swansea University Authors: Edward Duckworth, Venkat Kanamarlapudi Orcid Logo, Deb Roy Orcid Logo

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DOI (Published version): 10.1002/cam4.6346

Abstract

Objective: Accurate, easily accessible and economically viable cancer diagnostic tools are pivotal in improving the abysmal 5% survival rate of pancreatic cancer. Methods: A novel, affordable, non-invasive diagnostic method has been developed by combining measurement precision of infrared spectrosco...

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Published in: Cancer Medicine
ISSN: 2045-7634 2045-7634
Published: Wiley 2023
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa65016
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Abstract: Objective: Accurate, easily accessible and economically viable cancer diagnostic tools are pivotal in improving the abysmal 5% survival rate of pancreatic cancer. Methods: A novel, affordable, non-invasive diagnostic method has been developed by combining measurement precision of infrared spectroscopy with classification using machine learning tools. Results: Diagnosis accuracy as high as 90% has been achieved. The study investigated urine and blood from pancreas cancer patients and healthy volunteers, and significantly improved accuracy by focusing on sweet spots within blood plasma fractions containing molecules within a narrow range of molecular weights.
Keywords: Biomarker, cancer, diagnosis, FTIR, pancreatic, PCA, spectroscopy, SVM
College: Faculty of Science and Engineering
Funders: ED and DR acknowledge financial support from Cherish-DE, EPSRC and Swansea University. This project POLight has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
Issue: 16
Start Page: 17340
End Page: 17345

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