Attenuated total reflection fourier transform infrared (ATR-FTIR) spectral discrimination of brain tumour severity from serum samples

James R. Hands, Konrad M. Dorling, Peter Abel, Katherine M. Ashton, Andrew Brodbelt, Charles Davis, Timothy Dawson, Michael D. Jenkinson, Robert W. Lea, Carol Walker, Matthew J. Baker*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

114 Citations (Scopus)

Abstract

Gliomas are the most frequent primary brain tumours in adults with over 9,000 people diagnosed each year in the UK. A rapid, reagent-free and cost-effective diagnostic regime using serum spectroscopy would allow for rapid diagnostic results and for swift treatment planning and monitoring within the clinical environment. We report the use of ATR-FTIR spectral data combined with a RBF-SVM for the diagnosis of gliomas (high-grade and low-grade) from non-cancer with sensitivities and specificities on average of 93.75 and 96.53% respectively. The proposed diagnostic regime has the ability to reduce mortality and morbidity rates.

Original languageEnglish
Pages (from-to)189-199
Number of pages11
JournalJournal of Biophotonics
Volume7
Issue number3-4
Early online date7 Jan 2014
DOIs
Publication statusPublished - 1 Apr 2014

Keywords

  • ATR-FTIR
  • cancer
  • filtrate
  • glioma
  • infrared
  • rapid
  • serum
  • spectroscopy

Fingerprint

Dive into the research topics of 'Attenuated total reflection fourier transform infrared (ATR-FTIR) spectral discrimination of brain tumour severity from serum samples'. Together they form a unique fingerprint.

Cite this