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FTIR spectroscopy of buccal cells to identify an infrared spectral signature of Lung Cancer

Antoniou, Sophia Xanthe; (2021) FTIR spectroscopy of buccal cells to identify an infrared spectral signature of Lung Cancer. Doctoral thesis (Ph.D), UCL (University College London).

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Sophia Antoniou PhD Thesis StudentNo18110507_FINALethesis.pdf
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Abstract

Improving the early diagnosis of lung cancer is a key priority. Lung cancer is the leading cause of cancer death in the UK, largely due to it presenting late. However, if detected early there is a chance of cure. This research uses Fourier transform infrared (FTIR) spectroscopy to identify changes in cytologically normal buccal cells that could be indicative of field carcinogenesis, with the aim of identifying a lung cancer screening tool that would help improve early diagnosis. Buccal samples have been collected from patients with and without lung cancer and been analysed by FTIR spectroscopy, using both synchrotron and conventional light sources. Comparisons have been made between the spectra of cells from patients with cancer and those without in three separate patient cohorts. The spectral signatures between individuals with lung cancer and those without have been compared and classifiers created with a view to predicting the presence of lung cancer. Sub-analysis has investigated the influence of smoking, disease stage and other pathologies on the spectral signatures detected. A statistically significant difference between the spectra of cells from patients with lung cancer compared to those without, was found in all three cohorts. Classifiers could correctly identify patients with sensitivities 51 – 59% based on specificities between 63 – 73%, however validation in separate populations was unable to reproduce these findings. This project has made some interesting findings and laid the basis for future work to improve on the classification models and understanding of the spectral difference detected.

Type: Thesis (Doctoral)
Qualification: Ph.D
Title: FTIR spectroscopy of buccal cells to identify an infrared spectral signature of Lung Cancer
Event: UCL (University College London)
Language: English
Additional information: Copyright © The Author 2021. Original content in this thesis is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Licence (https://creativecommons.org/licenses/by-nc/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. Access may initially be restricted at the author’s request.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Respiratory Medicine
URI: https://discovery.ucl.ac.uk/id/eprint/10135580
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