Ellis, Barnaby
(2022)
Infrared Spectroscopic Techniques & Predictive Modelling Applied to Oral Cancer Diagnostics.
Doctor of Philosophy thesis, University of Liverpool.
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Abstract
Cancer is a leading cause of mortality and morbidity worldwide. The burden cancer imposes on health services is increasing, owing to an ageing and growing population. Whilst effective treatment is essential, the prevention, diagnosis and risk stratification of early-stage cancer is paramount. Subjectivity and ambiguity are a hindrance in the diagnosis of many cancers. Oral cancer is a condition that is often diagnosed at a late stage as asymptotic early-stage conditions regularly go undetected. Vibrational spectroscopy is a family of techniques which allow an objective view of the intrinsic chemistry of a sample. It has shown great promise in the field of cancer diagnosis, but there is still a significant gulf between research efforts and clinical adoption. The work contained within this thesis describes the utilisation of novel vibrational spectroscopy analytical methods to extract important information from pathological oral tissue. The important information is used to provide further insight into the biochemistry of malignancy, as well as to attempt to predict malignant transformation in early-stage cancer.
| Item Type: | Thesis (Doctor of Philosophy) |
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| Divisions: | Faculty of Science and Engineering > School of Physical Sciences |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 16 Dec 2022 14:51 |
| Last Modified: | 18 Jan 2023 19:49 |
| DOI: | 10.17638/03165816 |
| Supervisors: |
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| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3165816 |
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