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Vibrational Spectroscopy Prospects in Frontline Clinical Diagnosis / EDWARD DUCKWORTH

Swansea University Author: EDWARD DUCKWORTH

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DOI (Published version): 10.23889/SUthesis.63186

Abstract

The key experimental results from this research are the viable and cost effective methods of diagnosing oral and pancreatic cancer with accuracies over 90%. Furthermore, development of the molecular windowing method to further narrow down the origins of those cancer biomarkers and further improve ac...

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Published: Swansea, Wales, UK 2023
Institution: Swansea University
Degree level: Doctoral
Degree name: Ph.D
Supervisor: Roy, Deb. and Al-Sarireh, Bilal.
URI: https://cronfa.swan.ac.uk/Record/cronfa63186
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first_indexed 2023-04-28T10:40:58Z
last_indexed 2023-04-28T10:40:58Z
id cronfa63186
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spelling v2 63186 2023-04-18 Vibrational Spectroscopy Prospects in Frontline Clinical Diagnosis fba8c4f141de5c104eaa63a96d9af0d6 EDWARD DUCKWORTH EDWARD DUCKWORTH true false 2023-04-18 The key experimental results from this research are the viable and cost effective methods of diagnosing oral and pancreatic cancer with accuracies over 90%. Furthermore, development of the molecular windowing method to further narrow down the origins of those cancer biomarkers and further improve accuracy.Many papers are being published demonstrating how vibrational spectral biomarkers can be used to diagnose a whole variety of diseases, from cancers to colitis. However, much of the research, proposed as discovering a useful tool for clinical diagnosis, has not yet been widely utilised in clinical practice. This is due mainly to the lack or reproducibility of the findings and current lack of relating the spectral observation to a root biological cause. This thesis aims to highlight the inconsistencies between studies and propose an improved process for spectral biomarker identification, including suggestions for follow up studies to discover the foundation of the spectral change. This thesis reassesses, and adds to, ground covered by previous reviews regarding sample preparation, patient selection and multivariate analysis.Resultantly, this thesis brings light to the need, and suggests solutions, for:• a method to standardise results between detection devices,• knowledge of the additional requirements for using biomarkers for disease monitoring/prognosis,• understanding the biological root cause for the spectral shift.These promising results and suggestions for combined methodology improvements will provide guidance to enable this burgeoning research field to improve patient outcome in the clinical sphere. E-Thesis Swansea, Wales, UK Chemistry, Biology, Optics, Spectroscopy, Diagnosis, Cancer, Machine learning, Buccal Mucosa, Oral cancer, Pancreatic, Raman, FTIR, NMR, Infrared, Biomarker. 22 2 2023 2023-02-22 10.23889/SUthesis.63186 A selection of third party content is redacted or is partially redacted from this thesis due to copyright restrictions. COLLEGE NANME COLLEGE CODE Swansea University Roy, Deb. and Al-Sarireh, Bilal. Doctoral Ph.D EPSRC 2023-09-28T15:10:58.8608079 2023-04-18T12:32:41.4030476 Faculty of Science and Engineering School of Engineering and Applied Sciences - Chemistry EDWARD DUCKWORTH 1 63186__27264__29117f5b632c4b44ae7aca3e0843af10.pdf 2023_Duckworth_EIT.final.63186.pdf 2023-04-28T11:40:25.6875750 Output 4862268 application/pdf Redacted version - open access true Copyright: The Author, Edward I. T. Duckworth, 2023. true eng
title Vibrational Spectroscopy Prospects in Frontline Clinical Diagnosis
spellingShingle Vibrational Spectroscopy Prospects in Frontline Clinical Diagnosis
EDWARD DUCKWORTH
title_short Vibrational Spectroscopy Prospects in Frontline Clinical Diagnosis
title_full Vibrational Spectroscopy Prospects in Frontline Clinical Diagnosis
title_fullStr Vibrational Spectroscopy Prospects in Frontline Clinical Diagnosis
title_full_unstemmed Vibrational Spectroscopy Prospects in Frontline Clinical Diagnosis
title_sort Vibrational Spectroscopy Prospects in Frontline Clinical Diagnosis
author_id_str_mv fba8c4f141de5c104eaa63a96d9af0d6
author_id_fullname_str_mv fba8c4f141de5c104eaa63a96d9af0d6_***_EDWARD DUCKWORTH
author EDWARD DUCKWORTH
author2 EDWARD DUCKWORTH
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publishDate 2023
institution Swansea University
doi_str_mv 10.23889/SUthesis.63186
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Chemistry{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Chemistry
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description The key experimental results from this research are the viable and cost effective methods of diagnosing oral and pancreatic cancer with accuracies over 90%. Furthermore, development of the molecular windowing method to further narrow down the origins of those cancer biomarkers and further improve accuracy.Many papers are being published demonstrating how vibrational spectral biomarkers can be used to diagnose a whole variety of diseases, from cancers to colitis. However, much of the research, proposed as discovering a useful tool for clinical diagnosis, has not yet been widely utilised in clinical practice. This is due mainly to the lack or reproducibility of the findings and current lack of relating the spectral observation to a root biological cause. This thesis aims to highlight the inconsistencies between studies and propose an improved process for spectral biomarker identification, including suggestions for follow up studies to discover the foundation of the spectral change. This thesis reassesses, and adds to, ground covered by previous reviews regarding sample preparation, patient selection and multivariate analysis.Resultantly, this thesis brings light to the need, and suggests solutions, for:• a method to standardise results between detection devices,• knowledge of the additional requirements for using biomarkers for disease monitoring/prognosis,• understanding the biological root cause for the spectral shift.These promising results and suggestions for combined methodology improvements will provide guidance to enable this burgeoning research field to improve patient outcome in the clinical sphere.
published_date 2023-02-22T15:11:00Z
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score 11.036706

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