Applying quantitative image analysis to liver cancer

<p>Survival rates are poor for hepatocellular Carcinoma (HCC) compared to many other cancers, and death rates are increasing in countries such as the United States and United Kingdom. To improve outcomes, tumours need to be detected at a much earlier stage. Magnetic resonance imaging (MRI) may...

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Main Author: Pickles, E
Other Authors: Bulte, D
Format: Thesis
Language:English
Published: 2022
Subjects:
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author Pickles, E
author2 Bulte, D
author_facet Bulte, D
Pickles, E
author_sort Pickles, E
collection OXFORD
description <p>Survival rates are poor for hepatocellular Carcinoma (HCC) compared to many other cancers, and death rates are increasing in countries such as the United States and United Kingdom. To improve outcomes, tumours need to be detected at a much earlier stage. Magnetic resonance imaging (MRI) may provide a method to detect tumours earlier, potentially combined with other biomarkers.</p> <p>The hypothesis underlying this thesis is that the ability to measure iron in the liver accurately (that is, with low error) could provide an early marker for HCC development, as HCC tumours are thought to typically contain less iron than the liver (iron sparing). However, previously iron in the liver could only be measured using biopsy. MRI provides a non-invasive tool to measure iron.</p> <p>Current MRI techniques for measuring iron are not suitable for the application of detecting iron sparing as they are optimised to detect iron overload in diseases such as haemochromatosis and thalassemia. For iron sparing, low iron concentrations, and small, localised regions of differences in iron need to be detected.</p> <p>In this thesis I highlight the various limitations with existing techniques and describe the optimisation process to develop methods to quantify iron sparing. I verified that these could potentially be used in iron sparing using healthy volunteer data, phantom data, and patients. These MRI techniques can now be used in clinical trials for assessing if iron sparing is indeed a feature of HCC and thus whether MRI could be used as a surveillance tool to detect iron sparing in patients at-risk of HCC.</p>
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spelling oxford-uuid:54936bee-d708-4455-ac90-9d5c522d324e2023-08-31T13:30:06ZApplying quantitative image analysis to liver cancerThesishttp://purl.org/coar/resource_type/c_db06uuid:54936bee-d708-4455-ac90-9d5c522d324eMagnetic resonance imagingCancerLiverEnglishHyrax Deposit2022Pickles, EBulte, DBrady, MPavlides, MClare, SMurphy, K<p>Survival rates are poor for hepatocellular Carcinoma (HCC) compared to many other cancers, and death rates are increasing in countries such as the United States and United Kingdom. To improve outcomes, tumours need to be detected at a much earlier stage. Magnetic resonance imaging (MRI) may provide a method to detect tumours earlier, potentially combined with other biomarkers.</p> <p>The hypothesis underlying this thesis is that the ability to measure iron in the liver accurately (that is, with low error) could provide an early marker for HCC development, as HCC tumours are thought to typically contain less iron than the liver (iron sparing). However, previously iron in the liver could only be measured using biopsy. MRI provides a non-invasive tool to measure iron.</p> <p>Current MRI techniques for measuring iron are not suitable for the application of detecting iron sparing as they are optimised to detect iron overload in diseases such as haemochromatosis and thalassemia. For iron sparing, low iron concentrations, and small, localised regions of differences in iron need to be detected.</p> <p>In this thesis I highlight the various limitations with existing techniques and describe the optimisation process to develop methods to quantify iron sparing. I verified that these could potentially be used in iron sparing using healthy volunteer data, phantom data, and patients. These MRI techniques can now be used in clinical trials for assessing if iron sparing is indeed a feature of HCC and thus whether MRI could be used as a surveillance tool to detect iron sparing in patients at-risk of HCC.</p>
spellingShingle Magnetic resonance imaging
Cancer
Liver
Pickles, E
Applying quantitative image analysis to liver cancer
title Applying quantitative image analysis to liver cancer
title_full Applying quantitative image analysis to liver cancer
title_fullStr Applying quantitative image analysis to liver cancer
title_full_unstemmed Applying quantitative image analysis to liver cancer
title_short Applying quantitative image analysis to liver cancer
title_sort applying quantitative image analysis to liver cancer
topic Magnetic resonance imaging
Cancer
Liver
work_keys_str_mv AT picklese applyingquantitativeimageanalysistolivercancer