Multiscale modelling of haemorrhagic transformation after ischaemic stroke
<p>The brain occupies around 2 % of human adult bodyweight but accounts for nearly 20% of metabolism in the body and 14% of blood flow. With an increasingly elderly population globally, the impacts of cerebrovascular diseases, such as stroke and dementia, are becoming increasingly significant....
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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2022
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| _version_ | 1826312597260992512 |
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| author | Wang, J |
| author2 | Payne, S |
| author_facet | Payne, S Wang, J |
| author_sort | Wang, J |
| collection | OXFORD |
| description | <p>The brain occupies around 2 % of human adult bodyweight but accounts for nearly 20% of metabolism in the body and 14% of blood flow. With an increasingly elderly population globally, the impacts of cerebrovascular diseases, such as stroke and dementia, are becoming increasingly significant. Notably, the clinical challenge of stroke is growing. For example, the data collected by the Stroke Association show that there are approximately 17 million new stroke patients across the world and more than 100,000 strokes each year in the UK.</p>
<p>Haemorrhagic transformation (HT) is one of the most common complications after ischaemic stroke caused by damage to the blood–brain barrier (BBB) that could be the result of stroke progression or a complication of stroke treatment with reperfusion therapy, causing bleeding in the brain. This can lead to further damage to the brain tissue and can increase the risk of disability or death. To better assist in understanding this, in this thesis a new intracerebral haemorrhagic transformation model is presented. This model is divided logically into three steps, starting from simulating haemorrhage in a single vessel to HT in a 3-dimensional vasculature model, and eventually applying this model within a whole brain model.</p>
<p>In the first model, a mathematical model of HT is developed to simulate the consequence of HT over a range of vasculature length scales. Then in the second study, this model is developed further into an enlarged multi-scale microvasculature model in order to investigate the effects of HT on the surrounding tissue and vasculature. Next, this HT is applied into a computational whole brain model. The effects of capillary compression and tissue displacement are also considered in these three models.</p>
<p>Finally, the volume of the haematoma is investigated in 15 subjects and used for validation against clinical imaging data. In addition, perfusion is calculated in the region of HT and used to compare with experimental data. This model is the first such to be able to simulate the correlation between bleeding regions and haematoma, which may be of assistance in future to assess the HT for clinicians.</p> |
| first_indexed | 2024-04-09T03:56:23Z |
| format | Thesis |
| id | oxford-uuid:d389c445-e918-4ffa-915b-e7dfaed3d783 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-04-09T03:56:23Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | oxford-uuid:d389c445-e918-4ffa-915b-e7dfaed3d7832024-03-18T08:39:22ZMultiscale modelling of haemorrhagic transformation after ischaemic strokeThesishttp://purl.org/coar/resource_type/c_db06uuid:d389c445-e918-4ffa-915b-e7dfaed3d783EnglishHyrax Deposit2022Wang, JPayne, SGrau, V<p>The brain occupies around 2 % of human adult bodyweight but accounts for nearly 20% of metabolism in the body and 14% of blood flow. With an increasingly elderly population globally, the impacts of cerebrovascular diseases, such as stroke and dementia, are becoming increasingly significant. Notably, the clinical challenge of stroke is growing. For example, the data collected by the Stroke Association show that there are approximately 17 million new stroke patients across the world and more than 100,000 strokes each year in the UK.</p> <p>Haemorrhagic transformation (HT) is one of the most common complications after ischaemic stroke caused by damage to the blood–brain barrier (BBB) that could be the result of stroke progression or a complication of stroke treatment with reperfusion therapy, causing bleeding in the brain. This can lead to further damage to the brain tissue and can increase the risk of disability or death. To better assist in understanding this, in this thesis a new intracerebral haemorrhagic transformation model is presented. This model is divided logically into three steps, starting from simulating haemorrhage in a single vessel to HT in a 3-dimensional vasculature model, and eventually applying this model within a whole brain model.</p> <p>In the first model, a mathematical model of HT is developed to simulate the consequence of HT over a range of vasculature length scales. Then in the second study, this model is developed further into an enlarged multi-scale microvasculature model in order to investigate the effects of HT on the surrounding tissue and vasculature. Next, this HT is applied into a computational whole brain model. The effects of capillary compression and tissue displacement are also considered in these three models.</p> <p>Finally, the volume of the haematoma is investigated in 15 subjects and used for validation against clinical imaging data. In addition, perfusion is calculated in the region of HT and used to compare with experimental data. This model is the first such to be able to simulate the correlation between bleeding regions and haematoma, which may be of assistance in future to assess the HT for clinicians.</p> |
| spellingShingle | Wang, J Multiscale modelling of haemorrhagic transformation after ischaemic stroke |
| title | Multiscale modelling of haemorrhagic transformation after ischaemic stroke |
| title_full | Multiscale modelling of haemorrhagic transformation after ischaemic stroke |
| title_fullStr | Multiscale modelling of haemorrhagic transformation after ischaemic stroke |
| title_full_unstemmed | Multiscale modelling of haemorrhagic transformation after ischaemic stroke |
| title_short | Multiscale modelling of haemorrhagic transformation after ischaemic stroke |
| title_sort | multiscale modelling of haemorrhagic transformation after ischaemic stroke |
| work_keys_str_mv | AT wangj multiscalemodellingofhaemorrhagictransformationafterischaemicstroke |