| EPSRC Reference: |
EP/L505304/1 |
| Title: |
Atherosclerosis stratification using advanced imaging and computer-based models |
| Principal Investigator: |
Botnar, Professor RM |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Imaging & Biomedical Engineering |
| Organisation: |
Kings College London |
| Scheme: |
Technology Programme |
| Starts: |
01 September 2014 |
Ends: |
31 December 2017 |
Value (£): |
309,709
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| EPSRC Research Topic Classifications: |
| Med.Instrument.Device& Equip. |
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| EPSRC Industrial Sector Classifications: |
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| Related Grants: |
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| Panel History: |
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Summary on Grant Application Form |
The goal of the proposed project is to develop a novel tool for atherosclerosis risk stratification. Cardiovascular disease
(CVD) via atherosclerotic plaque rupture (coronary artery disease (CAD) and stroke) is the leading single cause of
morbidity and mortality in the Western world. Vascular atherosclerotic disease is a causative factor in a high percentage of
CVD events. Widely accepted risk markers that allow predicting cardiovascular events such as myocardial infarction and
stroke are currently based on risk factors such as smoking, weight and blood pressure. These lifestyle factors and medical
conditions are derived from population based studies and are linked to an average probability of having a CV event, but do
not measure the individual's personal risk, and are therefore can result in potential overtreatment.
The main deliverable from this project will be a computational tool to assess the grade of atherosclerosis of an individual
person using multi-parametric magnetic resonance imaging (MRI) in combination with biophysical computer models.
Advanced imaging with Magnetic Resonance will be used for plaque burden measurement and plaque component
characterization in order to identify the risk of rupture and the systemic atherosclerosis burden. The team will use exiting
MRI methods in combination with novel markers of plaque vulnerability. These markers include: plaque volume, intraplaque
haemorrhage, lipid content, calcification, endothelial permeability and extracellular volume. In addition, biophysical
models will be used to predict biomechanical properties related to atherosclerotic changes in the vascular system. The
team will investigate and compute markers such as wall shear stress, particle residence time and arterial wall stiffness,
which can give further insight into atherosclerosis development. For the first time, different parameters from modelling and The goal of the proposed project is to develop a novel tool for atherosclerosis risk stratification. Cardiovascular disease
(CVD) via atherosclerotic plaque rupture (coronary artery disease (CAD) and stroke) is the leading single cause of
morbidity and mortality in the Western world. Vascular atherosclerotic disease is a causative factor in a high percentage of
CVD events. Widely accepted risk markers that allow predicting cardiovascular events such as myocardial infarction and
stroke are currently based on risk factors such as smoking, weight and blood pressure. These lifestyle factors and medical
conditions are derived from population based studies and are linked to an average probability of having a CV event, but do
not measure the individual's personal risk, and are therefore can result in potential overtreatment.
The main deliverable from this project will be a computational tool to assess the grade of atherosclerosis of an individual
person using multi-parametric magnetic resonance imaging (MRI) in combination with biophysical computer models.
Advanced imaging with Magnetic Resonance will be used for plaque burden measurement and plaque component
characterization in order to identify the risk of rupture and the systemic atherosclerosis burden. The team will use exiting
MRI methods in combination with novel markers of plaque vulnerability. These markers include: plaque volume, intraplaque
haemorrhage, lipid content, calcification, endothelial permeability and extracellular volume. In addition, biophysical
models will be used to predict biomechanical properties related to atherosclerotic changes in the vascular system. The
team will investigate and compute markers such as wall shear stress, particle residence time and arterial wall stiffness,
which can give further insight into atherosclerosis development. For the first time, different parameters from modelling and The goal of the proposed project is to develop a novel tool for atherosclerosis risk stratification. Cardiovascular disease
(CVD) via atherosclerotic plaque rupture
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
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