VASCOLL | QSM in plaque vulnerability diagnosis – a software tool for early clinical assessment

Summary
Stroke is the leading cause of disability and the third leading cause of death in the Western World. Over 50% of strokes occur in
asymptomatic patients and therefore better indicators of the disease are required. These acute asymptomatic cerebrovascular
events are due to vulnerable plaque rupture leading to thromboembolic events, stroke, and/or sudden death. From our work to-date
as part of ERC Starting grant FibreRemodel, we have found that that most significant contributor to rupture strength of a plaque is
the underlying collagen fibres within this tissue, particularly within the fibrous plaque cap. The underlying structure of the carotid
plaque may therefore be used to determine the risk of vulnerable plaque rupture. However, a non-invasive diagnostic technique,
which uses knowledge of in vivo arterial collagen content, has yet to be developed. VASCOLL will generate the first software tool
that can inform on plaque vulnerability in a non-invasive way, enabling early diagnosis of the predisposition of a carotid plaque to
rupture and facilitating the selection of the optimum treatment minimising the need for surgery and healthcare-associated costs.
This approach will offer a number of significant benefits over current approaches to vulnerable plaque identification. Firstly, this
technique will be the first ex vivo and in vivo application of the QSM technique to human arteries and carotid plaques to exploit the
sensitivity of magnetic susceptibility to collagen content in arteries. Secondly, this technique is relatively easy and efficient to
translate in vivo. Given that this method determines the underlying plaque and vessel structure, not merely level of stenosis,
VASCOLL will transform how vulnerable carotid plaques are identified and treated.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/101066777
Start date: 01-09-2022
End date: 29-02-2024
Total budget - Public funding: - 150 000,00 Euro
Cordis data

Original description

Stroke is the leading cause of disability and the third leading cause of death in the Western World. Over 50% of strokes occur in
asymptomatic patients and therefore better indicators of the disease are required. These acute asymptomatic cerebrovascular
events are due to vulnerable plaque rupture leading to thromboembolic events, stroke, and/or sudden death. From our work to-date
as part of ERC Starting grant FibreRemodel, we have found that that most significant contributor to rupture strength of a plaque is
the underlying collagen fibres within this tissue, particularly within the fibrous plaque cap. The underlying structure of the carotid
plaque may therefore be used to determine the risk of vulnerable plaque rupture. However, a non-invasive diagnostic technique,
which uses knowledge of in vivo arterial collagen content, has yet to be developed. VASCOLL will generate the first software tool
that can inform on plaque vulnerability in a non-invasive way, enabling early diagnosis of the predisposition of a carotid plaque to
rupture and facilitating the selection of the optimum treatment minimising the need for surgery and healthcare-associated costs.
This approach will offer a number of significant benefits over current approaches to vulnerable plaque identification. Firstly, this
technique will be the first ex vivo and in vivo application of the QSM technique to human arteries and carotid plaques to exploit the
sensitivity of magnetic susceptibility to collagen content in arteries. Secondly, this technique is relatively easy and efficient to
translate in vivo. Given that this method determines the underlying plaque and vessel structure, not merely level of stenosis,
VASCOLL will transform how vulnerable carotid plaques are identified and treated.

Status

SIGNED

Call topic

ERC-2022-POC1

Update Date

09-02-2023
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Horizon Europe
HORIZON.1 Excellent Science
HORIZON.1.1 European Research Council (ERC)
HORIZON.1.1.0 Cross-cutting call topics
ERC-2022-POC1 ERC PROOF OF CONCEPT GRANTS1
HORIZON.1.1.1 Frontier science
ERC-2022-POC1 ERC PROOF OF CONCEPT GRANTS1