Centre for Cardiovascular Sciences, University of Edinburgh
Edinburgh, Scotland, EH16 4SE, United Kingdom
NCT Number: NCT01358513
The aortic valve is the main outlet valve from the heart. This valve can become diseased and narrowed when it needs to be replaced with an artificial valve. Currently, this is the commonest reason for someone to undergo a heart valve operation in the UK. Unfortunately, there are no medical treatments that can prevent or delay the progression of this disease process. Here, the investigators propose to use new state-of-the-art imaging techniques to better understand the disease process so that the investigators can effectively design and assess potential new treatments. The ultimate aim is to stop this disease before patients need to have surgery. In addition the investigators believe this technique will allow us to predict the rate of progression of the disease
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Notify Me50 year–100 year
All sexes
Observational
Edinburgh, Scotland, EH16 4SE, United Kingdom
Aortic stenosis is the commonest valvular heart disease in the western world and is the leading indication for valve surgery. Histological studies have suggested similarities with atherosclerosis including inflammation, lipid deposition, increased macrophage activity and calcification. However, recent randomised controlled trials have failed to demonstrate a reduction in the rate of disease progression with statin therapy and the investigators believe there is now a need to re-evaluate the underlying factors involved in the initiation and progression of aortic stenosis. The investigators propose to assess the role of inflammation and calcification in the pathogenesis and progression of aortic stenosis by using positron emission tomography with [18F]-fluorodeoxyglucose and [18F-]-fluoride in patients with a range of aortic valve disease. The investigators hypothesise that increasing severity of valvular inflammation and calcification will correlate with disease severity and rate of disease progression. This work will lay the foundation for the subsequent application of interventions targeted at inflammation and calcification.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 2 years
We beleive NaF and FDG uptake in the valve will predict rate of progression of the disease. Disease severity will be measured by the aortic valve peak velocity
University of Edinburgh
Other
An Observational PET/CT Study Examining the Role of Active Valvular Calcification and Inflammation in Patients With Aortic Stenosis
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