Actively Recruiting
PET Assessment of Disease Activity and Cardiovascular Disease Risk in ANCA-associated Vasculitis
Led by University of Edinburgh · Updated on 2026-02-12
120
Participants Needed
1
Research Sites
152 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Antineutrophil cytoplasm antibody (ANCA)-associated vasculitis (AAV) is a severe autoimmune condition characterised by inflammation of small blood vessels. The condition causes multi-organ dysfunction and, if left untreated, is usually fatal. AAV is difficult to diagnose and the degree of disease activity is challenging to monitor. Current methods of disease activity assessment are either inaccurate (blood tests), invasive (biopsy), or non-specific (imaging). Additionally, though modern treatments are effective, patients with AAV remain at a substantially increased risk of cardiovascular disease (CVD) in the long-term. There is therefore an urgent need for a tool which is able to reliably identify disease, and assess long-term CVD risk. Total-Body PET imaging with FDG, DOTATATE, and FAPI radiotracers may provide the answer. This study will recruit patients with active AAV, together with a control group of individuals without the disease, to undergo Total-Body FDG, DOTATATE, and FAPI PET scanning and compare the results with established measures of disease activity and CVD risk assessment. The investigators believe that Total-Body PET scanning will be capable of accurately identifying AAV disease and those at increased CVD risk. This could enhance understanding and improve the management of those with the condition. This study will recruit a group of patients with AAV and a comparator groups of 'matched' individuals without AAV. Comparisons between groups will allow the investigators to ensure that the changes seen are due to AAV disease. The study will recruit a minimum of 30 and a maximum of 90 participants in the AAV group, and a minimum of 10 and maximum of 30 participants in the matched control group. AAV subjects and matched control subjects will undergo baseline total-body PET scanning with either one, two or three radiotracers (\[18F\]-FDG, \[68Ga\]-DOTATATE, and \[68Ga\]-FAPI). Alongside this they will receive assessment of cardiovascular disease risk including 24-hour blood pressure measurement, arterial stiffness measurement, and retinal scanning. Participants will also supply a blood and urine sample. For matched control subjects, their participation will end at this point. Subjects in the AAV group will undergo repeat assessment with total-body PET imaging and cardiovascular disease risk measurement once their condition is in remission (usually after around 3-6 months). The investigators will compare PET scan results between groups, and with cardiovascular assessments. This will allow determination of whether total-body PET scanning can identify AAV disease activity, and whether it can inform CVD risk. All research activity will be carried out within the University of Edinburgh BioQuarter, including the Royal infirmary of Edinburgh, the Edinburgh Imaging Facility, and Queen's Medical Research Institute.
CONDITIONS
Official Title
PET Assessment of Disease Activity and Cardiovascular Disease Risk in ANCA-associated Vasculitis
Who Can Participate
Eligibility Criteria
You may qualify if you...
- 18 years of age or older
- Diagnosis of active ANCA-associated vasculitis (AAV)
You will not qualify if you...
- More than 3 weeks since starting treatment before baseline scan
- Pregnancy or breastfeeding
- Advanced kidney dysfunction (eGFR less than 15 ml/min/1.73m2)
- Allergic reaction or sensitivity to the radiotracers used
- Insulin-dependent diabetes mellitus
- Lack of mental capacity or unwillingness to provide informed consent
AI-Screening
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Trial Site Locations
Total: 1 location
1
University of Edinburgh
Edinburgh, United Kingdom
Actively Recruiting
Research Team
N
Neeraj Dhaun, MBChB PhD
CONTACT
D
Dan Pugh, MBChB PhD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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