About this trial
Large vessel vasculitis (LVV) causes vascular inflammation, leading to serious complications such as aneurysm formation and stroke. It is difficult to identify the inflammation of the vessel wall by the current imaging methods, thus affecting the timing of treatment and selection of treatment options. Improved examination methods to determine disease activity are highly needed to guide treatment.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Clinically suspected or confirmed LVV and willing to undergo PET/MRA
Compliance with long-term follow-up
Sign informed consent.
Disqualifiers
Patients with other serious cardiovascular and cerebrovascular diseases, malignant tumors, infectious diseases, severe renal insufficiency.
Severe mental disorders, severe claustrophobia unable to cooperate with the examination.
Patients equipped with cardiac pacemaker, artificial heart valve, ferromagnetic vascular clamp after vascular surgery, aneurysm clamp, artificial cochlea, insulin pump and other drug dosage control devices, steel nail plate and other metal internal fixation, artificial joint, electronic eye, artificial eye.
Allergic to contrast medium.
Trial population
Clinically suspected or confirmed LVV
Trial design
Cohort
Retrospective
Treatments tested in this trial
glucocorticoid, immunosuppressants, targeted therapy
DrugDrug intervention protocol will be determined by clinicians
Treatment groups
Trial outcomes
Primary outcomes
Vascular structural progression
Vascular structural progression indicated by PET/MRA (including new vessel wall thickening, increased thickening, vascular stenosis or occlusion, aneurysm formation)
Secondary outcomes
SUV max
Standardized uptake values(SUV) is a semiquantitative measurement of tumor uptake of FDG derived by measuring the ratio of radioactivity in the tumor to the expected baseline activity in the body. The SUVmax is defined as the maximum value for SUV in a Volume of interest (VOI) representing the highest metabolism in the tumor.
TBA
A template-based approach (TBA) consists in matching a model to the patient's anatomy so that the known attenuation map from the model can be applied to the patient data.
Sponsors and contacts
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