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PET/MRI in large-vessel vasculitis: clinical value for diagnosis and assessment of disease activity
PET/MRI in large-vessel vasculitis: clinical value for diagnosis and assessment of disease activity
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PET/MRI in large-vessel vasculitis: clinical value for diagnosis and assessment of disease activity
PET/MRI in large-vessel vasculitis: clinical value for diagnosis and assessment of disease activity

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PET/MRI in large-vessel vasculitis: clinical value for diagnosis and assessment of disease activity
PET/MRI in large-vessel vasculitis: clinical value for diagnosis and assessment of disease activity
Journal Article

PET/MRI in large-vessel vasculitis: clinical value for diagnosis and assessment of disease activity

2019
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Overview
Diagnosis of large vessel vasculitis (LVV) and evaluation of its inflammatory activity can be challenging. Our aim was to investigate the value of hybrid positron-emission tomography/magnetic resonance imaging (PET/MRI) in LVV. All consecutive patients with LVV from the Department of Internal Medicine who underwent PET/MRI were included. Three PET/MRI patterns were defined: (i) “inflammatory,” with positive PET (>liver uptake) and abnormal MRI (stenosis and/or wall thickening); (ii) “fibrous”, negative PET (≤liver uptake) and abnormal MRI; and (iii) “normal”. Thirteen patients (10 female; median age: 67-years [range: 23–87]) underwent 18 PET/MRI scans. PET/MRI was performed at diagnosis (n = 4), at relapse (n = 7), or during remission (n = 7). Among the 18 scans, eight (44%) showed an inflammatory pattern and three (17%) a fibrous pattern; the other seven were normal. The distribution of the three patterns did not differ between patients with Takayasu arteritis (TA, n = 10 scans) and those with giant cell arteritis (GCA, n = 8 scans). PET/MRI findings were normal in 2/10 (20%) TA scans vs. 5/8 (62%) GCA scans (p = 0.3). Median SUV max was 4.7 [2.1–8.6] vs. 2 [1.8–2.6] in patients with active disease vs. remission, respectively (p = 0.003). PET/MRI is a new hybrid imaging modality allowing comprehensive and multimodal analysis of vascular wall inflammation and the vascular lumen. This technique offers promising perspectives for the diagnosis and monitoring of LVV.