• Hubert de Boysson, Anael Dumont, Eric Liozon, Marc Lambert, Jonathan Boutemy, Gwénola Maigné, Nicolas Martin Silva, Audrey Sultan, Kim Heang Ly, Nicolas Aide, Alain Manrique, Boris Bienvenu, and Achille Aouba.
• Department of Internal Medicine, Caen University Hospital, Avenue de la Côte de Nacre, 14000, Caen, France. deboysson-h@chu-caen.fr.
• Eur. J. Nucl. Med. Mol. Imaging. 2017 Dec 1; 44 (13): 2274-2279.

PurposeThe purpose of our study was to assess the concordance of aortic CT angiography (CTA) and FDG-PET/CT in the detection of large-vessel involvement at diagnosis in patients with giant-cell arteritis (GCA).MethodsWe created a multicenter cohort of patients with GCA diagnosed between 2010 and 2015, and who underwent both FDG-PET/CT and aortic CTA before or in the first ten days following treatment introduction. Eight vascular segments were studied on each procedure. We calculated concordance between both imaging techniques in a per-patient and a per-segment analysis, using Cohen's kappa concordance index.ResultsWe included 28 patients (21/7 women/men, median age 67 [56-82]). Nineteen patients had large-vessel involvement on PET/CT and 18 of these patients also presented positive findings on CTA. In a per-segment analysis, a median of 5 [1-7] and 3 [1-6] vascular territories were involved on positive PET/CT and CTA, respectively (p = 0.03). In qualitative analysis, i.e., positivity of the procedure suggesting a large-vessel involvement, the concordance rate between both procedures was 0.85 [0.64-1]. In quantitative analysis, i.e., per-segment analysis in both procedures, the global concordance rate was 0.64 [0.54-0.75]. Using FDG-PET/CT as a reference, CTA showed excellent sensitivity (95%) and specificity (100%) in a per-patient analysis. In a per-segment analysis, sensitivity and specificity were 61% and 97.9%, respectively.ConclusionsCTA and FDG-PET/CT were both able to detect large-vessel involvement in GCA with comparable results in a per-patient analysis. However, PET/CT showed higher performance in a per-segment analysis, especially in the detection of inflammation of the aorta's branches.

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