Back to Search
Start Over
Giant-cell arteritis: concordance study between aortic CT angiography and FDG-PET/CT in detection of large-vessel involvement.
- Source :
-
European journal of nuclear medicine and molecular imaging [Eur J Nucl Med Mol Imaging] 2017 Dec; Vol. 44 (13), pp. 2274-2279. Date of Electronic Publication: 2017 Jul 24. - Publication Year :
- 2017
-
Abstract
- Purpose: The 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).<br />Methods: We 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.<br />Results: We 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.<br />Conclusions: CTA 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.
Details
- Language :
- English
- ISSN :
- 1619-7089
- Volume :
- 44
- Issue :
- 13
- Database :
- MEDLINE
- Journal :
- European journal of nuclear medicine and molecular imaging
- Publication Type :
- Academic Journal
- Accession number :
- 28736805
- Full Text :
- https://doi.org/10.1007/s00259-017-3774-5