Frontiers in Medicine · 2020 · 12 citations · 19 references
MedicineNuclear MedicineRadiologyDiagnostic ImagingDiagnostic RadiologyRheumatologyAutoimmune Rheumatic DiseasesImaging AssessmentInflammatory ArthritisMusculoskeletal ImagingPositron Emission TomographyRheumatoid Arthritis18F-fluorodeoxyglucose Imaging18F-fluorodeoxyglucose Positron Emission TomographyFluorine-18 Fluorodeoxyglucose Positron Emission TomographyInflammatory Arthritis ImagingInflammatory Arthropathy ImagingPolymyalgia RheumaticaRetrospective Case StudyRheumatoid Arthritis Diagnostics
Purpose: The objective of this study was to evaluate periarticular FDG uptake scores from 18F-FDG-PET/CT to identify polymyalgia rheumatica (PMR) within a population presenting rheumatic diseases. Methods: A French retrospective study from 2011 to 2015 was conducted. Patients who underwent 18F-FDG-PET/CT for diagnosis or follow-up of a rheumatism or an unexplained biological inflammatory syndrome were included. Clinical data and final diagnosis were reviewed. Seventeen periarticular sites were sorted by a visual reading enabling us to calculate two scores: mean FDG visual uptake score, number of sites with significant uptake same or higher than liver uptake intensity and by a semi-quantitative analysis using mean maximum standardized uptake value (SUVmax). Optimal cut-offs of visual score and SUVmax to diagnose PMR were determined using receiver operating characteristics curves. Results: Among 222 18F-FDG PET/CT selected for 215 patients, 161 18F-FDG PET/CT were performed in patients who presented inflammatory rheumatism as a final diagnosis (of whom 57 PMR). The presence of at least three sites with significant uptake identified PMR with a sensitivity of 86% and specificity of 85.5% (AUC 0.872, CI-95% [0.81-0.93]). The mean FDG visual score cut-off to diagnose a PMR was 0.765 with a sensitivity of 82.5% and specificity of 75.8% (AUC 0.854; CI-95% [0.80-0.91]). The mean SUVmax cut-off to diagnose PMR was 2.168 with a sensitivity of 77.2 % and specificity of 77.6 % (AUC 0.842; CI-95% [0.79-0.89]). Conclusions: This study suggest that 18F-FDG PET/CT had good performances to identify polymyalgia rheumatic within a population presenting rheumatic diseases.
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Martín Rudwaleit, Désirée van der Heijde, R. B. M. Landewé et al. · Annals of the Rheumatic Diseases · 2009 · 3.6K citations · Full text
Bhaskar Dasgupta, Marco A. Cimmino, Hilal Maradit Kremers et al. · Annals of the Rheumatic Diseases · 2012 · 661 citations · Full text