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Utility of (18)F-Fluorodeoxyglucose Positron Emission Tomography in Inflammatory Rheumatism, Particularly Polymyalgia Rheumatica: A Retrospective Study of 222 PET/CT

Purpose: The objective of this study was to evaluate periarticular FDG uptake scores from (18)F-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 (18)F-F...

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Detalles Bibliográficos
Autores principales: Amat, Julie, Chanchou, Marion, Olagne, Louis, Descamps, Lucie, Flaus, Anthime, Bouvet, Clément, Barres, Bertrand, Valla, Clemence, Molnar, Ioana, Cougoul, Arnaud, Mathieu, Sylvain, Aumaitre, Olivier, Soubrier, Martin, Kelly, Antony, Merlin, Charles, Cachin, Florent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456960/
https://www.ncbi.nlm.nih.gov/pubmed/32923444
http://dx.doi.org/10.3389/fmed.2020.00394
Descripción
Sumario:Purpose: The objective of this study was to evaluate periarticular FDG uptake scores from (18)F-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 (18)F-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 as that or higher than liver uptake intensity and by a semi-quantitative analysis using mean maximum standardized uptake value (SUVmax). Optimal cutoffs of visual score and SUVmax to diagnose PMR were determined using receiver operating characteristics curves. Results: Among 222 (18)F-FDG PET/CT selected for 215 patients, 161 (18)F-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 a specificity of 85.5% (AUC 0.872, 95% CI [0.81–0.93]). The mean FDG visual score cutoff to diagnose a PMR was 0.765 with a sensitivity of 82.5% and a specificity of 75.8% (AUC 0.854; 95% CI [0.80–0.91]). The mean SUVmax cutoff to diagnose PMR was 2.168 with a sensitivity of 77.2% and a specificity of 77.6% (AUC 0.842; 95% CI [0.79–0.89]). Conclusions: This study suggests that (18)F-FDG PET/CT had good performances to identify PMR within a population presenting rheumatic diseases.