Utility of 18F-Fluorodeoxyglucose Positron Emission Tomography in Inflammatory Rheumatism, Particularly Polymyalgia Rheumatica: A Retrospective Study of 222 PET/CT
Year: 2020
Type: article
Study design: Observational Study
Abstract: 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.
Source: Frontiers in Medicine
Authors: Julie Amat, Marion Chanchou, Louis Olagne, Lucie Descamps, Anthime Flaus, Clément Bouvet, Bertrand Barres, Clemence Valla, Ioana Molnar, Arnaud Cougoul, Sylvain Mathieu, Olivier Aumaitre, Martin Soubrier, Antony Kelly, Charles Merlin, Florent Cachin
Language: English
Subfield: Rheumatology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,490
OpenAlex ID: W3049281132
