Comparison and validation of FDG-PET/CT scores for polymyalgia rheumatica
Autor: | Nynke Westerdijk, Maria Sandovici, Pieter H Nienhuis, Elisabeth Brouwer, Kornelis S M van der Geest, Yannick van Sleen, Riemer H. J. A. Slart, Andor W. J. M. Glaudemans |
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Přispěvatelé: | Translational Immunology Groningen (TRIGR), Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Cardiovascular Centre (CVC) |
Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: |
Adult
Male 030218 nuclear medicine & medical imaging Polymyalgia rheumatica 03 medical and health sciences Visual grading 0302 clinical medicine Rheumatology Fluorodeoxyglucose F18 Positron Emission Tomography Computed Tomography medicine Humans Pharmacology (medical) Aged Retrospective Studies Aged 80 and over 030203 arthritis & rheumatology PET-CT Receiver operating characteristic business.industry Area under the curve Retrospective cohort study Middle Aged medicine.disease Polymyalgia Rheumatica Case-Control Studies Clinical diagnosis Female Fdg pet ct Nuclear medicine business |
Zdroj: | Rheumatology, 61(3). Oxford University Press |
ISSN: | 1462-0324 |
Popis: | ObjectivesTo compare and validate the diagnostic accuracy of fluorodeoxyglucose (FDG)-PET/CT scores for PMR; and to explore their association with clinical factors.MethodsThis retrospective study included 39 consecutive patients diagnosed with PMR and 19 PMR comparators. The final clinical diagnosis was established after 6 months follow-up. Patients underwent FDG-PET/CT prior to glucocorticoid treatment. Visual grading of FDG uptake was performed at 30 anatomic sites. Three FDG-PET/CT scores (the Leuven Score, two Besançon Scores) and two algorithms (the Saint-Etienne and Heidelberg Algorithms) were investigated. Receiver operating characteristic (ROC) analysis with area under the curve (AUC) was performed. Diagnostic accuracy was assessed at predefined cut-off points.ResultsAll three FDG-PET/CT scores showed high diagnostic accuracy for a clinical diagnosis of PMR in the ROC analysis (AUC 0.889–0.914). The Leuven Score provided a sensitivity of 89.7% and specificity of 84.2% at its predefined cut-off point. A simplified Leuven Score showed similar diagnostic accuracy to that of the original score. The Besançon Scores showed limited specificity at their predefined cut-off points (i.e. 47.4% and 63.2%), while ROC analysis suggested that substantially higher cut-off points are needed for these scores. The Heidelberg and Saint-Etienne Algorithms demonstrated high sensitivity, but lower specificity (i.e. 78.9% and 42.1%, respectively) for PMR. Female sex and presence of large-vessel vasculitis were associated with lower FDG-PET/CT scores in patients with PMR.ConclusionThe Leuven Score showed the highest diagnostic utility for PMR. A modified, concise version of the Leuven Score provided similar diagnostic accuracy to that of the original score. |
Databáze: | OpenAIRE |
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