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[18F]FDG PET/CT in Large Vessel Vasculitis: The Impact of Expertise and Confounders on Image Analysis

Academic Article
Publication Date:
2022
Short description:
[18F]FDG PET/CT in Large Vessel Vasculitis: The Impact of Expertise and Confounders on Image Analysis / Antunovic, Lidija; Artesani, Alessia; Coniglio, Michael; Oyen, Wim J. G.; Ciccarelli, Michele; Selmi, Carlo; Chiti, Arturo; Sollini, Martina. - In: DIAGNOSTICS. - ISSN 2075-4418. - 12:11(2022). [10.3390/diagnostics12112717]
abstract:
Background: Diagnosis of vasculitis is challenging. To avoid invasive approaches, clinical guidelines recommend the use of diagnostic imaging. This study aimed at evaluating the diagnostic accuracy of [18F]-fluorodeoxyglucose ([18F]FDG) position emission tomography/computed tomography (PET/CT) in large vessel vasculitis (LVV) and how this is affected by inter-operator variability. Methods: A total of 279 patients who performed [18F]-FDG PET/CT for suspicion of LVV were retrospectively analyzed. We tested the qualitative and semi-quantitative analysis and parameters influencing image quality and interpretation. Exams were evaluated by two readers with different experience and their performance was compared. Results: LVV diagnosis was confirmed in 81 patients. [18F]-FDG PET/CT accuracy was 73% and 67% for the expert reader and less experienced reader, respectively. The expert reader overall performed better than the less experienced one, with higher accuracy in patients with normal BMI (77.3 vs. 63.8%), normal level of glycemia (73.3 vs. 65%), younger age (76.6 vs. 68.2%), and when no therapy was in course at time of imaging (76.7 vs. 66.7%). The diagnostic performance of both readers did not improve using semi-quantitative parameters. Conclusions: We confirmed the appropriateness of the recommended criteria for image acquisition and interpretation, underlining the importance of experience in image interpretation for the optimal diagnostic performance of [18F]FDG PET/CT in vasculitis.
Iris type:
1.1 Articolo in rivista
List of contributors:
Antunovic, Lidija; Artesani, Alessia; Coniglio, Michael; Oyen, Wim J. G.; Ciccarelli, Michele; Selmi, Carlo; Chiti, Arturo; Sollini, Martina
Authors of the University:
CHITI ARTURO
SOLLINI MARTINA
Handle:
https://iris.unisr.it/handle/20.500.11768/140702
Full Text:
https://iris.unisr.it//retrieve/handle/20.500.11768/140702/114188/diagnostics-12-02717.pdf
Published in:
DIAGNOSTICS
Journal
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URL

https://www.mdpi.com/2075-4418/12/11/2717
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