Optimizing SUV Analysis: A Multicenter Study on Preclinical FDG-PET/CT Highlights the Impact of Standardization.

Autor: Kuntner C; Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Vienna, Austria. claudia.kuntner@meduniwien.ac.at.; Medical Imaging Cluster (MIC), Medical University of Vienna, Vienna, Austria. claudia.kuntner@meduniwien.ac.at., Alcaide C; University of Edinburgh, Edinburgh, UK., Anestis D; BIOEMTECH, Athens, Greece., Bankstahl JP; Hannover Medical School, Hannover, Germany., Boutin H; Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.; INSERM, UMR 1253, iBrainUniversité de Tours, Tours, France., Brasse D; Institut Pluridisciplinaire Hubert Curien, UMR7178, Université de Strasbourg, CNRS, Strasbourg, France., Elvas F; Molecular Imaging Center Antwerp, University of Antwerpen, Antwerp, Belgium., Forster D; Division of Informatics, Imaging and Data Sciences, Manchester Molecular Imaging Centre, The University of Manchester, Manchester, UK., Rouchota MG; BIOEMTECH, Athens, Greece., Tavares A; University of Edinburgh, Edinburgh, UK., Teuter M; Hannover Medical School, Hannover, Germany., Wanek T; Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Vienna, Austria., Zachhuber L; Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Vienna, Austria., Mannheim JG; Department of Preclinical Imaging and Radiopharmacy Werner Siemens Imaging Center, Eberhard-Karls University Tuebingen, Tuebingen, Germany.; Cluster of Excellence iFIT (EXC 2180) 'Image Guided and Functionally Instructed Tumor Therapies', Tuebingen, Germany.
Jazyk: angličtina
Zdroj: Molecular imaging and biology [Mol Imaging Biol] 2024 Aug; Vol. 26 (4), pp. 668-679. Date of Electronic Publication: 2024 Jun 21.
DOI: 10.1007/s11307-024-01927-9
Abstrakt: Purpose: Preclinical imaging, with translational potential, lacks a standardized method for defining volumes of interest (VOIs), impacting data reproducibility. The aim of this study was to determine the interobserver variability of VOI sizes and standard uptake values (SUV mean and SUV max ) of different organs using the same [ 18 F]FDG-PET and PET/CT datasets analyzed by multiple observers. In addition, the effect of a standardized analysis approach was evaluated.
Procedures: In total, 12 observers (4 beginners and 8 experts) analyzed identical preclinical [ 18 F]FDG-PET-only and PET/CT datasets according to their local default image analysis protocols for multiple organs. Furthermore, a standardized protocol was defined, including detailed information on the respective VOI size and position for multiple organs, and all observers reanalyzed the PET/CT datasets following this protocol.
Results: Without standardization, significant differences in the SUV mean and SUV max were found among the observers. Coregistering CT images with PET images improved the comparability to a limited extent. The introduction of a standardized protocol that details the VOI size and position for multiple organs reduced interobserver variability and enhanced comparability.
Conclusions: The protocol offered clear guidelines and was particularly beneficial for beginners, resulting in improved comparability of SUV mean and SUV max values for various organs. The study suggested that incorporating an additional VOI template could further enhance the comparability of the findings in preclinical imaging analyses.
(© 2024. The Author(s).)
Databáze: MEDLINE
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