Tehran University of Medical Sciences

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Harmonization Based on Quantitative Analysis of Standardized Uptake Value Variations Across Pet/Ct Scanners: A Multicenter Phantom Study Publisher Pubmed

Summary: Can harmonizing PET/CT scans improve SUV consistency? Research suggests this method cut variations significantly, enhancing reproducibility while preserving quality. #MedicalImaging #Radiology

Monsef A1, 2 ; Ay MR1, 2 ; Sheikhzadeh P1, 3 ; Geramifar P4 ; Rahmim A5, 6 ; Ghafarian P7, 8
Authors

Source: Nuclear Medicine Communications Published:2022


Abstract

Objectives This study aimed to measure standardized uptake value (SUV) variations across different PET/computed tomography (CT) scanners to harmonize quantification across systems. Methods We acquired images using the National Electrical Manufacturers Association International Electrotechnical Commission phantom from three PET/CT scanners operated using routine imaging protocols at each site. The SUVs of lesions were assessed in the presence of reference values by a digital reference object (DRO) and recommendations by the European Association of Nuclear Medicine (EANM/EARL) to measure inter-site variations. For harmonization, Gaussian filters with tuned full width at half maximum (FWHM) values were applied to images to minimize differences in SUVs between reference and images. Inter-site variation of SUVs was evaluated in both pre- and postharmonization situations. Test-retest analysis was also carried out to evaluate repeatability. Results SUVs from different scanners became significantly more consistent, and inter-site differences decreased for SUVmean, SUVmax and SUVpeak from 17.3, 20.7, and 15.5% to 4.8, 4.7, and 2.7%, respectively, by harmonization (P values <0.05 for all). The values for contrast-to-noise ratio in the smallest lesion of the phantom verified preservation of image quality following harmonization (>2.8%). Conclusions Harmonization significantly lowered variations in SUV measurements across different PET/CT scanners, improving reproducibility while preserving image quality. © 2022 Wolters Kluwer Health, Inc. All rights reserved.