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ABSTRACT: Background
Greater access to clinically meaningful data from [18F]-FDG-PET images could be made possible through radiomics. However, the vulnerability of radiomic measurements to changes in image acquisition and reconstruction settings has raised concerns on their reliability in clinical practice.Methods
Using the NEMA-IQ phantom, we evaluated the robustness of [18F]-FDG-PET radiomic features to variations in acquisition duration, reconstruction algorithm, transaxial matrix size, z-axis filtering, Gaussian smoothing, and other reconstruction algorithm-specific settings (number of iterations, subsets, updates, and penalisation factors). Feature robustness was assessed using the coefficient of variation (CV < 10%) and intraclass correlation coefficient (ICC > 0.9). Non-robust
SUBMITTER: Ramlee S
PROVIDER: S-EPMC12543125 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature