Comparative test-retest variability of outcome parameters derived from brain [ ¹⁸F]FDG PET studies in non-human primates

Abstract

Introduction

Knowledge of the repeatability of quantitative parameters derived from [ ¹⁸F]FDG PET images is essential to define the group size and allow correct interpretation. Here we tested repeatability and accuracy of different [ ¹⁸F]FDG absolute and relative quantification parameters in a standardized preclinical setup in nonhuman primates (NHP).

Material and methods

Repeated brain [ ¹⁸F]FDG scans were performed in 6 healthy NHP under controlled experimental factors likely to account for variability. Regional cerebral metabolic rate of glucose (CMRglu) was calculated using a Patlak plot with blood input function Semi-quantitative approaches measuring standard uptake values (SUV, SUV×glycemia and SUVR (SUV Ratio) using the pons or cerebellum as a reference region) were considered. Test-retest variability of all quantification parameters were compared in different brain regions in terms of absolute variability and intra-and-inter-subject variabilities. In an independent [ ¹⁸F]FDG PET experiment, robustness of these parameters was evaluated in 4 naive NHP.

Results

Experimental conditions (injected dose, body weight, animal temperature) were the same at both imaging sessions (p >0.4). No significant difference in the [ ¹⁸F]FDG quantification parameters was found between test and retest sessions. Absolute variability of CMRglu, SUV, SUV×glycemia and normalized SUV ranged from 25 to 43%, 16 to 21%, 23 to 28%, and 7 to 14%, respectively. Intra-subject variability largely explained the absolute variability of all quantitative parameters. They were all significantly correlated to each other and they were all robust. Arterial and venous glycemia were highly correlated (r = 0.9691; p<0.0001).

Conclusion

[ ¹⁸F]FDG test-retest studies in NHP protocols need to be conducted under well-standardized experimental conditions to assess and select the most reliable and reproducible quantification approach. Furthermore, the choice of the quantification parameter has to account for the transversal or follow-up study design. If pons and cerebellum regions are not affected, non-invasive SUVR is the most favorable approach for both designs.