PT - JOURNAL ARTICLE AU - Bartlett, Elizabeth A. AU - Lesanpezeshki, Mohammad AU - Anishchenko, Sergey AU - Shkolnik, Ilia AU - Ogden, R. Todd AU - Mann, J. John AU - Beylin, David AU - Miller, Jeffrey M. AU - Zanderigo, Francesca TI - Dynamic Human Brain Imaging with a Portable PET Camera: Comparison to a Standard Scanner AID - 10.2967/jnumed.122.265309 DP - 2024 Feb 01 TA - Journal of Nuclear Medicine PG - 320--326 VI - 65 IP - 2 4099 - http://jnm.snmjournals.org/content/65/2/320.short 4100 - http://jnm.snmjournals.org/content/65/2/320.full SO - J Nucl Med2024 Feb 01; 65 AB - Portable, cost-effective PET cameras can radically expand the applicability of PET. We present here a within-participant comparison of fully quantified [18F]FDG dynamic scans in healthy volunteers using the standard Biograph mCT scanner and portable CerePET scanner. Methods: Each of 20 healthy volunteers underwent dynamic [18F]FDG imaging with both scanners (1–154 d apart) and concurrent arterial blood sampling. Tracer SUV, net influx rate (Ki), and the corresponding cerebral metabolic rate of glucose (CMRglu) were quantified at regional and voxel levels. Results: At the regional level, CerePET outcome measure estimates within participants robustly correlated with Biograph mCT estimates in the neocortex, wherein the average Pearson correlation coefficients across participants ± SD were 0.83 ± 0.07 (SUV) and 0.85 ± 0.08 (Ki and CMRglu). There was also strong agreement between CerePET and Biograph mCT estimates, wherein the average regression slopes across participants were 0.84 ± 0.17 (SUV), 0.83 ± 0.17 (Ki), and 0.85 ± 0.18 (CMRglu). There was similar bias across participants but higher correlation and less variability in subcortical regions than in cortical regions. Pearson correlation coefficients for subcortical regions equaled 0.97 ± 0.02 (SUV) and 0.97 ± 0.03 (Ki and CMRglu), and average regression slopes equaled 0.79 ± 0.14 (SUV), 0.83 ± 0.11 (Ki), and 0.86 ± 0.11 (CMRglu). In voxelwise assessment, CerePET and Biograph mCT estimates across outcome measures were significantly different only in a cluster of left frontal white matter. Conclusion: Our results indicate robust correlation and agreement between semi- and fully quantitative brain glucose metabolism measurements from portable CerePET and standard Biograph mCT scanners. The results obtained with a portable PET scanner in this comparison in humans require follow-up but lend confidence to the feasibility of more flexible and portable brain imaging with PET.