Model Corrected Blood Input Function to Compute Cerebral FDG Uptake Rates From Dynamic Total-Body PET Images of Rats in vivo
- PMID: 33898476
- PMCID: PMC8058193
- DOI: 10.3389/fmed.2021.618645
Model Corrected Blood Input Function to Compute Cerebral FDG Uptake Rates From Dynamic Total-Body PET Images of Rats in vivo
Abstract
Recently, we developed a three-compartment dual-output model that incorporates spillover (SP) and partial volume (PV) corrections to simultaneously estimate the kinetic parameters and model-corrected blood input function (MCIF) from dynamic 2-[18F] fluoro-2-deoxy-D-glucose positron emission tomography (FDG PET) images of mouse heart in vivo. In this study, we further optimized this model and utilized the estimated MCIF to compute cerebral FDG uptake rates, K i , from dynamic total-body FDG PET images of control Wistar-Kyoto (WKY) rats and compared to those derived from arterial blood sampling in vivo. Dynamic FDG PET scans of WKY rats (n = 5), fasted for 6 h, were performed using the Albira Si Trimodal PET/SPECT/CT imager for 60 min. Arterial blood samples were collected for the entire imaging duration and then fitted to a seven-parameter function. The 60-min list mode PET data, corrected for attenuation, scatter, randoms, and decay, were reconstructed into 23 time bins. A 15-parameter dual-output model with SP and PV corrections was optimized with two cost functions to compute MCIF. A four-parameter compartment model was then used to compute cerebral Ki. The computed area under the curve (AUC) and K i were compared to that derived from arterial blood samples. Experimental and computed AUCs were 1,893.53 ± 195.39 kBq min/cc and 1,792.65 ± 155.84 kBq min/cc, respectively (p = 0.76). Bland-Altman analysis of experimental vs. computed K i for 35 cerebral regions in WKY rats revealed a mean difference of 0.0029 min-1 (~13.5%). Direct (AUC) and indirect (Ki) comparisons of model computations with arterial blood sampling were performed in WKY rats. AUC and the downstream cerebral FDG uptake rates compared well with that obtained using arterial blood samples. Experimental vs. computed cerebral K i for the four super regions including cerebellum, frontal cortex, hippocampus, and striatum indicated no significant differences.
Keywords: Wistar–Kyoto rat; arterial blood sampling; cerebral fluoro-2-deoxy-D-glucose uptake rate; dual output model; dynamic fluoro-2-deoxy-D-glucose positron emission tomography.
Copyright © 2021 Massey, Seshadri, Paul, Mińczuk, Molinos, Li and Kundu.
Conflict of interest statement
CM was employed by company Bruker Biospin. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Figures
Similar articles
-
Non-invasive determination of blood input function to compute rate of myocardial glucose uptake from dynamic FDG PET images of rat heart in vivo: comparative study between the inferior vena cava and the left ventricular blood pool with spill over and partial volume corrections.Phys Med Biol. 2019 Aug 21;64(16):165010. doi: 10.1088/1361-6560/ab3238. Phys Med Biol. 2019. PMID: 31307015 Free PMC article.
-
Spillover and partial-volume correction for image-derived input functions for small-animal 18F-FDG PET studies.J Nucl Med. 2008 Apr;49(4):606-14. doi: 10.2967/jnumed.107.047613. Epub 2008 Mar 14. J Nucl Med. 2008. PMID: 18344438
-
An improved optimization algorithm of the three-compartment model with spillover and partial volume corrections for dynamic FDG PET images of small animal hearts in vivo.Phys Med Biol. 2018 Feb 26;63(5):055003. doi: 10.1088/1361-6560/aaac02. Phys Med Biol. 2018. PMID: 29480159 Free PMC article.
-
Improved derivation of input function in dynamic mouse [18F]FDG PET using bladder radioactivity kinetics.Mol Imaging Biol. 2013 Aug;15(4):486-96. doi: 10.1007/s11307-013-0610-6. Mol Imaging Biol. 2013. PMID: 23322346 Free PMC article.
-
Optimization of a Model Corrected Blood Input Function from Dynamic FDG-PET Images of Small Animal Heart In Vivo.IEEE Trans Nucl Sci. 2013 Oct;60(5):3417-3422. doi: 10.1109/TNS.2013.2269032. IEEE Trans Nucl Sci. 2013. PMID: 24741130 Free PMC article.
Cited by
-
Single time point quantitation of cerebral glucose metabolism by FDG-PET without arterial sampling.EJNMMI Res. 2023 Nov 30;13(1):104. doi: 10.1186/s13550-023-01049-3. EJNMMI Res. 2023. PMID: 38032409 Free PMC article.
-
Microglial activation persists beyond clinical recovery following sport concussion in collegiate athletes.Front Neurol. 2023 Mar 24;14:1127708. doi: 10.3389/fneur.2023.1127708. eCollection 2023. Front Neurol. 2023. PMID: 37034078 Free PMC article.
-
Dynamic FDG-PET demonstration of functional brain abnormalities.Ann Clin Transl Neurol. 2022 Sep;9(9):1487-1497. doi: 10.1002/acn3.51546. Epub 2022 Sep 7. Ann Clin Transl Neurol. 2022. PMID: 36069052 Free PMC article. Review.
-
Dynamic FDG-PET in localization of focal epilepsy: A pilot study.Epilepsy Behav. 2021 Sep;122:108204. doi: 10.1016/j.yebeh.2021.108204. Epub 2021 Jul 23. Epilepsy Behav. 2021. PMID: 34311181 Free PMC article.
References
-
- Huang Q, Massey JC, Mińczuk K, Li J, Kundu BK. Non-invasive determination of blood input function to compute rate of myocardial glucose uptake from dynamic FDG PET images of rat heart in vivo: comparative study between the inferior vena cava and the left ventricular blood pool with spill over and partial volume corrections. Phys Med Biol. (2019) 64:165010. 10.1088/1361-6560/ab3238 - DOI - PMC - PubMed
-
- González AJ, Aguilar A, Conde P, Hernández L, Moliner L, Vidal LF, et al. . A PET design based on SiPM and monolithic LYSO crystals: performance evaluation. IEEE Trans Nucl Sci. (2016) 63:2471–7. 10.1109/TNS.2016.2522179 - DOI
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Miscellaneous
