Feasibility of Longitudinal Brain PET with Real-Time Arterial Input Function in Rats.
Animals
Arteries
/ diagnostic imaging
Arteriovenous Shunt, Surgical
Blood Glucose
/ analysis
Brain
/ blood supply
Cerebrovascular Circulation
Feasibility Studies
Fluorodeoxyglucose F18
/ pharmacology
Kinetics
Magnetic Resonance Imaging
Male
Neuroimaging
/ methods
Positron-Emission Tomography
/ methods
Rats
Rats, Sprague-Dawley
Reproducibility of Results
Arterial input function
Cerebral metabolic glucose rate
Dynamic PET
Kinetic modeling
Preclinical PET
Journal
Molecular imaging and biology
ISSN: 1860-2002
Titre abrégé: Mol Imaging Biol
Pays: United States
ID NLM: 101125610
Informations de publication
Date de publication:
06 2021
06 2021
Historique:
received:
13
05
2020
accepted:
13
10
2020
revised:
18
09
2020
pubmed:
18
11
2020
medline:
21
1
2022
entrez:
17
11
2020
Statut:
ppublish
Résumé
Preclinical dynamic brain PET studies remain hampered by the limitations related to the measurement of the arterial input function (AIF). In this regard, the use of an arterial-venous shunt is a promising method for the generation of real-time AIFs, but its application in longitudinal studies is still impeded by the cumbersome surgeries and high failure rates. We studied the feasibility and reproducibility of double arterial-venous shunt strategies for conducting longitudinal PET studies with real-time AIFs in rats. We studied the feasibility of double arterial-venous shunts in rats in the right/left inguinal region and evaluated inter-animal and intra-animal AIF reproducibilities. Image-derived input function (IDIF) was also obtained for comparison. Dynamic brain FDG PET studies were conducted to estimate kinetic constants and Cerebral Metabolic Rate of Glucose (CMR We showed that longitudinal AIFs from double arterial-venous shunts can be obtained with very high success rate of the surgeries (88 %). Our results provided highly reproducible AIF measurements with low inter-animal variabilities (11 %) and intra-animal variabilities (5-10 %) that were included into the kinetic models, such that longitudinal rate constants and CMR We have demonstrated the feasibility and high reproducibility of conducting longitudinal AIF measurements and consequently accurate kinetic modeling using arterial shunt method.
Identifiants
pubmed: 33201350
doi: 10.1007/s11307-020-01556-y
pii: 10.1007/s11307-020-01556-y
doi:
Substances chimiques
Blood Glucose
0
Fluorodeoxyglucose F18
0Z5B2CJX4D
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
350-360Références
Sokoloff L, Reivich M, Kennedy C et al (1977) The [14C] deoxyglucose method for the measurement of local cerebral glucose utilization: theory, procedure, and normal values in the conscious and anesthetized albino rat. J Neurochem 28:897–916
doi: 10.1111/j.1471-4159.1977.tb10649.x
Patlak CS, Blasberg RG, Fenstermacher JD (1983) Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. J Cereb Blood Flow Metab 3(1):1–7
doi: 10.1038/jcbfm.1983.1
Alf MF, Martić-Kehl MI, Schibli R, Krämer SD (2013) FDG kinetic modeling in small rodent brain PET: optimization of data acquisition and analysis. Eur J Nucl Med Mol I 3:61
Weber B, Burger C, Biro P, Buck A (2002) A femoral arteriovenous shunt facilitates arterial whole blood sampling in animals. Eur J Nucl Med Mol Imaging 29:319–323
doi: 10.1007/s00259-001-0712-2
Pain F, Lanièce P, Mastrippolito R, Gervais P, Hantraye P, Besret L (2004) Arterial input function measurement without blood sampling using a beta-microprobe in rats. J Nucl Med 45(9):1577–1582
pubmed: 15347727
Fang YH, Muzic RF Jr (2008) Spillover and partial-volume correction for image-derived input functions for small-animal 18F-FDG PET studies. J Nucl Med 49(4):606–614
doi: 10.2967/jnumed.107.047613
Zanotti-Fregonara P, Chen K, Liow JS, Fujita M, Innis RB (2011) Image-derived input function for brain PET studies: many challenges and few opportunities. J Cereb Blood Flow Metab 31(10):1986–1998
doi: 10.1038/jcbfm.2011.107
Wu HM, Sui G, Lee CC, Prins ML, Ladno W, Lin HD et al (2007) In vivo quantitation of glucose metabolism in mice using small-animal PET and a microfluidic device. J Nucl Med 48(5):837–845
doi: 10.2967/jnumed.106.038182
Convert L, Morin-Brassard G, Cadorette J, Archambault M, Bentourkia M, Lecomte R (2007) A new tool for molecular imaging: the microvolumetric beta blood counter. J Nucl Med 48:1197–1206
doi: 10.2967/jnumed.107.042606
Weber B, Spath N, Wyss M et al (2003) Quantitative cerebral blood flow measurements in the rat using a beta-probe and H2 15O. J Cereb Blood Flow Metab 23:1455–1460
doi: 10.1097/01.WCB.0000095799.98378.7D
Alf MF, Wyss MT, Buck A, Weber B, Schibli R, Kramer SD (2013) Quantification of brain glucose metabolism by 18F-FDG PET with real-time arterial and image derived input function in mice. J Nucl Med 54:132–138
doi: 10.2967/jnumed.112.107474
Roehrbacher F, Bankstahl JP, Bankstahl M et al (2015) Development and performance test of an online blood sampling system for determination of the arterial input function in rats. EJNMMI Phys 2:1–19
doi: 10.1186/s40658-014-0106-8
Warnock GI, Aerts J, Bahri MA, Bretin F, Lemaire C, Giacomelli F et al (2014) Evaluation of 18F-UCB-H as a novel PET tracer for synaptic vesicle protein 2A in the brain. J Nucl Med 55(8):1336–1341
doi: 10.2967/jnumed.113.136143
Herde AM, Keller C, Sephton SM, Mu L, Schibli R, Ametamey SM et al (2015) Quantitative positron emission tomography of mGluR5 in rat brain with [(18) F]PSS232 at minimal invasiveness and reduced model complexity. J Neurochem 133(3):330–342
doi: 10.1111/jnc.13001
Kilkenny C, Browne W, Cuthill IC, Emerson M, Altman DG (2010) Animal research: reporting in vivo experiments: the ARRIVE guidelines. Br J Pharmacol 160(7):1577–1579
doi: 10.1111/j.1476-5381.2010.00872.x
Huang Q, Massey JC, Mińczuk K, Li J, Kundu BK (2019) 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 64(16):165010
doi: 10.1088/1361-6560/ab3238
Pain F, Laniece P, Mastrippolito R et al (2000) SIC, an intracerebral radiosensitive probe for in vivo neuropharmacology investigations in small laboratory animals: theoretical considerations and practical characteristics. IEEE Trans Nucl Sci 47:25–32
doi: 10.1109/23.826894
Napieczynska H, Kolb A, Katiyar P, Tonietto M, Ud-Dean M, Stumm R et al (2018) Impact of the arterial input function recording method on kinetic parameters in small-animal PET. J Nucl Med 59(7):1159–1164
doi: 10.2967/jnumed.117.204164
Jespersen B, Knupp L, Northcott CA (2012) Femoral arterial and venous catheterization for blood sampling, drug administration and conscious blood pressure and heart rate measurements. J Vis Exp 59:3496
Huang CC, Wu CH, Huang YY, Tzen KY, Chen SF, Tsai ML, Wu HM (2017) Performing repeated quantitative small-animal pet with an arterial input function is routinely feasible in rats. J Nucl Med 58(4):611–616
doi: 10.2967/jnumed.116.182402
Park M-J, Fung GS, Yamane T, Kaiser F, Fukushima K, Higuchi T (2013) Assessment of partial volume effect in small animal cardiac PET imaging using Monte Carlo simulation. J Nucl Med 54(suppl 2):1638
Kim SJ et al (2008) Kinetic modeling of 3’-Deoxy-3’ -
doi: 10.2967/jnumed.108.053215
Fung EK, Carson RE (2013) Cerebral blood flow with [15O] water PET studies using an image-derived input function and MR-defined carotid centerlines. Phys Med Biol 58(6):1903–1923
doi: 10.1088/0031-9155/58/6/1903
Islam MM, Tsujikawa T, Mori T, Kiyono Y, Okazawa H (2017) Estimation of arterial input by a noninvasive image derived method in brain H
doi: 10.1088/1361-6560/aa6a95
Deidda D, Karakatsanis NA, Robson PM et al (2019) Hybrid PET/MR kernelised expectation maximisation reconstruction for improved image-derived estimation of the input function from the aorta of rabbits. Contrast Media Mol Imaging 2019:3438093
doi: 10.1155/2019/3438093
Lanz B, Poitry-Yamate C, Gruetter R (2014) Image-derived input function from the vena cava for 18F-FDG PET studies in rats and mice. J Nucl Med 55(8):1380–1388
doi: 10.2967/jnumed.113.127381
Thackeray JT, Bankstahl JP, Bengel FM (2015) Impact of image-derived input function and fit time intervals on Patlak quantification of myocardial glucose uptake in mice. J Nucl Med 56(10):1615–1621
doi: 10.2967/jnumed.115.160820