Validation of a combined image derived input function and venous sampling approach for the quantification of [18F]GE-179 PET binding in the brain.

Galovic, Marian; Erlandsson, Kjell; Fryer, Tim D; Hong, Young T; Manavaki, Roido; Sari, Hasan; Chetcuti, Sarah; Thomas, Benjamin A; Fisher, Martin; Sephton, Selena; Canales, Roberto; Russell, Joseph J; Sander, Kerstin; Årstad, Erik; Aigbirhio, Franklin I; Groves, Ashley M; Duncan, John S; Thielemans, Kris; Hutton, Brian F; Coles, Jonathan P; Koepp, Matthias J; Gendron, Thibault

doi:10.1016/j.neuroimage.2021.118194

Article (Scientific journals)

Validation of a combined image derived input function and venous sampling approach for the quantification of [18F]GE-179 PET binding in the brain.

Galovic, Marian; Erlandsson, Kjell; Fryer, Tim D et al.

2021 • In NeuroImage, 237, p. 118194

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https://hdl.handle.net/2268/296922

DOI
10.1016/j.neuroimage.2021.118194

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34023451

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Keywords :

Input function; NMDA receptor; Positron emission tomography; Radiopharmaceuticals; Receptors, N-Methyl-D-Aspartate; Adult; Brain Injuries, Traumatic/diagnostic imaging; Brain Injuries, Traumatic/metabolism; Female; Humans; Male; Middle Aged; Neuroimaging/methods; Neuroimaging/standards; Positron-Emission Tomography/methods; Positron-Emission Tomography/standards; Radiopharmaceuticals/pharmacokinetics; Receptors, N-Methyl-D-Aspartate/metabolism; Reproducibility of Results; Veins; Brain Injuries, Traumatic; Neuroimaging; Positron-Emission Tomography; Neurology; Cognitive Neuroscience

Abstract :

[en] Blood-based kinetic analysis of PET data relies on an accurate estimate of the arterial plasma input function (PIF). An alternative to invasive measurements from arterial sampling is an image-derived input function (IDIF). However, an IDIF provides the whole blood radioactivity concentration, rather than the required free tracer radioactivity concentration in plasma. To estimate the tracer PIF, we corrected an IDIF from the carotid artery with estimates of plasma parent fraction (PF) and plasma-to-whole blood (PWB) ratio obtained from five venous samples. We compared the combined IDIF+venous approach to gold standard data from arterial sampling in 10 healthy volunteers undergoing [18F]GE-179 brain PET imaging of the NMDA receptor. Arterial and venous PF and PWB ratio estimates determined from 7 patients with traumatic brain injury (TBI) were also compared to assess the potential effect of medication. There was high agreement between areas under the curves of the estimates of PF (r = 0.99, p<0.001), PWB ratio (r = 0.93, p<0.001), and the PIF (r = 0.92, p<0.001) as well as total distribution volume (VT) in 11 regions across the brain (r = 0.95, p<0.001). IDIF+venous VT had a mean bias of -1.7% and a comparable regional coefficient of variation (arterial: 21.3 ± 2.5%, IDIF+venous: 21.5 ± 2.0%). Simplification of the IDIF+venous method to use only one venous sample provided less accurate VT estimates (mean bias 9.9%; r = 0.71, p<0.001). A version of the method that avoids the need for blood sampling by combining the IDIF with population-based PF and PWB ratio estimates systematically underestimated VT (mean bias -20.9%), and produced VT estimates with a poor correlation to those obtained using arterial data (r = 0.45, p<0.001). Arterial and venous blood data from 7 TBI patients showed high correlations for PF (r = 0.92, p = 0.003) and PWB ratio (r = 0.93, p = 0.003). In conclusion, the IDIF+venous method with five venous samples provides a viable alternative to arterial sampling for quantification of [18F]GE-179 VT.

Disciplines :

Radiology, nuclear medicine & imaging

Author, co-author :

Galovic, Marian; Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland, Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK, MRI Unit, Chalfont Centre for Epilepsy, UK

Erlandsson, Kjell; Institute of Nuclear Medicine, University College London, London, UK

Fryer, Tim D; Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK

Hong, Young T; Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK

Manavaki, Roido; Department of Radiology, University of Cambridge, Cambridge, UK

Sari, Hasan; Institute of Nuclear Medicine, University College London, London, UK, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA

Chetcuti, Sarah; Division of Anaesthesia, Department of Medicine, University of Cambridge, Cambridge, UK

Thomas, Benjamin A; Institute of Nuclear Medicine, University College London, London, UK

Fisher, Martin; Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK

Sephton, Selena; Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK

More authors (12 more)

Language :

English

Title :

Validation of a combined image derived input function and venous sampling approach for the quantification of [18F]GE-179 PET binding in the brain.

Publication date :

15 August 2021

Journal title :

NeuroImage

ISSN :

1053-8119

eISSN :

1095-9572

Publisher :

Academic Press Inc., United States

Volume :

237

Pages :

118194

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://api.elsevier.com/content/article/PII:S1053811921004717?httpAccept=text/xml

Funders :

MRC - Medical Research Council [GB]

Funding text :

JPC & FIA report a UK Medical Research Council (MRC) grant (MRC Industry Collaboration Agreement (MR/K02308X/1)), and MK, JPC, TDF & FIA report a UK MRC grant (Developmental Pathway Funding Scheme (MR/L013215/1)). JPC reports a British Journal of Anaesthesia/Royal College of Anaesthetists grant from the National Institute of Academic Anaesthesia. Other authors have nothing to disclose.This work has been funded by an MRC PET Neuroscience programme grant (Training and Novel Probes Programme in PET Neurochemistry – MR/K02308X/1 ) and by an MRC Developmental Pathway Funding Scheme grant ( MR/L013215/1 ).This work was supported by researchers at the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre. Cambridge University Hospitals NHS Foundation Trust and the University of Cambridge acted as the sponsor for this study, with responsibility for study conduct and management. We thank all the participants for contributing to this study.Data and the MATLAB scripts used in this publication are available upon reasonable request from the authors, whereas a formal data sharing agreement will be required. This work has been funded by an MRC PET Neuroscience programme grant (Training and Novel Probes Programme in PET Neurochemistry ? MR/K02308X/1) and by an MRC Developmental Pathway Funding Scheme grant (MR/L013215/1). JPC & FIA report a UK Medical Research Council (MRC) grant (MRC Industry Collaboration Agreement (MR/K02308X/1)), and MK, JPC, TDF & FIA report a UK MRC grant (Developmental Pathway Funding Scheme (MR/L013215/1)). JPC reports a British Journal of Anaesthesia/Royal College of Anaesthetists grant from the National Institute of Academic Anaesthesia. Other authors have nothing to disclose. This work was supported by researchers at the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre. Cambridge University Hospitals NHS Foundation Trust and the University of Cambridge acted as the sponsor for this study, with responsibility for study conduct and management. We thank all the participants for contributing to this study. The authors thank the staff at GE Healthcare, in particular William Trigg, Sajinder Kaur Luthra and Jo Stevens, for their help and support during this study. This work was undertaken in part at UCL/UCLH which receives support from the NIHR University College London Hospitals Biomedical Research Centre. BDB was also supported by the EPSRC-funded UCL Centre for Doctoral Training in Medical Imaging.This work was undertaken in part at UCL/UCLH which receives support from the NIHR University College London Hospitals Biomedical Research Centre. BDB was also supported by the EPSRC-funded UCL Centre for Doctoral Training in Medical Imaging.

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Bibliography

Bordji, K., Becerril-Ortega, J., Nicole, O., Buisson, A., Activation of extrasynaptic, but not synaptic, NMDA receptors modifies amyloid precursor protein expression pattern and increases amyloid-ß production. J. Neurosci. 30 (2010), 15927–15942, 10.1523/JNEUROSCI.3021-10.2010.
Cardoso, M.J., Modat, M., Wolz, R., Melbourne, A., Cash, D., Rueckert, D., Ourselin, S., Geodesic information flows: spatially-variant graphs and their application to segmentation and fusion. IEEE Trans. Med. Imaging 34 (2015), 1976–1988, 10.1109/TMI.2015.2418298.
Chen, K., Chen, X., Renaut, R., Alexander, G.E., Bandy, D., Guo, H., Reiman, E.M., Characterization of the image-derived carotid artery input function using independent component analysis for the quantitation of [18F] fluorodeoxyglucose positron emission tomography images. Phys. Med. Biol. 52 (2007), 7055–7071, 10.1088/0031-9155/52/23/019.
Cooke, S.F., Bliss, T.V.P., 2006. Plasticity in the human central nervous system. 129, 1659–1673. doi:10.1093/brain/awl082.
Erlandsson, K., Buvat, I., Pretorius, P.H., Thomas, B.A., Hutton, B.F., A review of partial volume correction techniques for emission tomography and their applications in neurology, cardiology and oncology. Phys. Med. Biol. 57 (2012), R119–R159, 10.1088/0031-9155/57/21/R119.
Erlandsson, K., Hutton, B., A novel voxel-based partial volume correction method for single regions of interest. J. Nucl. Med., 55, 2014, 2123 –2123.
Fan, M.M.Y., Raymond, L.A., N-methyl-D-aspartate (NMDA) receptor function and excitotoxicity in Huntington's disease. Prog. Neurobiol. 81 (2007), 272–293, 10.1016/j.pneurobio.2006.11.003.
Feng, D., Huang, S.C., Wang, X., Models for computer simulation studies of input functions for tracer kinetic modeling with positron emission tomography. Int. J. Biomed. Comput. 32 (1993), 95–110, 10.1016/0020-7101(93)90049-c.
Feng, D., Wong, K.P., Wu, C.M., Siu, W.C., A technique for extracting physiological parameters and the required input function simultaneously from PET image measurements: theory and simulation study. IEEE Trans. Inf. Technol. Biomed. 1 (1997), 243–254, 10.1109/4233.681168.
Greuter, H., Lubberink, M., Hendrikse, N.H., van der Veldt, A., Wong, Y., Schuit, R., Windhorst, A., Boellaard, R., Lammertsma, A., Venous versus arterial blood samples for plasma input pharmacokinetic analysis of different radiotracer PET studies. J. Nucl. Med., 52, 2011, 1974 –1974.
Gunn, R.N., Sargent, P.A., Bench, C.J., Rabiner, E.A., Osman, S., Pike, V.W., Hume, S.P., Grasby, P.M., Lammertsma, A.A., Tracer kinetic modeling of the 5-HT1A receptor ligand [carbonyl-11C]WAY-100635 for PET. NeuroImage 8 (1998), 426–440, 10.1006/nimg.1998.0379.
Hahn, A., Nics, L., Baldinger, P., Ungersböck, J., Dolliner, P., Frey, R., Birkfellner, W., Mitterhauser, M., Wadsak, W., Karanikas, G., Kasper, S., Lanzenberger, R., Combining image-derived and venous input functions enables quantification of serotonin-1A receptors with [carbonyl-11C]WAY-100635 independent of arterial sampling. NeuroImage 62 (2012), 199–206, 10.1016/j.neuroimage.2012.04.047.
Jodas, D.S., Pereira, A.S., R S Tavares, J.M., Lumen segmentation in magnetic resonance images of the carotid artery. Comput. Biol. Med. 79 (2016), 233–242, 10.1016/j.compbiomed.2016.10.021.
Kinahan, P.E., Rogers, J.G., Analytic 3D image reconstruction using all detected events. Proceedings of the Nuclear Science and Nuclear Power Systems Symposium, 1988.
Lipton, S.A., Paradigm shift in neuroprotection by NMDA receptor blockade: memantine and beyond. Nat. Rev. Drug Discov. 5 (2006), 160–170, 10.1038/nrd1958.
McGinnity, C.J., Hammers, A., Riaño Barros, D.A., Luthra, S.K., Jones, P.A., Trigg, W., Micallef, C., Symms, M.R., Brooks, D.J., Koepp, M.J., Duncan, J.S., Initial evaluation of 18F-GE-179, a putative PET Tracer for activated N-methyl D-aspartate receptors. J. Nucl. Med. 55 (2014), 423–430, 10.2967/jnumed.113.130641.
McGinnity, C.J., Koepp, M.J., Hammers, A., Riaño Barros, D.A., Pressler, R.M., Luthra, S., Jones, P.A., Trigg, W., Micallef, C., Symms, M.R., Brooks, D.J., Duncan, J.S., NMDA receptor binding in focal epilepsies. J. Neurol. Neurosurg. Psychiatr. 86 (2015), 1150–1157, 10.1136/jnnp-2014-309897.
McGinnity, C.J., Riaño Barros, D.A., Trigg, W., Brooks, D.J., Hinz, R., Duncan, J.S., Koepp, M.J., Hammers, A., Simplifying [18F]GE-179 PET: are both arterial blood sampling and 90-min acquisitions essential?. EJNMMI Res., 8, 2018, 46, 10.1186/s13550-018-0396-2.
Meyer, P.T., Elmenhorst, D., Zilles, K., Bauer, A., Simplified quantification of cerebral A1 adenosine receptors using [18F]CPFPX and PET: analyses based on venous blood sampling. Synapse 55 (2005), 212–223, 10.1002/syn.20113.
R.K.Murrough, J.W., Iosifescu, D.V., Chang, L.C., Jurdi, Al, Green, C.E., Perez, A.M., Iqbal, S., Pillemer, S., Foulkes, A., Shah, A., Charney, D.S., Mathew, S.J., Antidepressant efficacy of ketamine in treatment-resistant major depression: a two-site randomized controlled trial. Am. J. Psychiatry 170 (2013), 1134–1142, 10.1176/appi.ajp.2013.13030392.
Olney, J.W., Newcomer, J.W., Farber, N.B., NMDA receptor hypofunction model of schizophrenia. J. Psychiatr. Res. 33 (1999), 523–533.
Pellock, J.M., Faught, E., Leppik, I.E., Shinnar, S., Zupanc, M.L., Felbamate: consensus of current clinical experience. Epilepsy Res. 71 (2006), 89–101, 10.1016/j.eplepsyres.2006.06.020.
Rothman, S.M., Olney, J.W., Excitotoxicity and the NMDA receptor–still lethal after eight years. Trends Neurosci. 18 (1995), 57–58, 10.1016/0166-2236(95)93869-y.
Sari, H., Erlandsson, K., Law, I., Larsson, H.B., Ourselin, S., Arridge, S., Atkinson, D., Hutton, B.F., Estimation of an image derived input function with MR-defined carotid arteries in FDG-PET human studies using a novel partial volume correction method. J. Cereb. Blood Flow Metab. 37 (2017), 1398–1409, 10.1177/0271678X16656197.
Sari, H., Erlandsson, K., Marner, L., Law, I., Larsson, H.B.W., Thielemans, K., Ourselin, S., Arridge, S., Atkinson, D., Hutton, B.F., Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with 11C-SB201745. EJNMMI Res., 8, 2018, 58, 10.1186/s13550-018-0412-6.
Takagi, S., Takahashi, W., Shinohara, Y., Yasuda, S., Ide, M., Shohtsu, A., Seio, T., Quantitative PET cerebral glucose metabolism esti-mates using a single non-arterialized venous-blood sample. Ann. Nucl. Med. 18 (2004), 297–302, 10.1007/bf02984467.
Thomas, B.A., Cuplov, V., Bousse, A., Mendes, A., Thielemans, K., Hutton, B.F., Erlandsson, K., PETPVC: a toolbox for performing partial volume correction techniques in positron emission tomography. Phys. Med. Biol. 61 (2016), 7975–7993, 10.1088/0031-9155/61/22/7975.
Vibholm, A.K., Landau, A.M., Møller, A., Jacobsen, J., Vang, K., Munk, O.L., Orlowski, D., Sørensen, J.C., Brooks, D.J., NMDA receptor ion channel activation detected in vivo with [18F]GE-179 PET after electrical stimulation of rat hippocampus. J. Cereb. Blood Flow Metab., 2020, 10.1177/0271678X20954928.
Wakita, K., Imahori, Y., Ido, T., Fujii, R., Horii, H., Shimizu, M., Nakajima, S., Mineura, K., Nakamura, T., Kanatsuna, T., Simplification for measuring input function of FDG PET: investigation of 1-point blood sampling method. J. Nucl. Med. 41 (2000), 1484–1490.
Zanotti-Fregonara, P., Chen, K., Liow, J.-.S., Fujita, M., Innis, R.B., Image-derived input function for brain PET studies: many challenges and few opportunities. J. Cereb. Blood Flow Metab. 31 (2011), 1986–1998, 10.1038/jcbfm.2011.107.
Zanotti-Fregonara, P., Liow, J.-.S., Fujita, M., Dusch, E., Zoghbi, S.S., Luong, E., Boellaard, R., Pike, V.W., Comtat, C., Innis, R.B., Im-age-derived input function for human brain using high resolution PET imaging with [C](R)-rolipram and [C]PBR28. PLoS One, 6, 2011, e17056, 10.1371/journal.pone.0017056.
Zanotti-Fregonara, P., Maroy, R., Peyronneau, M.-.A., Trébossen, R., Bottlaender, M., Minimally invasive input function for 2-18F-fluoro-A-85380 brain PET studies. Eur. J. Nucl. Med. Mol. Imaging 39 (2012), 651–659, 10.1007/s00259-011-2004-9.