Human [/sup 123/I]5-I-A-85380 dynamic SPECT studies in normals: kinetic analysis and parametric imaging

[/sup 123/I]5-I-A-85380 ([/sup 123/I]5-IA) is a ligand specific for the /spl alpha/4/spl beta/2 nicotinic acetylcholine receptor (nAChR) subtype. It was reported that distribution volume (DV) is an appropriate measurement for /spl alpha/4/spl beta/2 nAChR density in baboon [/sup 123/I]5-IA dynamic SPECT studies. To evaluate the kinetics obtained from human [/sup 123/I]5-IA dynamic SPECT, three different methods were applied to region of interest (ROI) kinetics analysis as follows: A: a 2-compartment 3-parameters model, B: 3-compartment 5-parameter model, and C: same model as in B but fitting with a constraint of ratio of K/sub 1//k/sub 2/e estimated by fitting occipital kinetics to model in A. The DV was estimated as DV= K/sub 1//k/sub 2/ for A, and DV=(K/sub 1//k/sub 2/)(1+k/sub 3//k/sub 4/) for B and C. Nonlinear least squares fitting using Marquardt algorithm was performed for A-C. Akaike information criterion (AIC) and R/sup 2/ were used for evaluation of fitting results. A linear parametric imaging algorithm derived from model in method A was used for generating images of K/sub 1/ and DV. Four normal human [/sup 123/I]5-IA dynamic studies were evaluated by A-C. In each study, after a bolus of [/sup 123/I]5-IA (5/spl sim/10 mCi, specific activity>10 Ci/umol) was injected intravenously, a dynamic scanning with 20 acquisitions over 6 hour was started immediately on a Trionix TriadXLT scanner. 30-40 arterial plasma samples were taken during the study and HPLC was performed to determine the metabolite-corrected arterial plasma radioactivity as input function. The ROI regions (cerebellum, frontal cortex, occipital cortex, pones, and thalamus) were drawn on co-registered MRI images. Results show that A fits to all ROI kinetics very well (R/sup 2/>0.99), and paired T-test for AIC showed there is no statistical significantly improvement of model fitting from B, C methods. The K/sub 1/ and DV images are of good image quality. Conclusion: A is best for ROI kinetic analysis and parametric imaging for DV and K/sub 1/.

[1]  J M Links,et al.  In vivo imaging of brain nicotinic acetylcholine receptors with 5-[123I]iodo-A-85380 using single photon emission computed tomography. , 1998, Life sciences.

[2]  E. Hoffman,et al.  Noninvasive determination of local cerebral metabolic rate of glucose in man. , 1980, The American journal of physiology.

[3]  D. Irving,et al.  Alteration in nicotine binding sites in Parkinson's disease, Lewy body dementia and Alzheimer's disease: Possible index of early neuropathology , 1995, Neuroscience.

[4]  J. Seibyl,et al.  Measurement of α4β2 nicotinic acetylcholine receptors with [123I]5-I-A-85380 SPECT , 2000 .

[5]  S R Meikle,et al.  In vivo imaging of nicotinic receptor upregulation following chronic (-)-nicotine treatment in baboon using SPECT. , 2001, Nuclear medicine and biology.

[6]  D J Brooks,et al.  Comparison of Methods for Analysis of Clinical [11C]Raclopride Studies , 1996, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[7]  David J. Schlyer,et al.  Graphical Analysis of Reversible Radioligand Binding from Time—Activity Measurements Applied to [N-11C-Methyl]-(−)-Cocaine PET Studies in Human Subjects , 1990, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[8]  Agneta Nordberg,et al.  Neuronal nicotinic receptors in the human brain , 2000, Progress in Neurobiology.

[9]  N. Volkow,et al.  Distribution Volume Ratios without Blood Sampling from Graphical Analysis of PET Data , 1996, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[10]  Yun Zhou,et al.  A New Linear Parametric Imaging Algorithm Derived from a Simplified Reference Tissue Model for Ligand-Receptor Dynamic PET Studies , 2002 .

[11]  A. Nordberg,et al.  Development of ligands for in vivo imaging of cerebral nicotinic receptors , 2000, Behavioural Brain Research.

[12]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[13]  E. Hoffman,et al.  Tomographic measurement of local cerebral glucose metabolic rate in humans with (F‐18)2‐fluoro‐2‐deoxy‐D‐glucose: Validation of method , 1979, Annals of neurology.

[14]  R. D. Schwartz,et al.  Nicotinic cholinergic receptor binding sites in the brain: regulation in vivo. , 1983, Science.

[15]  D E Kuhl,et al.  Compartmental Analysis of [11C]Flumazenil Kinetics for the Estimation of Ligand Transport Rate and Receptor Distribution Using Positron Emission Tomography , 1991, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[16]  Robert B. Innis,et al.  5-Iodo-A-85380, an α4β2 Subtype-Selective Ligand for Nicotinic Acetylcholine Receptors , 2000 .

[17]  D. Mash,et al.  Characterization of l‐[3H]Nicotine Binding in Human Cerebral Cortex: Comparison Between Alzheimer's Disease and the Normal , 1986, Journal of neurochemistry.

[18]  D. Wong,et al.  Synthesis of an I-123 analog of A-85380 and preliminary SPECT imaging of nicotinic receptors in baboon. , 1999, Nuclear medicine and biology.

[19]  D E Kuhl,et al.  In vivo mapping of cholinergic neurons in the human brain using SPECT and IBVM. , 1994, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[20]  C S Patlak,et al.  Graphical Evaluation of Blood-to-Brain Transfer Constants from Multiple-Time Uptake Data , 1983, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[21]  C. Stockmeier,et al.  Increased nicotinic receptors in brains from smokers: membrane binding and autoradiography studies. , 1999, The Journal of pharmacology and experimental therapeutics.

[22]  Yun Zhou,et al.  Linear ridge regression with spatial constraint for generation of parametric images in dynamic positron emission tomography studies , 2001 .

[23]  C. Patlak,et al.  Graphical Evaluation of Blood-to-Brain Transfer Constants from Multiple-Time Uptake Data. Generalizations , 1985, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[24]  E. London,et al.  In vivo studies with [125I]5‐I‐A‐85380, a nicotinic acetylcholine receptor radioligand , 1998, Neuroreport.