Positron Emission Tomography Imaging in Dementia
Positron Emission Tomography Imaging in Dementia
Positron emission tomography (PET) utilises biologically active molecules in micromolar or nanomolar concentrations that have been labelled with shortlived positron-emitting isotopes. The physical characteristics of the isotopes and the molecular specificity of labelled molecules, combined with the high detection efficacy of modern PET scanners, provide sensitivity for in vivo measurement that is several orders of magnitude higher than with the other imaging techniques. While the very short half-lives of 15O (two minutes) and 11C (20 minutes) limit their use to fully equipped PET centres with a cyclotron and radiopharmaceutical laboratory, 18F-labelled tracers (half-life 110 minutes) can be produced in specialised cyclotron centres for regional distribution to hospitals running a PET scanner only.
Glucose is the main energy supply for the brain. Its metabolism maintains ion gradients and glutamate turnover and is closely coupled to neuronal function at rest and during functional activation.1 Its measurement by 18F-2- fluoro-2-deoxy-D-glucose (FDG) is based on phosphorylation of the tracer by hexokinase, which is the pivotal first step of that metabolic pathway. Typically, PET images are obtained 30–60 minutes after tracer injection, when FDG uptake is approximately proportional to glucose metabolism, and actual measurement times can be as short as five to 10 minutes. Under resting conditions (awake, but without external stimulation), normal grey matter displays two to four times higher glucose metabolism than white matter. There is a moderate reduction of cerebral glucose metabolism with age, mainly affecting the frontal association cortex.2 Significant regional reductions of glucose metabolism indicate impairment of synaptic function, and the technique is therefore applicable to all types of dementia.
There is growing interest in imaging amyloid deposits, the pathological hallmarks of Alzheimer’s disease (AD). There are now several PET tracers for in vivo amyloid imaging that allow longitudinal studies of amyloid deposition to clarify whether amyloid deposition is a cause or consequence in the pathophysiology of AD.3,4 Furthermore, the degeneration of major neurotransmitter systems can be demonstrated in vivo by using appropriate PET tracers. Impairment of the cholinergic and dopaminergic neurotransmission is of particular diagnostic interest. By these means, PET can detect early stages and differentiate between various types of dementia, and also monitor progression and the effect of therapeutic intervention.
- Sokoloff L, Relation between physiological function and energy metabolism in the central nervous system, J Neurochem, 1977;29:13–26.
- Kuhl DE, Metter EJ, Riege WH, Phelps ME, Effects of human aging on patterns of local cerebral glucose utilization determined by the [18F]fluorodeoxyglucose method, J Cereb Blood Flow Metab, 1982;2:163–71.
- Hardy J, Selkoe DJ, The Amyloid Hypothesis of Alzheimer’s Disease: Progress and Problems on the Road to Therapeutics, Science, 2002;297:353–6.
- de la Torre JC, Pathophysiology of neuronal energy crisis in Alzheimer’s disease, Neurodegener Dis, 2008;5:126–32.
- Herholz K, PET studies in dementia, Ann Nucl Med, 2003;17: 79–89.
- Bartzokis G, Lu PH, Mintz J, Human brain myelination and amyloid beta deposition in Alzheimer’s disease, Alzheimers Dement, 2007;3:122–5.
- Minoshima S, Giordani B, Berent S, et al., Metabolic reduction in the posterior cingulate cortex in very early Alzheimer’s disease, Ann Neurol, 1997;42:85–94.
- Gusnard DA, Raichle ME, Raichle ME, Searching for a baseline: functional imaging and the resting human brain, Nat Rev Neurosci, 2001;2:685–94.
- Herholz K, Salmon E, Perani D, et al., Discrimination between Alzheimer Dementia and Controls by Automated Analysis of Multicenter FDG PET, NeuroImage, 2002;17:302–16.
- Burdette JH, Minoshima S, Van der Borght T, et al., Alzheimer disease: improved visual interpretation of PET images by using three-dimensional stereotaxic surface projections, Radiology, 1996;198:837–43.
- Ishii K, Willoch F, Minoshima S, et al., Statistical brain mapping of 18F-FDG PET in Alzheimer’s disease: validation of anatomic standardization for atrophied brains, J Nucl Med, 2001;42: 548–57.
- Azari NP, Pettigrew KD, Schapiro MB, et al., Early detection of Alzheimer's disease: a statistical approach using positron emission tomographic data, J Cereb Blood Flow Metab, 1993;13:438–47.
- Kippenhan JS, Barker WW, Nagel J, et al., Neural-network classification of normal and Alzheimer’s disease subjects using high-resolution and low-resolution PET cameras, J Nucl Med, 1994;35:7–15.
- Higdon R, Foster NL, Koeppe RA, et al., A comparison of classification methods for differentiating fronto-temporal dementia from Alzheimer’s disease using FDG-PET imaging, Stat Med, 2004;23:315–26.
- Ishii K, Kono AK, Sasaki H, et al., Fully automatic diagnostic system for early- and late-onset mild Alzheimer’s disease using FDG PET and 3D-SSP, Eur J Nucl Med Mol Imaging, 2006;33: 575–83.
- Sakamoto S, Ishii K, Sasaki M, et al., Differences in cerebral metabolic impairment between early and late onset types of Alzheimer’s disease, J Neurol Sci, 2002;200:27–32.
- Haense C, Herholz K, Heiss WD, Validation of an automated FDG PET analysis to discriminate patients with Alzheimer’s disease from normal subjects, J Nucl Med, 2008;49(Suppl. 1):34P.
- Mosconi L, Herholz K, Prohovnik I, et al., Metabolic interaction between ApoE genotype and onset age in Alzheimer's disease: implications for brain reserve, J Neurol Neurosurg Psychiatry, 2005;76:15–23.
- Nestor PJ, Caine D, Fryer TD, et al., The topography of metabolic deficits in posterior cortical atrophy (the visual variant of Alzheimer’s disease) with FDG-PET, J Neurol Neurosurg Psychiatry, 2003;74:1521–9.
- Fox NC, Schott JM, Imaging cerebral atrophy: normal ageing to Alzheimer’s disease, Lancet, 2004;363:392–4.
- Meltzer CC, Zubieta JK, Brandt J, et al., Regional hypometabolism in Alzheimer’s disease as measured by positron emission tomography after correction for effects of partial volume averaging, Neurology, 1996;47:454–61.
- Chetelat G, Desgranges B, Landeau B, et al., Direct voxel-based comparison between grey matter hypometabolism and atrophy in Alzheimer’s disease, Brain, 2008;131:60–71.
- Jagust WJ, Friedland RP, Budinger TF, et al., Longitudinal studies of regional cerebral metabolism in Alzheimer’s disease, Neurology, 1988;38:909–12.
- Mielke R, Herholz K, Grond M, et al., Clinical deterioration in probable Alzheimer’s disease correlates with progressive metabolic impairment of association areas, Dementia, 1994;5: 36–41.
- Smith GS, de Leon MJ, George AE, et al., Topography of crosssectional and longitudinal glucose metabolic deficits in Alzheimer's disease. Pathophysiologic implications, Arch Neurol, 1992;49:1142–50.
- Grady CL, Haxby JV, Schlageter NL, et al., Stability of metabolic and neuropsychological asymmetries in dementia of the Alzheimer type, Neurology, 1986;36:1390–92.
- Haxby JV, Grady CL, Koss E, et al., Longitudinal study of cerebral metabolic asymmetries and associated neuropsychological patterns in early dementia of the Alzheimer type, Arch Neurol, 1990;47:753–60.
- Heiss WD, Kessler J, Mielke R, et al., Long-term effects of phosphatidylserine, pyritinol, and cognitive training in Alzheimer’s disease. A neuropsychological, EEG, and PET investigation, Dementia, 1994;5:88–98.
- Kadir A, Andreasen N, Almkvist O, et al., Effect of phenserine treatment on brain functional activity and amyloid in Alzheimer’s disease, Ann Neurol, 2008;63:621–31.
- Alexander GE, Chen K, Pietrini P, et al., Longitudinal PET Evaluation of Cerebral Metabolic Decline in Dementia: A Potential Outcome Measure in Alzheimer’s Disease Treatment Studies, Am J Psychiatry, 2002;159:738–45.
- Hirono N, Hashimoto M, Ishii K, et al., One-year change in cerebral glucose metabolism in patients with Alzheimer’s disease, J Neuropsychiatry Clin Neurosci, 2004;16:488–92.
- Small GW, Mazziotta JC, Collins MT, et al., Apolipoprotein E type 4 allele and cerebral glucose metabolism in relatives at risk for familial Alzheimer disease, JAMA, 1995;273:942–7.
- Reiman EM, Caselli RJ, Yun LS, et al., Preclinical evidence of Alzheimer's disease in persons homozygous for the epsilon 4 allele for apolipoprotein E, N Engl J Med, 1996;334:752–8.
- Reiman EM, Chen K, Alexander GE, et al., Functional brain abnormalities in young adults at genetic risk for late-onset Alzheimer’s dementia, Proc Natl Acad Sci U S A, 2004;101:284–9.
- Small GW, Ercoli LM, Silverman DH, et al., Cerebral metabolic and cognitive decline in persons at genetic risk for Alzheimer’s disease, Proc Natl Acad Sci U S A, 2000;97:6037–42.
- Herholz K, Nordberg A, Salmon E, et al., Impairment of neocortical metabolism predicts progression in Alzheimer’s disease, Dement Geriatr Cogn Disord, 1999;10:494–504.
- Berent S, Giordani B, Foster N, et al., Neuropsychological function and cerebral glucose utilization in isolated memory impairment and Alzheimer’s disease, J Psychiatr Res, 1999;33:7–16.
- Arnaiz E, Jelic V, Almkvist O, et al., Impaired cerebral glucose metabolism and cognitive functioning predict deterioration in mild cognitive impairment, Neuroreport, 2001;12:851–5.
- Chetelat G, Desgranges B, de la Sayette V, et al., Mild cognitive impairment: Can FDG-PET predict who is to rapidly convert to Alzheimer’s disease?, Neurology, 2003;60:1374–7.
- Drzezga A, Grimmer T, Riemenschneider M, et al., Prediction of individual clinical outcome in MCI by means of genetic assessment and (18)F-FDG PET, J Nucl Med, 2005;46:1625–32.
- Anchisi D, Borroni B, Franceschi M, et al., Heterogeneity of brain glucose metabolism in mild cognitive impairment and clinical progression to Alzheimer disease, Arch Neurol, 2005;62:1728–33.
- Heiss WD, Pawlik G, Holthoff V, et al., PET correlates of normal and impaired memory functions, Cerebrovasc Brain Metab Rev, 1992;4:1–27.
- Nestor PJ, Fryer TD, Smielewski P, Hodges JR, Limbic hypometabolism in Alzheimer’s disease and mild cognitive impairment, Ann Neurol, 2003;54:343–51.
- Mosconi L, Tsui WH, DeSanti S, et al. Reduced Hippocampal metabolism in MCI and AD: Automated FDG-PET Image Analysis, Neurology, 2005;64:1860–67.
- de Leon MJ, Convit A, Wolf OT, et al., Prediction of cognitive decline in normal elderly subjects with 2-F-18-fluoro-2-deoxy-Dglucose positron-emission tomography (FDG PET), Proc Natl Acad Sci U S A, 2001;98:10966–71.
- William E, Klunk H, Imaging brain amyloid in Alzheimer’s disease with Pittsburgh Compound-B, Ann Neurol, 2004;55:306–19.
- Price JC, Klunk WE, Lopresti BJ, et al., Kinetic modeling of amyloid binding in humans using PET imaging and Pittsburgh Compound- B, J Cereb Blood Flow Metab, 2005;25:1528–47.
- Edison P, Archer HA, Hinz R, et al., Amyloid, hypometabolism, and cognition in Alzheimer disease: an [11C]PIB and [18F]FDG PET study, Neurology, 2007;68:501–8.
- Kemppainen NM, Aalto S, Wilson IA, et al., Voxel-based analysis of PET amyloid ligand [11C]PIB uptake in Alzheimer disease, Neurology, 2006;67:1575–80.
- Nordberg A, PET imaging of amyloid in Alzheimer’s disease, Lancet Neurol, 2004;3:519–27.
- Engler H, Forsberg A, Almkvist O, et al., Two-year follow-up of amyloid deposition in patients with Alzheimer’s disease, Brain, 2006;129:2856–66.
- Klunk WE, Lopresti B, Nebes RD, et al., Development and Application of beta-Amyloid Imaging Agents in Alzheimer's Disease. In: Herholz K, Perani D, Morris CM (eds), The Dementias: Early Diagnosis and Evaluation, New York: Dekker, 2006.
- Rabinovici GD, Furst AJ, O’Neil JP, et al., 11C-PIB PET imaging in Alzheimer disease and frontotemporal lobar degeneration, Neurology, 2007;68:1205–12.
- Drzezga A, Grimmer T, Henriksen G, et al., Imaging of amyloid plaques and cerebral glucose metabolism in semantic dementia and Alzheimer’s disease, NeuroImage, 2008;39:619–33.
- Forsberg A, Engler H, Almkvist O, et al., PET imaging of amyloid deposition in patients with mild cognitive impairment, Neurobiol Aging, 2008;29:1456–65.
- Aizenstein HJ, Nebes RD, Saxton JA, et al., Amyloid Deposition is Frequent and Often is Not Associated With Significant Cognitive Impairment in The Elderly, Arch Neurol, in press.
- Verhoeff NP, Wilson AA, Takeshita S, et al., In Vivo Imaging of Alzheimer Disease {beta}-Amyloid With [11C]SB-13 PET, Am J Geriatr Psychiatry, 2004;12:584–95.
- Wong D, Rosenberg P, Zhou Y, et al., In vivo imaging of amyloid deposition in Alzheimer’s disease using the novel radioligand [18F] AV-45, J Nucl Med Meeting Abstracts, 2008;49:214P-c.
- Rowe CC, Ackerman U, Browne W, et al., Imaging of amyloid [beta] in Alzheimer’s disease with 18F-BAY94-9172, a novel PET tracer: proof of mechanism, Lancet Neurol, 2008;7:129–35.
- Shoghi-Jadid K, Small GW, Agdeppa ED, et al., Localization of neurofibrillary tangles and beta-amyloid plaques in the brains of living patients with Alzheimer disease, Am J Geriatr Psychiatry, 2002;10:24–35.
- Noda A, Murakami Y, Nishiyama S, et al., Amyloid imaging in aged and young macaques with [11C]PIB and [18F]FDDNP, Synapse, 2008;62:472–5.
- Agdeppa ED, Kepe V, Petri A, et al., In vitro detection of (S)- naproxen and ibuprofen binding to plaques in the Alzheimer's brain using the positron emission tomography molecular imaging probe 2-(1-{6-[(2-[18F]fluoroethyl)(methyl)amino]-2- naphthyl}ethylidene)malononitrile, Neuroscience, 2003;117: 723–30.
- Shin J, Lee SY, Kim SH, et al., Multitracer PET imaging of amyloid plaques and neurofibrillary tangles in Alzheimer’s disease, NeuroImage, 2008;43:236–44.
- Small GW, Kepe V, Ercoli LM, et al., PET of brain amyloid and tau in mild cognitive impairment, N Engl J Med, 2006;355:2652–63.
- Perry EK, Irving D, Kerwin JM, et al., Cholinergic transmitter and neurotrophic activities in Lewy body dementia: similarity to Parkinson’s and distinction from Alzheimer disease, Alzheimer Dis Assoc Disord, 1993;7:69–79.
- Nordberg A, Lundqvist H, Hartvig P, et al., Kinetic analysis of regional (S)(-)11C-nicotine binding in normal and Alzheimer brains—in vivo assessment using positron emission tomography, Alzheimer Dis Assoc Disord, 1995;9:21–7.
- Bottlaender M, Valette H, Roumenov D, et al., Biodistribution and radiation dosimetry of (18)f-fluoro-a-85380 in healthy volunteers, J Nucl Med, 2003;44:596–601.
- Kadir A, Almkvist O, Wall A, et al., PET imaging of cortical 11Cnicotine binding correlates with the cognitive function of attention in Alzheimer’s disease, Psychopharmacology (Berl), 2006;188:509–20.
- Sabri O, Kendziorra K, Wolf H, et al., Acetylcholine receptors in dementia and mild cognitive impairment, Eur J Nucl Med Mol Imaging, 2008;35(Suppl. 1):S30–45.
- Mesulam M, Giacobini E, Neuroanatomy of cholinesterases in the normal human brain and in Alzheimer’s disease. In: Giacobini E (ed.), Cholinesterases and cholinesterase inhibitors, London, UK: Martin Dunitz, 2000:121–37.
- Namba H, Irie T, Fukushi K, Iyo M, In vivo measurement of acetylcholinesterase activity in the brain with a radioactive acetylcholine analog, Brain Research, 1994;667:278–82.
- Kilbourn MR, Snyder SE, Sherman PS, Kuhl DE, In vivo studies of acetylcholinesterase activity using a labeled substrate, n-[C- 11]methylpiperdin-4-yl propionate ([C-11]PMP), Synapse, 1996;22:123–31.
- Kuhl DE, Koeppe RA, Minoshima S, et al., In vivo mapping of cerebral acetylcholinesterase activity in aging and Alzheimer’s disease, Neurology, 1999;52:691–9.
- Iyo M, Namba H, Fukushi K, et al., Measurement of acetylcholinesterase by positron emission tomography in the brains of healthy controls and patients with Alzheimers disease, Lancet, 1997;349:1805–9.
- Herholz K, Bauer B, Wienhard K, et al., In-vivo measurements of regional acetylcholine esterase activity in degenerative dementia: comparison with blood flow and glucose metabolism, J Neural Transm, 2000;12:1457–68.
- Rinne JO, Kaasinen V, Jarvenpaa T, et al., Brain acetylcholinesterase activity in mild cognitive impairment and early Alzheimer’s disease, J Neurol Neurosurg Psychiatry, 2003;74:113–15.
- Haense C, Hohmann C, Kalbe E, et al., Cortical Acetylcholine Esterase Activity in Healthy Controls, Mild Cognitive Impairment and Alzheimer’s Disease, Ann Neurol, 2008;64(Suppl. 12):S42.
- Bohnen NI, Kaufer DI, Hendrickson R, et al., Degree of inhibition of cortical acetylcholinesterase activity and cognitive effects by donepezil treatment in Alzheimer’s disease, J Neurol Neurosurg Psychiatry, 2005;76:315–19.
- Kaasinen V, Nagren K, Jarvenpaa T, et al., Regional effects of donepezil and rivastigmine on cortical acetylcholinesterase activity in Alzheimer’s disease, J Clin Psychopharmacol, 2002;22: 615–20.
- Kadir A, Darreh-Shori T, Almkvist O, et al., PET imaging of the in vivo brain acetylcholinesterase activity and nicotine binding in galantamine-treated patients with AD, Neurobiol Aging, 2008;29:1204–17.
- Snowden J, Neary D, Mann D, Frontotemporal lobar degeneration: clinical and pathological relationships, Acta Neuropathol, 2007;114:31–8.
- Salmon E, Garraux G, Delbeuck X, et al., Predominant ventromedial frontopolar metabolic impairment in frontotemporal dementia, NeuroImage, 2003;20:435–40.
- Diehl J, Grimmer T, Drzezga A, et al., Cerebral metabolic patterns at early stages of frontotemporal dementia and semantic dementia. A PET study, Neurobiol Aging, 2004;25:1051–6.
- Chawluk JB, Mesulam MM, Hurtig H, et al., Slowly progressive aphasia without generalized dementia: studies with positron emission tomography, Ann Neurol, 1986;19:68–74.
- Ishii K, Sakamoto S, Sasaki M, et al., Cerebral glucose metabolism in patients with frontotemporal dementia, J Nucl Med, 1998;39:1875–8.
- Foster NL, Heidebrink JL, Clark CM, et al., FDG-PET improves accuracy in distinguishing frontotemporal dementia and Alzheimer’s disease, Brain, 2007;130:2616–35.
- Hodges JR, Patterson K, Semantic dementia: a unique clinicopathological syndrome, Lancet Neurol, 2007;6:1004–14.
- Zahn R, Juengling F, Bubrowski P, et al., Hemispheric asymmetries of hypometabolism associated with semantic memory impairment in Alzheimer’s disease: a study using positron emission tomography with fluorodeoxyglucose-F18, Psychiatry Res, 2004;132:159–72.
- Desgranges B, Matuszewski V, Piolino P, et al., Anatomical and functional alterations in semantic dementia: a voxel-based MRI and PET study, Neurobiol Aging, 2007;28:1904–13.
- Perneczky R, Diehl-Schmid J, Pohl C, et al., Non-fluent progressive aphasia: cerebral metabolic patterns and brain reserve, Brain Res, 2007;1133:178–85.
- Minoshima S, Foster NL, Sima AA, et al., Alzheimer’s disease versus dementia with Lewy bodies: cerebral metabolic distinction with autopsy confirmation, Ann Neurol, 2001;50:358–65.
- Kono AK, Ishii K, Sofue K, et al., Fully automatic differential diagnosis system for dementia with Lewy bodies and Alzheimer’s disease using FDG-PET and 3D-SSP, Eur J Nucl Med Mol Imaging, 2007;34:1490–97.
- Hu XS, Okamura N, Arai H, et al., 18F-fluorodopa PET study of striatal dopamine uptake in the diagnosis of dementia with lewy bodies, Neurology, 2000;55:1575–7.
- Brooks DJ, Advances in imaging Parkinson’s disease, Curr Opin Neurol, 1997;10:327–31.
- Halldin C, Erixon-Lindroth N, Pauli S, et al., [(11)C]PE2I: a highly selective radioligand for PET examination of the dopamine transporter in monkey and human brain, Eur J Nucl Med Mol Imaging, 2003;30:1220–30.
- Tatsch K, Imaging of the dopaminergic system in differential diagnosis of dementia, Eur J Nucl Med Mol Imaging, 2008; 35(Suppl. 1):S51–7.
- Hilker R, Thomas A, Klein JC, et al., Dementia in Parkinson’s disease: functional imaging of cholinergic and dopaminergic pathways, Neurology, 2005;65:1716–22.
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