Trending Topic

4 mins

Trending Topic

Developed by Touch
Mark CompleteCompleted
BookmarkBookmarked

Welcome to this issue of touchREVIEWS in Neurology, where we explore significant advances in neurology, cognitive health, and wearable technology in the management of various chronic conditions. This issue brings together a collection of expert perspectives and research that spans innovative therapies, preventive strategies, and case studies, each offering critical insights for clinicians and researchers. […]

Efficacy of Single Photon Emission Computed Tomography in Differentiating Dementia with Lewy Bodies – A Review of Neurotransmitter and Perfusion Imaging

Shirlony Morgan, Zuzana Walker
Share
Facebook
X (formerly Twitter)
LinkedIn
Via Email
Mark CompleteCompleted
BookmarkBookmarked
Copy LinkLink Copied
Download as PDF
Published Online: Jun 4th 2011 European Neurological Review, 2009;4(1):82-86 DOI: http://doi.org/10.17925/ENR.2009.04.01.82
Select a Section…
1

Abstract

Overview

The accuracy of the clinical diagnosis of dementia with Lewy bodies continues to be relatively poor. Several neuroimaging techniques have been used to facilitate a more accurate diagnosis. Thus far, functional neuroimaging has provided the most help. This article concentrates on the use of single photon emission computed tomography (SPECT) and reports on the efficacy data available from studies investigating cerebral perfusion, cardiac scintigraphy and dopaminergic neurotransmission. The results from perfusion studies are inconsistent. Cardiac scintigraphy shows more promise, but it is not yet known whether co-morbid cardiac conditions, which are common in the elderly, will limit the clinical use of this method. The radioligand 123I–FP-CIT binds to dopamine transporters in nigrostriatal nerve terminals and provides a way of assessing the neurodegeneration caused by Lewy body pathology. Abnormal 123I–FP-CIT has been shown to have high sensitivity and specificity in an autopsy study and a large multicentre trial. This article aims to give an overview of the topic.

Keywords

Dementia with Lewy bodies, single photon emission computed tomography (SPECT), functional imaging, perfusion imaging, neurotransmitter imaging, dopamine transporter

2

Article

Dementia with Lewy bodies (DLB) is a common form of dementia. The characteristic features are: progressive dementia particularly affecting attention, visuo-spatial and executive ability; fluctuating cognition; spontaneous parkinsonian symptoms; persistent vivid visual hallucinations; hypersensitivity to neuroleptic medication; and rapid eye movement (REM) sleep behavioural disorder.1 Patients with DLB frequently have mixed pathology, and the presence of Alzheimer’s disease (AD) pathology modifies the clinical features of DLB.2 It is often hard to distinguish DLB from AD clinically during life, and AD is the main differential diagnosis. Clinical diagnostic criteria for DLB3 applied at presentation can fail to identify up to 50% of cases.4 An accurate diagnosis is important for carers in order for them to be aware of the symptomatology of the illness, the course and the prognosis, and also for professionals in order for them to provide appropriate management of motor, cognitive, psychiatric, sleep and autonomic symptoms and to avoid neuroleptic medication, which frequently leads to worsening of parkinsonian symptoms and alterations in consciousness,5 as well as being associated with increased morbidity and mortality.6,7 Furthermore, patients with DLB have a profound cholinergic deficit and may well benefit from treatment with cholinesterase inhibitors. Failure to diagnose DLB affects AD treatment trials, making it more difficult to develop and test drugs that specifically target the different underlying pathologies of DLB and AD.
At present there are several imaging techniques that can improve the identification of DLB during life. Whole-brain atrophy, rate of atrophy over time8 and white matter lesions on magnetic resonance imaging (MRI) are not helpful in differential diagnosis. Hippocampal and medial temporal lobe atrophy can detect differences between AD and DLB at a group level, but have limited sensitivity and therefore utility for individual patients.9–11
Much more promising are techniques that can detect the functional integrity of the brain. This article will concentrate on single photon emission computed tomography (SPECT), which is easily accessible to clinicians. An alternative method, positron emission tomography (PET), is at present mainly available in research centres and therefore plays only a limited role in everyday practice in the majority of countries. SPECT can measure perfusion and assess the neurotransmitter system with a variety of specific ligands, as listed in Table 1.

Dopamine Transporter Imaging

Decreased concentrations of dopamine and dopamine transporters in DLB were first described in histopathological studies.12 Pre-synaptic dopamine transporter (DAT) reduction, particularly in the striatum (caudate and putamen), and changes in post-synaptic D2 receptor binding led to the development of new imaging ligands. Compared with patients with DLB, those with AD have a well-preserved nigrostriatal pathway and therefore no changes in the uptake of specific radiotracers that target this pathway. The significance of the pronounced pre-synaptic dopaminergic deficit in the striatum in DLB compared with AD has been reflected in the revised clinical criteria for the diagnosis of DLB,1 which now include “low dopamine transporter uptake in the basal ganglia demonstrated by SPECT imaging” as a “suggestive feature” for DLB.

Efficacy of Pre-synaptic Dopamine Imaging

Initial semi-quantitative studies with [123I]-2β-carbomethoxy-3β-(4- iodophenyl) tropane (b-CIT) and [123I]-N-(3-fluoropropyl)-2β‚- carbometoxy-3β‚-(4-iodophenyl) nortropane (FP-CIT) demonstrated reduced striatal dopamine transporter binding in DLB compared with AD13–16 and a more marked symmetrical reduction of dopamine transporter compared with early Parkinson’s disease (PD).17,18
At present, the most studied technique for assessing dopaminergic pathways is FP-CIT SPECT. FP-CIT has the advantage of a shorter period of delay between the injection of the ligand and imaging (three to six hours) compared with b-CIT SPECT (18–24 hours; see Figure 1).
O’ Brien et al.19 reported both semi-quantitative and visual analysis of FP-CIT SPECT of a large cohort of 164 subjects (23 DLB, 34 AD, 36 PD dementia [PDD], 38 PD and 33 healthy controls). When comparing AD and DLB, the semi-quantitative analysis had a sensitivity of 78% and specificity of 85%, and visual rating had a sensitivity of 78% and specificity of 94%. However, DAT loss did not provide good diagnostic separation between DLB, PD and PDD.
In a cohort with subsequent autopsy confirmation of diagnosis, FP-CIT SPECT substantially enhanced the accuracy of diagnosis of DLB in comparison with clinical criteria alone.4 The sensitivity of an initial clinical diagnosis of DLB was 75% and the specificity was 42%. The sensitivity for the diagnosis of DLB of an abnormal FP-CIT scan, defined as total (bilateral) posterior putamen binding less than two standard deviations below the mean of controls, was 88%, and the specificity was 100%. Visual assessment of scans had a sensitivity of 88% and specificity of 83%. When an abnormal scan was defined as reduced DAT binding in the posterior putamen on one side, the sensitivity increased to 100% at the expense of some loss of specificity, 92%.
Important data come from a large European multicentre study20 in which participants were scanned with FP-CIT SPECT after a consensus diagnosis was made by a panel of experts. Of the 288 patients included in the efficacy analysis, 88 were diagnosed with probable DLB, 56 with possible DLB and 144 with non-DLB. The scans were visually rated by three independent nuclear medicine specialists. When probable DLB patients were compared with non-DLB patients, the sensitivity of scanning was 77.7% and the specificity was 90.4%. Only 38% of possible DLB cases had an abnormal FP-CIT SPECT image. One-year follow-up of the possible DLB cases showed that FP-CIT SPECT at baseline had a sensitivity of 63% and a specificity of 100% for probable DLB diagnosis.21 These studies are summarised in Table 2.
In a review article, Booji and Kemp22 discussed the observed 10% increase of striatal FP-CIT binding ratios in patients using selective serotonin re-uptake inhibitors (SSRIs) and serotonin and norepinephrine re-uptake inhibitors (SNRIs).23 They considered that this increase is too small to be misinterpreted on a visually rated scan. However, there is a possibility that SSRIs and SNRIs could significantly affect semi-quantitative analysis; this needs to be taken into account in research settings when a semi-quantitative analysis may be performed in addition to visual rating.

Efficacy of Post-synaptic Dopamine Imaging

The only study24 specifically designed to investigate the post-synaptic dopamine D2 neuroreceptor availability in the striatum in DLB used [123I]-iodobenzamide (IBZM) SPECT and showed reduced radioactivity uptake in the caudate and increased activity in the putamen, giving a reduced caudate/putamen ratio. This was a small study and there was overlap between DLB and AD, making it unlikely that 123I–IBZM would be of much use in clinical practice. A study investigating FP-CIT and IBZM SPECT in parkinsonian syndromes25 found no abnormalities of the post-synaptic D2 receptor in six patients who were later diagnosed with DLB. Direct comparisons between these two studies cannot be made as they differ significantly in their aims and methodology.

Cerebral Perfusion Imaging

Perfusion SPECT studies (see Table 3) have assessed regional cerebral blood flow, a marker of brain function, using 99mTc-hexamethylpropylene amine oxime (HMPAO),13,26–29 99mTc-ethyl cysteinate dimer (ECD)13,16,30 or to N-isopropyl-p-[123I] iodoamphetamine (IMP).31–36 Donnemiller et al.,13 in a study of six AD and seven DLB patients, described a “horse-shoe-like pattern” of bilateral parieto-occipital hypoperfusion on SPECT in six out of seven DLB patients compared with only one out of six AD cases. By contrast, the finding of a larger study26 of 20 AD and 20 DLB patients was diffuse cortical hypoperfusion with significant frontal deficits in DLB and no occipital deficit (sensitivity 90% and specificity 80% using a factorial discriminant analysis with 15 perfusion parameters and mini-mental state examination [MMSE] score). However, a later study27 reported occipital hypoperfusion in 15 of 23 DLB patients (65%) compared with only nine of 50 AD cases (18%) (sensitivity 64% and specificity 86% using stepwise discriminant analysis with left occipital perfusion and right temporal perfusion as dependent variables). Other studies have also shown occipital hypoperfusion to be more common in DLB than in AD,16,30,32–36 with varying sensitivities and specificities. A few studies also showed relatively preserved medial temporal perfusion in DLB compared with AD.28,30,32,36 Sato et al.36 reported that DLB patients more frequently have occipital hypoperfusion (16 of 22 DLB patients versus three of 25 AD patients) and also hyperperfusion in striatum/thalamus (18 of 22 DLB patients versus eight of 25 AD patients) compared with AD. Combining these two measures gave good sensitivity of 95% and modest specificity of 65% (see Table 3).
More recently, Kemp et al.29 reported occipital hypoperfusion in only 11 of 39 DLB subjects (28%) and in 14 of 45 non-DLB dementia cases (31%), and concluded that occipital hypoperfusion was not helpful in differentiating DLB from other dementias. A possible explanation for these discrepancies would be the difference in the criteria used to diagnose DLB. Older studies used the 1996 DLB consensus criteria;3 the diagnostic accuracy of these criteria has varied, as evidenced by post mortem studies (sensitivity 22–83% and specificity 79–100%). Kemp et al.29 used FP-CIT SPECT as the gold standard for the diagnosis of DLB, since the diagnostic accuracy of this method has been shown to be superior to that of the 1996 consensus criteria.4,37
Different perfusion studies have generally demonstrated a variety of deficits in DLB. This could be due to differences in methodology, including variations in sample sizes, ligands, scanners and methods of analysis. Particular problems associated with qualitative and semi-quantitative studies include increased subjectivity, poor reproducibility and acquisition of information only in pre-selected regions of interest. The newer statistical brain mapping techniques of statistical parametric mapping (SPM) and 3D stereotactic surface projections (SSP), which allow pixel-by-pixel analysis of cerebral blood flow, result in more objective evaluation of the severity, extent and localisation of regional abnormalities, but have not yet been validated by large multicentre or post mortem studies. Thus, currently the usefulness of perfusion SPECT in DLB diagnosis has not been established.

Cholinergic Receptor Imaging

Acetylcholine has important roles in attention, memory and cognition.38 Changes in cholinergic function have been described in neuropathological studies of DLB.38–42 SPECT radiotracers are now available for muscarinic acetylcholine receptors (123I-quinuclidinylbenzylate) and nicotinic acetylcholine receptors (123I-5IA-85380) and for acetylcholine vesicular transporter, which correlates well with choline acetyltransferase. In DLB, increases in both nicotinic and muscarinic receptor binding in the occipital lobe have been shown with 123I-5IA-8538043 and 123I-quinuclidinyl-benzylate,44 suggesting that this increase could relate to visual hallucinations. In addition, DLB patients had a reduced uptake of 123I-5IA-8538043 in frontal, striatal, temporal and cingulate regions compared with controls.

Myocardial Scintigraphy

Patients with DLB have pronounced cardiovascular autonomic dysfunction due to Lewy body degeneration in the cardiac plexus. Using [123I]-metaiodobenzylguanidine (MIBG) cardiac scintigraphy,45–47 there is reduced cardiac uptake in DLB in comparison with AD even in the absence of autonomic symptoms. This investigation has excellent sensitivity (95–100%) and specificity (87–100%),48–50 is superior to perfusion SPECT in differentiating DLB from AD34 and has been shown to be useful in combination with IMP SPECT in possible DLB cases.51 The main drawback is that abnormal scans are difficult to interpret in the elderly as diseases common in this age group – such as diabetes, myocardial infarction, ischaemic heart disease and cardiomyopathy – can all lead to abnormal scans, thus increasing the risk of a false-positive diagnosis.

Conclusion

In this article we have discussed several imaging techniques available to clinicians to help in the diagnosis of DLB. These techniques are now widely available, but the cost and the exposure to radioactive ligands means that most patients undergo only one scan to facilitate diagnosis.
The most important factors in choosing an investigation are the diagnostic efficacy of the scan, the comfort and wellbeing of the patient and the local availability of a particular method. Studies with HMPAO SPECT looking for occipital hypoperfusion with relative preservation of medial temporal perfusion have not given consistent results. MIBG is a non-invasive technique that has shown promise, but co-morbid medical conditions are likely to lead to abnormal scans and make MIBG more difficult to interpret.
At present, the most studied technique for assessing dopaminergic pathways is FP-CIT SPECT. Following a number of single-centre studies of FP-CIT SPECT using both semi-quantitative and visual analysis, there is now good evidence from an autopsy study and a European multicentre study that FP-CIT SPECT has high sensitivity and specificity for distinguishing probable DLB from non-DLB dementia.4,20 The autopsy study4 is ongoing, and additional results continue to support the published data. One-year follow-up data from the European trial21 also suggest that FP-CIT SPECT is diagnostically helpful in less clinically clear cases of possible DLB. ■

2

References

  1. McKeith IG, Dickson DW, Lowe J, et al., Neurology, 2005;65: 1863–72.
  2. Merdes AR, Hansen LA, Jeste DV, et al., Neurology, 2003;60: 1586–90.
  3. McKeith IG, Galasko D, Kosaka K, et al., Neurology, 1996;47:1113–24.
  4. Walker Z, Jaros E, Walker RW, et al., J Neurol Neurosurg Psychiatry, 2007;78:1176–81.
  5. Swanberg MM, Cummings JL, Drug Saf, 2002;25:511–23.
  6. McKeith I, Fairbairn A, Perry R, et al., BMJ, 1992;305:673–8.
  7. Ballard C, Grace J, McKeith I, Holmes C, Lancet, 1998;351: 1032–3.
  8. O’Brien JT, Paling S, Barber R, et al., Neurology, 2001;56: 1386–8.
  9. Barber R, Scheltens P, Gholkar A, et al., J Neurol Neurosurg Psychiatry, 1999;67:66–72.
  10. Tam CW, Burton EJ, McKeith IG, et al., Neurology, 2005;64: 861–5.
  11. Whitwell JL, Weigand SD, Shiung MM, et al., Brain, 2007;130:708–19.
  12. Piggott MA, Marshall EF, Thomas N, et al., Brain, 1999;122: 1449–68.
  13. Donnemiller E, Heilmann J, Wenning GK, et al., Eur J Nucl Med, 1997;24:320–25.
  14. Walker Z, Costa DC, Ince P, et al., Lancet, 1999;354:646–7.
  15. Walker Z, Costa DC, Walker RW, et al., J Neurol Neurosurg Psychiatry, 2002;73:134–40.
  16. Ceravolo R, Volterrani D, Gambaccini G, et al., Neurol Sci, 2003;24:162–3.
  17. Ransmayr G, Seppi K, Donnemiller E, et al., Eur J Nucl Med, 2001;28:1523–8.
  18. Walker Z, Costa DC, Walker RW, et al., Neurology, 2004;62: 1568–72.
  19. O’Brien JT, Colloby S, Fenwick J, et al., Arch Neurol, 2004;61: 919–25.
  20. McKeith I, O’Brien J, Walker Z, et al., Lancet Neurol, 2007;6: 305–13.
  21. O’Brien JT, McKeith IG, Walker Z, et al., Br J Psychiatry, 2008; in press.
  22. Booij J, Kemp P, Eur J Nucl Med Mol Imaging, 2008;35:424–38.
  23. Shang Y, Gibbs MA, Marek GJ, et al., J Clin Psychopharmacol, 2007;27:71–5.
  24. Walker Z, Costa DC, Janssen AG, et al., Eur J Nucl Med, 1997;24:609–14.
  25. Plotkin M, Amthauer H, Klaffke S, et al., J Neural Transm, 2005;112:677–92.
  26. Defebvre LJ, Leduc V, Duhamel A, et al., J Nucl Med, 1999;40:956–62.
  27. Lobotesis K, Fenwick JD, Phipps A, et al., Neurology, 2001;56:643–9.
  28. Colloby SJ, Fenwick JD, Williams ED, et al., Eur J Nucl Med Mol Imaging, 2002;29:615–22.
  29. Kemp PM, Hoffmann SA, Tossici-Bolt L, et al., Nucl Med Commun, 2007;28:451–6.
  30. Pasquier J, Michel BF, Brenot-Rossi I, et al., Eur J Nucl Med Mol Imaging, 2002;29:1342–8.
  31. Ishii K, Yamaji S, Kitagaki H, et al., Neurology, 1999;53: 413–16.
  32. Mito Y, Yoshida K, Yabe I, et al., Clin Neurol Neurosurg, 2005;107:396–403.
  33. Shimizu S, Hanyu H, Kanetaka H, et al., Dement Geriatr Cogn Disord, 2005;20:25–30.
  34. Hanyu H, Shimizu S, Hirao K, et al., Eur J Nucl Med Mol Imaging, 2006;33:248–53.
  35. Hanyu H, Shimizu S, Hirao K, et al., J Neurol Sci, 2006;250: 97–102.
  36. Sato T, Hanyu H, Hirao K, et al., Eur J Neurol, 2007;14: 1299–1301.
  37. Costa DC, Walker Z, Walker RW, Fontes FR, Mov Disord, 2003;18(Suppl. 7):S34–8, S34–S38.
  38. Volkow ND, Ding YS, Fowler JS, Gatley SJ, Biol Psychiatry, 2001;49:211–20.
  39. Perry EK, Irving D, Kerwin JM, et al., Alzheimer Dis Assoc Disord, 1993;7:69–79.
  40. Perry EK, Morris CM, Court JA, et al., Neuroscience, 1995;64:385–95.
  41. Ballard C, Piggott M, Johnson M, et al., Ann Neurol, 2000;48:868–76.
  42. Tiraboschi P, Hansen LA, Alford M, et al., Neurology, 2000;54:407–11.
  43. O’Brien JT, Colloby SJ, Pakrasi S, et al., Neuroimage, 2008;40:1056–63.
  44. Colloby SJ, Pakrasi S, Firbank MJ, et al., Neuroimage, 2006;33:423–9.
  45. Yoshita M, Taki J, Yamada M, J Neurol Neurosurg Psychiatry, 2001;71:583–8.
  46. Watanabe H, Ieda T, Katayama T, et al., J Neurol Neurosurg Psychiatry, 2001;70:781–3.
  47. Oide T, Tokuda T, Momose M, et al., Intern Med, 2003;42: 686–90.
  48. Yoshita M, Taki J, Yokoyama K, et al., Neurology, 2006;66: 1850–54.
  49. Hanyu H, Shimizu S, Hirao K, et al., Dement Geriatr Cogn Disord, 2006;22:379–84.
  50. Wada-Isoe K, Kitayama M, Nakaso K, Nakashima K, J Neurol Sci, 2007;260:33–7.
  51. Inui Y, Toyama H, Manabe Y, et al., J Nucl Med, 2007;48: 1641–50.
  52. Minoshima S, Frey KA, Koeppe RA, et al., J Nucl Med, 1995;36:1238–48.
  53. Ala TA, Hughes LF, Kyrouac GA, et al., Int J Geriatr Psychiatry, 2002;17:503–9.
3

Article Information

Disclosure

Shirlony Morgan has received radiopharmaceuticals free of charge for a research project from GE Healthcare. Zuzana Walker has received consultancy payments from GE Healthcare and Bayer Schering Pharma AG and reimbursement for travel expenses for a conference from GE Healthcare.

Correspondence

Zuzana Walker, St Margaret’s Hospital, The Plain, Epping, Essex, CM16 6TN, UK. E: z.walker@ucl.ac.uk

Received

2009-11-06T00:00:00

4

Further Resources

Share
Facebook
X (formerly Twitter)
LinkedIn
Via Email
Mark CompleteCompleted
BookmarkBookmarked
Copy LinkLink Copied
Download as PDF
Close Popup