Literature DB >> 19585954

Imaging in Alzheimer's disease.

Philip Scheltens1.   

Abstract

Neuroimaging in the early differential diagnosis of dementia has gained considerable interest over the last decade. From being used for exclusive purposes only, neuroimaging is now in the forefront of aiding in the diagnosis of Alzheimer's disease (AD), frontotemporal dementia, vascular dementia, and and dementia with Lewy bodies (DLB). With the exception of dopamine transporter single photon-emission computed tomography imaging in DLB, imaging has not yet been incorporated into the diagnostic criteria for the various dementia syndromes, but that will soon change. The recently formulated research criteria for early AD recently formulated by Dubois et al explicitly mention magnetic resonance imaging and positron emission tomography for AD, and are an example of a new diagnostic process developing. In this review, the various imaging techniques will be highlighted, with an emphasis on their ability to diagnose Alzheimer's disease and separate it from other entities.

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Year:  2009        PMID: 19585954      PMCID: PMC3181915     

Source DB:  PubMed          Journal:  Dialogues Clin Neurosci        ISSN: 1294-8322            Impact factor:   5.986


Alzheimer's Disease (AD) is the epidemic of this century. All research efforts should be combined to find a cure for this devastating disease. Even postponing the onset of the disease by 5 years will halve its prevalence. Delay of institutional care will greatly diminish costs for society. One of the key elements in finding a new cure is being able to diagnose AD in its earliest form, ideally before symptoms occur. For this, neuroimaging already plays an important role, and this role will only increase in the coming years.

Clinical findings

Typically, AD is characterized by an insidious onset of cognitive decline, starting with deficits in episodic memory. Patients and their families complain, for example, of forgetting recent personal and family events, losing items around the house, and repetitive questioning. As the disease progresses, other deficits, such as aphasia, apraxia, agnosia, visuospatial difficulties, and executive dysfunction, arise gradually. A simple test that relies on visuospatial and executive abilities is the clock-drawing test, of which a few examples are given in an image of AD, avant la lettre. Psychological and behavioral problems such as mood disorders, psychosis, agitation, and sleep disorders occur more frequently as the disease progresses. The patient becomes increasingly dependent on others. Clinical diagnosis is made using criteria, of which the McKhann criteria published in 1984[1] are the most widely validated and used. The criteria discern three categories of certainty: definite AD (established by postmortem or biopsy), probable AD (Table I) , and possible AD (when there are other explanations for the cognitive syndrome that are as likely). The average survival in AD is typically about 8 to 13 years from the onset of symptoms. Since the publication of the NINCDS-ADRDA criteria in 1984, the elucidation of the biological basis of AD has advanced inexorably, allowing a better understanding of the disease process. The clinical phenotype of AD is no longer described in exclusive terms, but can be characterized more definitively on a phenotypic basis. Distinctive markers of the disease are now recognized, including structural brain changes on magnetic resonance imaging (MRI) with early and extensive involvement of the medial temporal lobe, molecular neuroimaging changes on positron emission tomography (PET) with hypometabolism or hypoperfusion in temporoparietal areas, and changes in cerebrospinal fluid (CSF) biomarkers. A driving force behind this emerging identity of AD has been the intense research interest in characterizing the earliest stages of AD that predate the crossing of the dementia threshold, defined by functional disability. From this, a need was felt to identify prodromal AD that must be distinguished within the broad and heterogeneous state of cognitive functioning that falls outside normal aging described by a wide range of nosological terms, including Age-Associated Memory Impairment, Age-Related Cognitive Decline, Age-Associated Cognitive Decline, Mild Cognitive Disorder, Mild Neurocognitive Disorder, Cognitively Impaired Not Demented, and Mild Cognitive Impairment (MCI). This latter designation of MCI has been the most widely used diagnostic label referring to individuals who have subjective memory and/or cognitive symptoms, objective memory and/or cognitive impairment, and whose activities of daily living are considered to be generally normal. Progression to clinically diagnosable dementia occurs at a higher rate from MCI than from normal, but is clearly not the invariable clinical outcome at follow-up. A more refined definition of AD is then required, to reliably identify individuals with the disease at its earliest stages. A large group of European and US investigators has formulated new criteria for this earliest stage of AD, starting from the presentation with a memory complaint in typical AD and adding biomarker information from MRI, PET, or CSF or genetic confirmation.[2] The proposed criteria are detailed elsewhere in this issue (p 135). Besides the typical neuropsychological profile of AD presenting with early memory deficits as mentioned above, there is evidence from clinico-neuropathological studies that AD patients may present with different neuropsychological profiles. These atypical variants of AD suggest that the distribution of neuropathological changes rather than the nature of the disease are reflected in the clinical syndrome, and that in clinical practice, the diagnosis of AD should be considered as a diagnosis in a broad range of focal cognitive syndromes. Of note, these atypical presentations are not captured in the new research criteria,[2] which is acknowledged in the article, but could mean that a substantial number of patients will not be included in research projects. In Table II some of the most striking atypical presentations are mentioned.

Differential diagnosis

Even when a patient fulfils clinical criteria as mentioned in the previous paragraph, there is still a chance that the patient has in fact a different underlying pathological substrate. Some clinical features may hint at a different neuropathological substrate and render the clinical diagnosis of AD less likely. In Table III these clinical features, or “red flags,” are listed, with the other diagnostic considerations listed alongside.

Neuroimaging

Computed tomography and and magnetic resonance imaging

The microscopic histological changes in the neurodegenerative diseases are inevitably associated with progressive regional and global brain atrophy, which may be assessed in vivo using MRI. In AD, focal atrophy in the medial temporal lobe region, including the hippocampus, has been the focus of extensive study. It reflects the typical pattern of progression of neuropathology, spreading from the entorhinal cortex and hippocampus to the association cortices, as described by Braak and Braak.[4] Neuropathological studies have shown that hippocampal volumes, as measured using MRI, correlate well with the neuropathological burden at postmortem. Many studies initially using computed tomography (CT) and later MRI and more recently again using multislice CT have assessed the diagnostic value of hippocampal atrophy for AD. In a meta-analysis of studies using visual and linear measurements of medial temporal lobe atrophy (MTA) on MRI, the overall sensitivity and specificity for detection of AD compared with controls was estimated to be 85% and 88%, respectively.[5] In clinical practice simple visual rating scales estimating hippocampal atrophy have proven to be useful. Many authors have designed these scales, and as long as volumetry lacks standardization and operationalization between laboratories and clinics, these scales will be around for some time. A striking example of medial temporal lobe atrophy is shown in In clinical practice evaluation of the pattern of atrophy of the entire brain should be taken into account, rather than an isolated evaluation of the medial temporal lobe. Usually, AD is characterized by global atrophy with prominent atrophy of the medial temporal lobe. However, atypical forms of AD have been described with prominent posterior atrophy, especially prevalent among younger AD patients (Figure 3). This entity has also been designated as posterior cortical atrophy, but many studies have shown that AD pathology is most often present. This absence of hippocampal atrophy is one of the conspicuous findings in AD one can encounter. Other findings and their associated proposed alternative diagnoses are listed in Table IV.
Figure 3.

AD patient with early onset (age 51). On the left pronounced parietal and posterior cingulate atrophy is seen, while in the right panel a coronal cut of the same patient shows an intact medial temporal lobe.

Serial ME imaging

Besides the existence of regional atrophy, the most important structural imaging feature of AD is progression of atrophy. A yearly decline in hippocampal volume approximately 2.5 times greater in patients with AD than in normal aged subjects is reported, and a relationship exists between memory loss and hippocampal damage across the spectrum from normal aging to dementia. Neuroanatomical changes over time may be too mild, diffuse, or topographically complex to be detected by simple visual inspection, or even with manually traced measurements of regions of interest. New serial volumetric imaging techniques developed in the last few years represent an added value to identify subtle structural brain changes, which have brought extensive neocortical changes to the fore, extending well beyond the medial temporal lobe.[6]

Vascular changes

Besides atrophy, cerebrovascular pathology has been associated with AD, especially in the late onset form. As such, overlap with vascular dementia (VaD) may occur and patients may actually fulfil criteria for both AD and VaD. Unfortunately, no operational criteria for so-called mixed dementia exist, so it is left to the judgement of the clinician, which label fits best with the clinical picture of the patient. Further, use of PET or CSF may help to tease out the relevant pathologies. In AD most often signs of small-vessel disease are present on MRI in the form of white matter hyperintensities (WMFI), lacunar infarcts (lacunes) ( and microbleeds ( Microbleeds have been associated with amyloid angiopathy, but their clinical relevance is still uncertain.

Functional (molecular) imaging

Positron emission tomography

Brain metabolism can be studied using PET. Changes in brain metabolism may precede structural brain changes. Glucose metabolism can be visualized using the metabolic tracer [18F]fluorodeoxyglucose (FDG). In AD, temporal, parietal and most notably posterior cingular hypometabolism is found, discriminating AD patients from controls with good discriminatory power (sensitivity and specificity in the range of 85% to 90%, ( In current clinical guidelines routine PET is not advised, since the added value over clinical diagnosis and structural imaging has not been demonstrated extensively.

Detecting amyloid in vivo using PET

An exciting novel application of PET is the in-vivo imaging of amyloid. The amyloid β protein is considered essential to the pathogenesis of AD, as it is the main constituent of neuritic plaques - one of the neuropathological hallmarks of AD. After years of preclinical research, several amyloid-imaging tracers have been introduced recently.[17],18 2-(1-{6-[(2-F-fluoroethyl)(melhyl)amino]-2-naphtyl}ethylidene)malo nitrile) (18F-FDDNP) and N-methyl-11C-2-(4'-methylaminophenyl)-6-hydroxy benzothiazole (11C-PIB) have been studied most extensively. Both tracers bind with nanomolar affinity to amyloid: KD of 18F-FDDNP and 11C-PIB are 0.75 and 1-2 nM, respectively.[7-9] Both tracers enter the brain in amounts sufficient for imaging with PET ( Indeed, the first proof of concept studies of 11C-PIB and 18F-FFDNP indicated that AD patients showed increased retention of these tracers compared with controls in areas known to contain large amounts of amyloid deposits. [7]-[9] However, the specific binding component of 11C-PIB is almost ninefold higher than that of 18F-FFDNP and the latter has substantial overlap with binding in controls. As such, identification of pathological amyloid load on an individual basis is possible with 11C-PIB but will prove to be difficult with 18F-FFDNP, limiting its clinical applicability.[10] Although the specific binding of 11C-PIB has an excellent effect size in AD patients, the clinical use of 11C-PIB is hampered by the short half-life of the radionuclide nC. As an alternative, 18F-PIB is currently undergoing clinical trials, and first results look promising. The longer halflife of 18F-PIB (110 minutes) compared with 11C-PIB (20 minutes) enables studies at PET centers without an onsite cyclotron, greatly increasing its clinical value. In addition, new 18F-labeled ligands for amyloid imaging have been published, such as 18F-BAY94-917211, which also have a good effect size and may become available for clinical use within the coming years. In vivo amyloid imaging may considerably add to our understanding of the underlying pathophysiological mechanisms of AD. Furthermore, imaging of amyloid may prove to be a sensitive diagnostic marker, and enable prognoses in the earliest stages of formation of neuropathology.[12]-[13] It should be noted, however, that amyloid deposition is not exclusively confined to AD, and also occurs in dementia with Lewy bodies (DLB) and congophylic amyloid angiopathy (CAA).[14]

Single photon emission tomography

Using single-photon emission computed tomography (SPECT) one is able to get an impression of the regional cerebral blood flow. The most widely used tracer is “TcHMPAO. In typical AD cases a pattern resembling the one seen on PET is seen: bilateral temporoparietal hypoperfusion. The application of SPECT in clinical routine has been hampered by false-positive findings and insufficient added value over MRI. More promising and partly included in the routine clinical setting are neuroreceptor studies using 123ioflupane(IFP)-CIT (DAT-scan) which allows visualization of the degeneration of the nigrostriatal dopaminergic neurons. Scintigraphically it allows the distinction between patients with essential tremor and patients with Parkinson's disease or PSP and MSA. In dementia the distinction between AD and DLB may be relevant, especially when there are no extrapyramidal features. For this, the use of DAT is extremely helpful, showing abnormal findings in DLB and normal findings in AD,[15,16] being superior to blood flow imaging with HMPAO-SPECT. A 123IIBZM-SPECT shows the integrity of the postsynaptic dopamine receptor. It mayhelp in the distinction between idiopathic Parkinson's disease and diseases with parkinsonism like PSP and MSA, although with low accuracy.[17]

Conclusion

Neuroimaging is no longer optional in diagnosing the underlying disease in dementia. Structural and functional imaging techniques have evolved over time in terms of resolution, availability, and costs. Imaging should always be used in conjunction with the clinical findings and never on its own. Some images are, however, diagnostically so evident that they often “make the case,” for instance in SD and CBD. By far, the evidence for hippocampal atrophy in AD exceeds that of the other imaging modalities, probably closely followed by DAT scanning for Parkinonistic disorders like DLB. Clinical imaging findings are shown in Table V. The developments in molecular imaging are moving at such a high speed that amyloid imaging will not take long before entering the clinical arena. C-PIB, but maybe even earlier a fluoride version of PIB or 18F-BAY94-9172, are the most likely candidates lor this. Using all these techniques, we are slowly entering the phase in which it will be possible to diagnose AD before dementia occurs.
Table I.

National Institute of Neurological and Communicative Disorders and Stroke - Alzheimer's Disease and Related Disorders Association (now Alzheimer's Association) - NINCDS-ADRDA - criteria for probable Alzheimer's disease.

1. Dementia established by clinical examination and confirmed by neuropsychological tests
2. Deficits in two or more areas of cognition, including memory impairment
3. Progressive worsening of memory and other cognitive functions
4. No disturbances ages 40 and 90
6. Absence of systemic disorders or other brain disease that in and of themselves could account for the progressive deficits in memory and cognition
Table II.

Atypical presentations of Alzheimer's disease.

• Balint's like syndrome (optic ataxia, simultanagnosia, optic apraxia)
• Aperceptive visual agnosia
• Fluent or nonfluent aphasia
• Limb apraxia
• Visual disorientation and navigation problems
• Behavioral disturbances resembling frontotemporal dementia
Table III.

Clinical red flags and alternative diagnostic considerations. (See list of abbreviations at the beginning of this article) Modified from ref 3: Kawas CH. Clinical practice. Early Alzheimer's disease. N Engl J Med. 2003;349:1056-1063. Copyright © Massachusetts Medical Society 2003

Red flagAlternative diagonosis
Abrupt onsetVaD
Stepwise deteriorationVaD
Prominent behavioral changesTFD, VaD
Profound apathyTFD, VaD
Prominent aphasiaSD, PA, VaD
Progressive gait disorderVaD, NPH
Prominent fluctuations in level
-of consciousnessDelirium due to infection, medications, or other causes
-or cognitive abilitiesDLB, Temporal lobe epilepsy, OSAS, metabolic disturbances
Hallucinations or delusionsDelirium due to infection, medications, or other causes, DLB
Frequent fallsDLB
Extrapyramidal sings or gait problemsPSP, DLB, Parkinsonian syndromes, VaD
Rapid declineCJD, DLB
Asymmetry in clinical singsCBD
Eye-movement abnormalitiesPSP, Wernicke's encephalopathy
Table IV.

Conspicuous MRI/CT findings in patients suspected of having AD. (See list of abbreviations at the beginning of this article)

FindingsConsider alternative diagnoses
No hippocampal atrophyNormal aging; MCI, FTD, PSP, CBD
Unilateral hippocampal atrophySD
Extreme hippocampal atrophySD; argyrophilic grain disease
Abundant small-vessel diseaseVaD; CAA; amyloid angiopathy
Unilateral cerebral atrophyCBD
No abnormalitiesNormal aging; early stage AD
Striking asymmetry temporal regionSD, PA
Table V.

Neuroimaging in AD: modalities and typical findings.=, modalities equally effective; >, one superior over the other. (See list of abbreviations at the beginning of this article)

OptionModalityResult
Rule out structural lesionCT+MRITumor, hydrocephalus, subdural hematoma
Hippocampa atraphyMRI>CTSymmetric atrophy; slight asymmetry sometimes
Cerebral atrophyMRI>CTBiparietal atrophy; precuneus atrophy
White matter changesMRI>CTNone to moderate changes, symmetric, frontal>parietal
MicrobleedsMRINone to many, usually lobar
LacunesMRI>CTNone to a few, most often in subcortical white matter or basal ganglia
HypometabolismFDG-PETTemporal, parietal, postcingular
HypoperfusionSPECT=PETBiparietotemporal
Amyloid plaquesPIB-PET>FDDNP PETBinding in frontal, temporal, and parietal lobes
Presynaptic dopaminergic neuronsDAT-SPECTLess signal in striatum
Postsynaptic dopaminergic receptorIBZM-SPECTLess binding in striatum
  17 in total

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Authors:  Eric D Agdeppa; Vladimir Kepe; Jie Liu; Gary W Small; Sung-Cheng Huang; Andrej Petric; Nagichettiar Satyamurthy; Jorge R Barrio
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Authors:  William E Klunk; Henry Engler; Agneta Nordberg; Yanming Wang; Gunnar Blomqvist; Daniel P Holt; Mats Bergström; Irina Savitcheva; Guo-feng Huang; Sergio Estrada; Birgitta Ausén; Manik L Debnath; Julien Barletta; Julie C Price; Johan Sandell; Brian J Lopresti; Anders Wall; Pernilla Koivisto; Gunnar Antoni; Chester A Mathis; Bengt Långström
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