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Volume 5 Supplement 1

Background documents to the 4th Canadian Consensus Conference on the Diagnosis and Treatment of Dementia (CCCDTD4)

  • Review
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Clinical applications of neuroimaging in patients with Alzheimer's disease: a review from the Fourth Canadian Consensus Conference on the Diagnosis and Treatment of Dementia 2012

Alzheimer's Research & Therapy volume 5, Article number: S3 (2013) Cite this article

Abstract

In May 2012, the Fourth Canadian Consensus Conference on the Diagnosis and Treatment of Dementia brought together in Montreal experts from around Canada to update Canadian recommendations for the diagnosis and management of patients with neurodegenerative conditions associated with deterioration of cognition. Multiple topics were discussed. The present paper is a highly condensed version of those recommendations that were produced to support discussions in the field of neuroimaging for clinical diagnosis of those conditions.

Introduction

General considerations on the imaging group from the Fourth Canadian Consensus Conference on Diagnosis and Treatment of Dementia

Functional and structural neuroimaging in dementia was thoroughly reviewed in two papers from the last Canadian Consensus Conference on Diagnosis and Treatment of Dementia (CCCDTD) conference, published in 2007 [1, 2]. The field has since grown rapidly through refinements of techniques previously discussed and through deployment of new strategies such as in vivo amyloid imaging. This article, a much abridged version of the thorough review papers prepared for discussion at the CCCDTD4 conference, covers the most significant of those developments. The original articles can be found online [3].

The primary goal of the CCCDTD meetings is to elaborate practical recommendations for Canadian clinicians dealing with patients presenting with cognitive impairment. Other groups have of course come up with such recommendations. However, the present paper differs from those others in many ways. First, this paper certainly has the advantage of having reviewed a literature that is more recent (in a field in rapid flux) than that on which publications from the previous CCCDTD meetings were based, as well as those from organizations such as the American Academy of Neurology [4], the UK National Institute for Health and Clinical Excellence [5] or the European Federation of Neurological Societies [6]. The paper also had access to the most recent effort of the same nature, from the National Institute on Aging-Alzheimer's Association [7, 8], which is tailored to a very different medical practice environment.

The CCCDTD4 conference was attended by a group of individuals selected based on their known clinical expertise as decided by the conference organizers, who themselves are pre-eminent Canadian experts in the field of dementia, and who also organized previous meetings in that series. For the imaging section, a mix of imagers and clinicians, as well as basic scientists, were tasked with the preparation of the document to be discussed. The general attendance at the conference also included clinicians from the specialized (neurologists, geriatricians) and general medicine communities, physicians with expertise in methodological evaluation, as well as people representing the public and the pharmaceutical industry (those latter two groups did not take part in the voting for approval/rejection of recommendations).

The search of the literature for this specific paper was based on PubMed, and covered the period from the last CCCDTD publication (CCCDTD3, January 2006) until January 2012, so as not to duplicate the reviews already performed in the previous meetings. The current work is not a meta-analysis and therefore the search was not defined by statistical parameters, but rather by a series of decisions by the authors to include papers or not based on the pertinence of the information they contain. In fact, this resulted in some selected papers being included from the period preceding the interval mentioned above, if they were deemed necessary for a better understanding of the recommendations being made.

Keyword sequences started with 'Alzheimer 's disease' (AD) or 'mild cognitive impairment' (MCI), and then added the modalities being covered ('X-ray computerized tomography' (CT), 'CT', 'head CT', 'magnetic resonance imaging' (MRI), 'MRI', 'PET-FDG', 'SPECT-blood flow', and so forth). 'ADNI' was also used as a search term because articles related to that project constitute a rather unique sample of data analysis papers on well-characterized cases that have generally been submitted to multiple diagnostic modalities.

The official recommendations from the CCCDTD4 meeting for clinical use of neuroimaging in patients with cognitive decline can be found in Table 1.

Table 1 Recommendations from CCCDTD4 for the clinical use of imaging procedures
Full size table

General considerations on clinical neuroimaging in dementia

Because the limited pharmacological therapeutic options available for patients with cognitive decline linked to neurodegenerative diseases are not, of course, universally effective across the different entities found in that population, are costly, and can have significant side effects [9, 10], their rational use requires high accuracy of patient classification. This classification is what any type of neuroimaging technique is ultimately used for in such populations. Moreover, precise categorization has significant implications in terms of prognosis and even counseling; for instance, frontotemporal dementias have a significant probability (up to 40%) of occurring in a hereditary context [11], which is information many patients will value. Those reasons alone make it useful to discuss the role of neuroimaging in cases of cognitive decline.

Another important point to be considered is that neuro imaging of neurodegenerative diseases involves recognition on different types of imaging techniques of patterns deemed to be associated with a specific condition. However, neurodegenerative diseases are associated with ageing, and the probability of finding any of them in isolation in a patient decreases with increasing age [12]. Finding a pure pattern therefore becomes less and less probable as patients advance in age. Moreover, the relationship between dementia and parameters evaluated by imaging probably vary with age: amyloid load may not be as specific for cognitive impairment in very old patients as compared with younger ones, whereas indices of neuronal loss (regional volumes, metabolic activity or absolute blood flow) might show a more stable relationship to dementia across ages [13]. Brain reserve also will influence the results from those studies. Recommendations on the use of imaging techniques have to be interpreted in light of such factors, whatever the technique used. We have tried throughout the present text to make sure to take those factors into account.

Structural neuroimaging - computed tomography and magnetic resonance imaging

The search approach described above identified 416 papers on X-ray CT and MRI. A separate search using the same parameters with a filter for review articles yielded 63 papers. A search for review papers on head CT yielded only six papers.

General considerations

CCCDTD3 offered two recommendations for structural imaging pertaining to the general clinical setting [1]. On the one hand, these partially exclusionary recommendations supported the selective use of neuroimaging imaging procedures based on the First Canadian Consensus Conference on the Assessment of Dementia published in 1991 On the other hand, for the first time the recommendations supported the use of routine imaging to rule-in asymptomatic cerebrovascular disease. No specific choice of imaging modality was recommended. The following is a brief review of recent evidence pertaining to the clinical use of CT scans and MRI in the assessment of cognitive impairment in older people.

X-ray computerized tomography of the brain

For the initial assessment of patients presenting with cognitive difficulties/symptoms of dementia, guidelines from several countries indicate that structural neuroimaging with CT or MRI is appropriate [4, 14]. From a practical perspective, one should note that none of the guidelines differentiate between the types of technique (head CT or MRI) that should be used in the context of whether the request comes from a family physician practice or a specialist memory clinic.

One recent study found that no space-occupying lesion would have been missed in a memory clinic setting using the 1991 Canadian Consensus Criteria [15]. The study confirmed that the systematic use of neuroimaging allows for modifications of the etiological diagnosis of dementia by revealing 26 clinically unsuspected strokes among the 210 patients evaluated. The value of finding unsuspected cerebrovascular disease lies in the added benefit of managing vascular risk factors; the relevance of ordering neuroimaging is determined by the clinician's judgment as to whether aggressive vascular risk reduction is warranted in a given patient.

Space-occupying lesions, usually neoplasms or subdural hematomas, can be detected and may present with progressive cognitive impairment. These lesions are uncommon, with estimations at approximately 3% [15]. The Mini Mental State Examination score and physical functioning may improve in one-half of people with existing dementia after surgical drainage of a subdural hematoma [16].

A recent review reaffirmed several advantages of the enduring role of CT scan over MRI [17] in the clinical diagnosis of dementia, including lower cost, shorter duration of data acquisition, increased availability, ability to image patients with metallic devices, such as pacemakers, or who suffer from claustrophobia severe enough to prevent acquisition of MRI data.

One must emphasize that most available knowledge on CT scans has been obtained using older scanners that lacked the spatial resolution of newer, more powerful scanners. A study performed in a memory clinic setting compared the visual rating of hippocampal atrophy (HA) on coronal images, cortical atrophy on axial images and the assessment of white matter changes using a visual rating scale on a 64-detector-row CT scan, and on a 1.5 T MRI scan [18]. In that report, visual analysis of cortical and HA on CT scans was comparable with that obtained on matched brain MRI studies. In addition, the detection of white matter changes was also comparable for the two imaging modalities. There was no systematic difference between CT and MRI ratings on any of the scales that were used, including the estimation of HA.

Structural magnetic resonance imaging

Measurement of atrophy

The characteristic neuropathological progression described by Braak and Braak [19] typically results in associated atrophy of the anterior parahippocampal gyrus, hippocampus and amygdala, followed by atrophy in multimodal association cortices. The structural imaging parameter with the strongest association in the literature to a diagnosis of AD is HA. The HA parameter can be estimated either with complex, more or less automated volumetric MRI techniques, or with simple visual rating scales, using equivalent likelihood ratios [20]. MRI-defined HA has been incorporated in both the Dubois Criteria [21] and the new National Institute of Aging-Alzheimer's Association Criteria [7] for AD. Medial temporal lobe atrophy predicts progression from MCI to AD [22–25]. However, this diagnostic test has not yet been adopted widely in clinical settings. One of the main limitations of studies on the usefulness of HA measurements for evaluating the presence of AD pathology is that almost all of them come from referral cognitive disorder clinics, and the usefulness of HA in a more general setting has not been established [20].

Progressive atrophy measured on MRI is accepted as a biomarker of the progression of MCI to AD [26]. Rates of atrophy have been measured in the hippocampus and whole brain in a number of studies and have been reviewed recently [27]. Longitudinal studies of structural MRI aim to characterize the earliest regions affected by AD and their subsequent neuropathological progression and rate of change, as well as changes in regions of the neocortex as they progressively become involved [28–34]. A longitudinal study using MRI automatic segmentation of hippocampal volume, at three time points over 10 years in over 500 normal controls, showed that declining hippocampal volume predicted onset of clinical dementia [31]. Still, although longitudinal data are interesting, the predictive power of baseline MRI information is most useful to clinicians [25].

As a result of the marked contrast between cerebrospinal fluid and the surrounding tissues [35, 36], ventricular enlargement - a consequence of atrophy - can be easily measured on MRI T1-weighted images and is another potential marker of progressing atrophy.

Manual segmentation to measure the hippocampal volume is recognized as the gold standard [37, 38]. However, an initial survey of the 12 most cited manual segmentation protocols revealed a 2.5-fold volume measurement difference [39]. Automated validated measures of hippocampal volume will help increase reproducibility of results. This increased reproducibility will not only increase the measures' diagnostic usefulness, but will also make it possible to use them as inclusion/exclusion criteria to enrich samples in trials testing therapeutic efficacy of different agents, allowing reduction of sample sizes [40, 41]. Various automated methods to classify people with AD and MCI using structural MRI T1- weighted images have been proposed and have been reviewed [32]. The authors concluded that most of the techniques accurately classified normal controls and subjects with AD. However, these methods had lower sensitivity in diagnosing prodromal AD.

Several recent review papers on structural MRI in AD have been published [26, 38, 42].

Structural neuroimaging in memory clinics

The added value of neuroimaging in a memory disorders clinic has been evaluated in a retrospective study of 193 consecutively referred patients with cognitive impairment. Neuroimaging confirmed, clarified or contradicted the initial clinical diagnosis in more than 80% of patients. In 60% of the subjects, indicators of cerebrovascular disease were present [43].

When faced with the possibility of ordering brain imaging in the work-up of cognitive impairment, the clinician in a universal healthcare system such as that in Canada is faced with a dilemma: the values of social justice and allocation of resources must be balanced against the value of individual psychological benefits to patients and their families of investigating the symptoms in a thorough manner. This subjective benefit has not, to our knowledge, been assessed formally, but clinical experience suggests that patients with cognitive disorders expect some kind of brain imaging when they seek medical attention in this day and age.

There are no compelling reasons to withhold neuroimaging in the routine clinical assessment of cognitive impairment. The most obvious exception is situations where clinical management of vascular risk factors would not be modified if silent cerebrovascular lesions were revealed [15]. There is now documentation of the comparable value of the latest CT scanners compared with MRI for the routine work-up of dementia [18]. Head CT scanning is more widely available in Canada with typically shorter waiting lists than MRI and is sufficient for routine investigation of cognitive impairment (see CCCDTD4 recommendations in Table 1). MRI offers the advantage, however, of higher sensitivity to detect cerebrovascular lesions when compared with most currently used CT scanners, including in the detection of micro-bleeds on gradient-echo sequences [44], and this advantage will probably become stronger with the increasing availability of 3 T systems. Automated quantitative volumetrics and deformation-based protocols are also an advantage of MRI, but for the time being are mostly restricted to research settings [45, 46]. The absence of ionizing radiation is another advantage of MRI. The higher resolution of MRI is preferred to detect specific patterns of cortical and subcortical atrophy in non-Alzheimer's dementia, such as fronto-temporal dementias [47, 48], multi-system atrophy or progressive supranuclear palsy [49]. For rarer disorders, different MRI specialized sequences can assist the diagnosis in human prion-linked dementia [50].

Again, the diagnostic value of specific HA measurements has been well established in referral clinic populations, but its diagnostic value has not been demonstrated in unselected primary care patients, and this will remain a challenge for the foreseeable future.

Positron emission tomography fluorine-18- fluorodeoxy-glucose and single-photon emission computed tomography cerebral blood flow studies

Using the search strategy described above yielded 208 articles for positron emission tomography (PET) and 98 articles for single-photon emission computed tomography (SPECT).

Positron emission tomography fluorine-18-fluorodeoxyglucose versus single-photon emission tomography cerebral blood flow: a brief reminder

PET imaging of the fluorine-18-fluorodeoxyglucose (18F-FDG) distribution is a reliable way of evaluating regional cerebral metabolic rates of glucose utilization, whereas SPECT imaging with either Technetium-99m-hexamethylene propyleneamine oxime or Technetium-99m-ethylene cisteinate dimer, the most frequently used agents, allows evaluation of regional cerebral blood flow (rCBF). Under most circumstances, rCBF and regional cerebral metabolic rate of glucose utilization are tightly coupled and represent the regional intensity of glutamatergic transmission [51]. Physiologically, therefore, these techniques can be considered generally equivalent, and the distribution patterns seen in neurodegenerative disorders as established over almost 30 years of their use are largely the same [52, 53]. This equivalence also means that both approaches are subject to similar effects linked to age (see above) and to the influence of cerebral reserve [54], which must be factored in during clinical interpretation.

However, these two approaches are technically quite different. PET imaging has a strong advantage over SPECT in terms of spatial resolution. This translates into the ability to pick up earlier disease-linked alterations and is probably the main reason why PET displays a 15 to 20% better accuracy [55–57]. Resolution performances are still evolving - in fact with fewer possibilities for improvement with PET than with SPECT, which is closing in on the performances typically associated with PET, and SPECT is considered a valid diagnostic option [58]. At the same time, the major advantages of SPECT over PET - that is, its greater availability and lower cost - are being eroded by the significantly increased availability of PET scanning.

Finally, remember that nuclear medicine techniques are minimally invasive. Their track record is remarkable, with 0.9 recorded acute, limited side-effects per 100,000 administrations [59]. The long-term risk of radiation exposure is that of developing cancer, a limited concern given the age of populations evaluated for dementia - the mean latent period for most solid tumors secondary to exposure to acute radiation exposure is reported at between 20 and 30 years, with an average risk of dying from such a tumor of 0.028% [60].

Single-photon emission computed tomography regional cerebral blood flow studies

Review articles since the last CCCDTD continue to report on nonattenuation corrected studies and come up with numbers for diagnostic accuracy that are of the same order as those cited in 2007: the pooled sensitivity and specificity are reported at around 75% and 90%, respectively [2, 57].

Recent papers have confirmed the ability of SPECT rCBF studies to efficiently differentiate AD from other causes of dementia/cognitive impairment, such as vascular dementia and fronto-temporal dementia [61, 62]. The differential diagnosis between AD and depression with cognitive impairment appears less optimal, in fact raising the possibility of a direct link between neurodegeneration and depression [63]. Differentiating dementia with Lewy bodies (DLB) from AD on the basis of hypoperfusion of the visual cortex also appears established [64], although the sensitivity and specificity (65% and 80%, respectively) might be suboptimal [58].

Differentiation of DLB from AD with SPECT agents targeting the dopamine cell membrane transporter is available in Europe and the USA but not in Canada. A complete review on the subject has recently confirmed the usefulness of this approach [65]; cases showing unclear results with that agent are likely to represent combined AD/DLB pathology.

The ability of SPECT rCBF to predict clinical evolution is discussed by different authors, with variable conclusions. In AD, rapidity of progression can be inferred from the initial rCBF pattern [66]. However, prediction of conversion from MCI to dementia of the Alzheimer type with rCBF studies is not clearly established at this time, the results being discordant [67, 68]. Still, differences of rCBF patterns are seen in MCI subtypes with different risk of progressing to AD [69], suggesting that brain perfusion studies can probably predict progression of cognitive deterioration.

Computer-assisted image analysis is an important issue impacting on the clinical usefulness of rCBF SPECT imaging. Multiple techniques have been proposed to facilitate interpretation. It is virtually impossible to determine from currently available data whether one approach is better than another, as head-to-head comparisons are not generally available. When they are, differences are limited and of uncertain cause [70]. Ultimately, the most important question is whether such approaches are superior to visual evaluation. Invariably, the impact on accuracy is more significant for less experienced interpreters than for those regularly reporting such studies [71].

Positron emission tomography fluorine-18-fluorodeoxyglucose

Numerous reviews of the application of PET 18F-FDG imaging to the evaluation of dementia have been published, reporting on large numbers of subjects, sometimes expressing wonderment at the ongoing questioning the technique still faces [72].

A recent review covers the period from 2000 to the latter half of 2011 [73]. The methodology employed is similar to that proposed here, and the conclusions are close to those we arrived at when covering, along with the previous CCCDTD report, the same material. Eleven studies meeting standard meta-analysis criteria were identified. Those studies report on hundreds of subjects (the exact number is difficult to specify as some cohorts come from the same centers and probably contain many of the same patients) who have been classified, based on different diagnostic criteria (autopsy results, clinical follow-up, clinical assessment), as AD, healthy controls, or bearers of other dementia-associated conditions.

From the five case-control studies reviewed, all at American Academy of Neurology diagnostic evidence level III, the pooled sensitivity, specificity and accuracy for the diagnosis of AD were respectively 96%, 90% and 93%. From the two longitudinal studies, sensitivity results were 78% and 91.7% for the presence of dementia, with specificities of 81% and 88.9%. For the two pathology-controlled studies looking at the presence or absence of AD, sensitivities were 94% and 84%, and specificities were 73% and 74%. 18F-FDG imaging differentiated AD from other dementia-causing conditions with accuracies ranging from 79 to 93%.

Such percentages increase physicians' confidence in the diagnosis given to a patient above the level associated with purely clinical approaches. Diagnosis is helped significantly in over 70% of cases in a memory clinic setting, particularly in cases of atypical/unclear dementias [74].

Predicting clinical evolution from 18F-FDG studies in patients with cognitive disorders remains an important clinical objective. Clinical identification of nondemented patients at risk of evolving to AD in general involves recognizing the presence of amnestic MCI, but not all amnestic MCI evolve to AD [75]. A normal PET study predicts with very high accuracy a low risk of cognitive deterioration for a number of years [35, 76, 77]. Subjects at high risk for AD, members of families with familial AD [78, 79] and nondemented subjects with evidence of brain accumulation of β-amyloid [80] can show changes in 18F-FDG studies comparable with those seen in AD subjects years before cognitive deterioration, as do many amnestic MCI subjects (at high risk of evolving to AD) [81], suggesting that such a pattern might indeed carry prognostic information. Clinical follow-up of amnestic MCI/pre-amnestic MCI subjects shows that the initial 18F-FDG study is a strong predictor of conversion to AD or cognitive decline [82–85]. 18F-FDG might in fact be one of the better AD biomarkers in terms of its ability to follow cognitive decline throughout the course of the disease [86]. Improved specificity in that domain might come from supplemental information provided by β- amyloid PET imaging [87–89].

A practical issue arising from the previous discussion is the value of repeated imaging when an initial PET study is interpreted as normal or inconclusive for the presence of a dementing process. Very little information is available in that area but, should a second study be performed, results from one group suggest that absence progression over 1 year goes against the presence of an active neuro-degenerative process [90].

Other diseases can present with cognitive impairment aside from AD, vascular dementia, fronto-temporal dementia and DLB - in particular, those that present with movement disorders often mimicking early Parkinson's disease (multisystem atrophy, cortical basal ganglia degeneration, progressive supranuclear palsy). Patients affected by those diseases are sometimes referred for evaluation of accompanying cognitive decline. Although the literature is much more limited on that topic than it is for other conditions affecting cognition, there is evidence that specific brain metabolism patterns can be seen with PET 18F-FDG imaging [91, 92].

Just as with SPECT, multiple computer-assisted interpretation schemes have been proposed for 18F-FDG studies, some having achieved significant and well deserved acceptance [93]. Numerous technical issues remain to be settled in that field, including the nature of the reference population being used for comparison purposes [94], pointing to a pressing need for standardization. In general, the same principles seem to apply here as were already discussed for SPECT; that is, such approaches seem to be particularly clinically helpful when used by observers with limited experience (clinical visual interpretation of those tests being subject to significant variability [95]) or in research settings [96].

Amyloid imaging

Introduction

PET imaging with amyloid ligands allows in vivo detection of amyloid plaques, a core pathologic feature of AD [97]. Although the 20-minute physical half-life of carbon- 11-labelled Pittsburgh Compound B (PiB) has limited its use to research centers equipped with a cyclotron, a second generation of amyloid agents labeled with 18F (110-minute half-life) has recently been developed, making it feasible to produce and distribute tracers for clinical use. In April 2012 18F-florbetapir became the first US Food and Drug Administration-approved 18F amyloid tracer, and was approved by European authorities in early 2013. Higher nonspecific white matter binding has been reported with 18F amyloid agents (flutemetamol, florbetapir, and florbetaben) but not with AZD4694 [98]. All have shown performances comparable with those of PiB in clinical populations, and high correlation with postmortem measures of fibrillar amyloid-beta has been found [99].

Amyloid positron emission tomography in various clinical populations

Cognitively normal older individuals show elevated PiB binding in 10 to 34% of cases, a rate similar to that observed for amyloid pathology in autopsy studies [100]. Although the significance of a positive amyloid scan in cognitively normal individuals remains uncertain, cross-sectional studies have shown AD-like brain changes (hippocampal and temporal-parietal atrophy) while early longitudinal data have strengthened the notion that many such subjects are in a preclinical phase of AD. At present, there is no clinical indication for amyloid imaging in cognitively normal individuals or for the initial investigation of cognitive complaints.

Current data in MCI patients indicate that amyloid imaging provides prognostic information, presumably by identifying patients with underlying AD pathology [101]. As a group, MCI cases show elevated PiB binding in 52 to 87% of cases, with a regional distribution similar to that found in AD. In the largest longitudinal effort to date [102], the conversion rate was 82% in those with increased PiB uptake, but only 7% in PiB-negative subjects.

Most studies in AD have found very high (≥90%) PiBPET sensitivity, with a pattern that closely mirrors the distribution of plaques found at autopsy [103]. Much like FDG-PET [75], amyloid imaging will probably not add value to the diagnostic work-up of patients with straightforward clinical AD, but is likely to be useful in patients with atypical complex presentations or early age-of-onset dementia. Considering that frontal temporal lobar degeneration and AD are the leading causes of dementia in young patients, that distinguishing the two during life can be clinically challenging, and that amyloid-beta plaques are not part of the frontal temporal lobar degeneration pathologic spectrum, authors have shown a valuable role for amyloid imaging in the differential diagnosis of these conditions, providing information beyond that obtained with 18FDG-PET [104]. Other clinical conditions studied with amyloid PET include vascular dementia, cerebral amyloid angiopathy, Parkinson's disease dementia, and DLB, but a detailed discussion of results in those conditions is beyond the scope of this article (see [105] for a more detailed review).

Amyloid positron emission tomography in clinical practice: unresolved questions and recommendations

Amyloid imaging represents a promising technique in the evaluation of dementia but many ill-defined factors can probably impact its diagnostic validity and utility [106]. Currently, the only country where amyloid imaging is approved by government authorities is the USA. Clinicians from nearby countries such as Canada may therefore be called upon to interpret results from amyloid tests performed on their patients. Physicians should be very cautious in their interpretation because, used in isolation, this test cannot diagnose AD or MCI, or differentiate normal from abnormal aging. Recommendations are that the physicians consult with a dementia specialist familiar with this technique when confronted with amyloid imaging reports for studies performed in a region where they are available. Should amyloid imaging become more widely available, it is unlikely to become a routine test. Rather, it will probably be part of a comprehensive evaluation for complex and atypical cases referred to tertiary-care memory clinics when a more accurate clinical diagnosis is needed.

Although surveys suggest that rates of cholinesterase prescription in people with AD range from about 10 to 50% depending on the country, it is our clinical impression that inhibitors are prescribed to a large number of patients with non-AD dementia unlikely to benefit from such therapy, while certain populations that could indeed benefit remain untreated (for example, MCI due to AD). A decision to treat might be arrived at in a more rational fashion if amyloid PET was applied in the right circumstances, such as in atypical cognitive disorders and dementias [106]. This application could possibly result in significant savings, but further cost-effectiveness studies are required. The more immediate impact of amyloid imaging, however, will probably be improving clinical trial design by enrolling patients based on biological, rather than clinical, phenotype. A positive amyloid scan could well become the primary inclusion criterion for a study focused on prevention of AD progression.

Since the CCCDTD4 meeting, an important consensus paper has been published by the Amyloid Imaging Taskforce to provide guidance to dementia care practitioners, patients, and caregivers on appropriate use of amyloid PET [107]. A set of criteria were agreed upon that define the types of patients and clinical circumstances in which amyloid PET could be used. Both appropriate and inappropriate uses are considered and discussed. Future research directions are also outlined, including diagnostic utility and patient-centered outcomes. This consensus paper is generally in line with the CCCDTD4 recommendations, but one should remember that no amyloid-imaging tracer is approved in Canada at this time, or in fact being considered for approval.

Conclusion

Neuroimaging is now a major diagnostic player in the evaluation of subjects reporting cognitive decline, in large part because the technique no longer is called upon solely to rule out non-neurodegenerative causes, but rather to positively identify neurodegeneration by probing for a series of anatomical and functional modifications it inflicts on the brain. Although stronger confirmation is always desirable, enough data are available on the value of HA assessment with MRI, or of metabolic/blood flow disturbances with PET and SPECT, to differentiate AD from other processes and to recommend using such techniques when diagnosis remains doubtful and clinical management is therefore undefined in selected cases. Amyloid imaging will also contribute to that process, although its optimal use remains to be clarified. All of those techniques will also benefit the clinical evaluation of potentially disease-modifying therapies, as well as help to develop a better clinical understanding of neurodegenerative processes as such. The recommendations from the CCCDTD4 meeting, which were based on the review presented above and on some additional texts found at the website [3], are, once again, summarized in Table 1.

Abbreviations

AD:

Alzheimer's disease

CCCDTD:

Canadian Consensus Conference on the Diagnosis and Treatment of Dementia

CT:

X-ray computerized tomography

DLB:

dementia with Lewy bodies

F-18:

18fluorine-18

FDG:

fluorodeoxyglucose

HA:

hippocampal atrophy

MCI:

mild cognitive impairment

MRI:

magnetic resonance imaging

PET:

positron emission tomography

PiB:

Pittsburgh compound B

rCBF:

regional cerebral blood flow

SPECT:

single-photon emission computed tomography.

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Acknowledgements

RB would like to acknowledge the Ivey-BMO Financial Group Scientist in Brain Disorders Imaging Award. RL Jr would like to acknowledge Dr Gil D Rabinovici for earlier comments on the amyloid imaging section. PR-N acknowledges support from Le Fonds de recherche du Québec - Santé chercheurs-boursiers program, the Canadian Institutes of Health Research, the Alzheimer's Association and the Aisenstadt Foundation.

Declarations

This article has been published as part of Alzheimer's Research & Therapy Volume 5 Supplement 1, 2013: Background documents to the 4th Canadian Consensus Conference on the Diagnosis and Treatment of Dementia (CCCDTD4). The full contents of the supplement are available online at http://alzres.com/supplements/5/S1.

Publication charges for the supplement were funded by the Canadian Consensus Conference on the Diagnosis and Treatment of Dementia (CCCDTD). Although residual conference funds used include contributions from pharmaceutical companies, no commercial organization has been involved in the selection of participants, choice of topics, preparation of background papers or recommendations. In kind support was also provided by the Canadian Dementia Knowledge Translation Network, and the offices of Drs Serge Gauthier (McGill University), Christopher Patterson (McMaster University) and Howard Chertkow (McGill University), whose role as Guest Editors involved the coordination of the project without involvement in the journal's standard peer review process which applied for all articles.

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Authors and Affiliations

  1. PET Unit, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, Quebec, Canada, H3A 2B4

    Jean-Paul Soucy

  2. Robarts Research Institute, Western University, London, Ontario, Canada

    Robert Bartha

  3. Service de Neurologie, Centre hospitalier universitaire de Sherbrooke, Sherbrooke, Quebec, Canada

    Christian Bocti

  4. Department of Medicine, Division of Geriatric Medicine, Western University, Quebec, Canada

    Michael Borrie & Amer M Burhan

  5. Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, Université Lava, Quebec, Quebec, Canada

    Robert Laforce Jr

  6. Translational Neuroinmaging Laboratory, McGill Centre for Studies in Aging, Douglas Research Institute, McGill University, Montreal, Quebec, Canada

    Pedro Rosa-Neto

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  1. Jean-Paul Soucy
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  2. Robert Bartha
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  3. Christian Bocti
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  4. Michael Borrie
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  5. Amer M Burhan
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  6. Robert Laforce Jr
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  7. Pedro Rosa-Neto
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Correspondence to Jean-Paul Soucy.

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The authors declare that they have no competing interests.

Authors' contributions

J-PS was primarily responsible for the nuclear medicine (PET-18F-FDG and SPECT rCBF and others) section, as well as for putting together the different parts of the manuscript. MB and CB were primarily responsible for the structural imaging section. RL Jr was primarily responsible for the amyloid imaging section. All authors, including those not primarily responsible for a given section (AMB, RB, PR-N), reviewed the manuscript and contributed their comments to all sections.

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Soucy, JP., Bartha, R., Bocti, C. et al. Clinical applications of neuroimaging in patients with Alzheimer's disease: a review from the Fourth Canadian Consensus Conference on the Diagnosis and Treatment of Dementia 2012. Alz Res Therapy 5 (Suppl 1), S3 (2013). https://doi.org/10.1186/alzrt199

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Keywords

Alzheimer's Research & Therapy

ISSN: 1758-9193