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1 Imaging and Alzheimer s Disease: A Review Neuroimaging in Alzheimer s disease (AD) has moved beyond the stage where it was used purely to exclude other disease processes. Structural brain magnetic resonance imaging (MRI) is useful to assess hippocampal atrophy on coronal slices; clinicians can use a simple visual rating scale, which can help to confirm the diagnosis of AD. Another useful indication for neuroimaging is to assess the contribution of cerebrovascular disease (CBVD) to the clinical syndrome of dementia. It has become clear in recent years that the most common situation in the general population is the combination of AD and CBVD. A neuroimaging procedure (CT scan or, preferably, MRI) can detect silent CBVD, which would modify management of modifiable risk factors. The recent Canadian Consensus on Dementia recognized this indication. Christian Bocti, MD, FRCPC Neuroimaging has traditionnally been recommended as a way to exclude potentially reversible causes of dementia, even though the prevalence of treatable causes of dementia in typical referral clinics is very low. 1 This traditional view was largely held until the previous Canadian Consensus in 1999, 2 where specific guidelines were stated to restrict the indications of neuroimaging in dementia. However, there has been much development since those guidelines were published. The most recent Practice Parameter from the American Academy of Neurology Christian Bocti, MD, FRCPC Division of Neurology, Maisonneuve-Rosemont Hospital, Clinical Associate Professor, University of Montreal, Montreal, Quebec. recommends that at least one neuroimaging procedure should be done in every patient with a dementing disorder. 3 This article reviews structural and functional imaging in the diagnosis of Alzheimer s disease (AD). Future developments of imaging hold great promise and are briefly overviewed. Background The process that leads to AD probably begins decades before we can detect it clinically. 4 At one point, the functional connectivity and molecular changes that occur within cells result in neuronal loss and brain atrophy. This atrophy follows a specific, systematic anatomical pattern for reasons that are still a matter of debate. One hypothesis holds that the AD process follows brain regions in decreasing order of neuroplasticity potential. 5 This view states that the hippocampus and its connections in the entorhinal cortex (the part of the medial temporal lobe just adjacent to the hippocampus) remain the most active in terms of plasticity throughout the lifespan. Indeed, the forming of new memories occurs during adult life, and is supported by structural changes in the hippocampal-entorhinal complex: these structural changes are termed neuroplasticity. 6 Neuroplasticity failure would affect the medial temporal lobe first, then its connections within the limbic and para-limbic regions, then the multimodal associative cortex. It is this topographical selectivity that allows early detection of atrophy in the medial temporal regions. 7 The Canadian Review of Alzheimer s Disease and Other Dementias 13
2 Figure 1 Medial-temporal-lobe Atrophy (MTA) Scale 12 MTA = 0 MTA = 1 MTA = 2 (right) and 4 (left) MTA = 3 MTA = 4 The rating from 0 to 4 is displayed; higher scores indicate more atrophy. When one score is given, left = right. Structural Neuroimaging: Brain Atrophy Several studies using CT and MRI scans have shown significantly smaller hippocampi in subjects with AD compared with normal controls, with accuracy of classification in the 85% range. 1 There is a whole spectrum of tools with varying degrees of technological intensity, ranging from the simplest visual rating scale 8 to the most sophisticated 3D shapedeformation analysis of the hippocampus, which require advanced hardware, software and statistical knowledge. 9 Visual rating scales (Figure 1) can be performed by clinicians quickly (one to two minutes), with minimal training, and have been validated against volumetric measures For reasons of ease-of-use and availability, this simple type of imaging analysis is probably the one with the most potential usefulness in clinical practice for now. Recent developments have brought automated measures closer to clinical practice, but even simple techniques require registration to standardized 3D templates, which is not likely to be widely available. 13,14 It should be kept in mind that hippocampal atrophy alone may not be sufficient to diagnose AD in cohorts comparing different diagnostic groups: the addition of a Mini Mental State Examination (MMSE) score to a visual rating of medial-temporal-lobe atrophy was found to be necessary to discriminate between AD and non- AD in one study, 11 and other temporal-lobe structures were assessed in another. 15 There are several reports where medial-temporallobe atrophy is found in non-ad dementias, such as fronto-temporal dementia Nevertheless, a group of experts recently recommended that research criteria for AD be revised, and that assessment of medial-temporal atrophy should be a part of the new criteria, which also include cognitive information and other biomarkers. 19 In conclusion, although medial-temporal atrophy does contribute to diagnostic specificity in expert hands, it has yet to be translated into widespread clinical and radiological practice. According to a recent stringent evidence-based review, there is insufficient data on MRI in general-practice settings to recommend its widespread use. 20 Structural Neuroimaging: Cerebrovascular Disease In recent years, CBVD has been reconceptualized as a major factor in cognitive decline and dementia, including AD. Ischemic lesions such as lacunar infarcts greatly influence the clinical syndrome of dementia; 21,22 this could be an additive or a synergistic effect. It appears that the most common pathological substrate of dementia in population-based autopsy series is combined CBVD and AD pathology; mixed dementia could be more frequent in the general population than pure AD. 23,24 It is also well known from largescale, population-based imaging studies that the prevalence of 14 The Canadian Review of Alzheimer s Disease and Other Dementias
3 Figure 2 Assessment of Leukoaraiosis Using Rating Scales 35 A through F are examples of the rating scores 1, 2, and 3 from CT and MRI scans. Each pair of images (CT/MRI) refers to the same patient. The lesions are chosen from matching slices. Note that the slice angulation differs between CT and MRI (T2- weighted MRI images are shown). For a rating score of 1, a single lesion is clearly seen on CT (A) (see arrow); on MRI (B), and additional lesions are rated as 2; rating score 2 is exemplified in C and D (see arrows); rating score 3 is shown in E and F. silent brain infarcts is quite high in the general population and has an impact on cognitive decline. 25,26 In light of these data, it is quite surprising to find that until recently, there were no official recommendations to include neuroimaging as a means to detect CBVD in dementia assessment. Although neuroimaging evidence of what constitutes significant CBVD in dementia is still not agreed on, there is a general agreement on the fact that detection of silent CBVD should lead to a more pro-active management of modifiable vascular risk factors. 27 These considerations have resulted in a statement from the 3rd Canadian Consensus Conference on Diagnosis and Treatment of Dementia (CCCDTD): 28 There is fair evidence to support use of structural neuroimaging to rule in concomitant CBVD that can affect patient management. Ever since neuroimaging was integrated in clinical routine, 29 there has been much controversy about the white-matter changes (or leukoaraiosis) that appear ubiquitous in aging. 30 Recent years of research have finally crystallized knowledge on this phenomenon, and there is an emerging consensus that confluent lesions (as opposed to punctate lesions) do progress with time, 31 and are associated with certain cognitive deficits as well as motor and functional disability Moderate-tosevere leukoaraiosis is thus far from benign, and can easily be assessed with simple rating scales (Figure 2 35 ). 36,37 Advanced Structural Neuroimaging Techniques Until now we have dealt with traditional neuroimaging techniques that are in common clinical use. Recent developments in MRI technology have revealed that structural damage can be detected in areas outside of visibly abnormal regions on the standard images: several techniques are available, but will not be reviewed in detail here. One of the most promising techniques is diffusion tensor imaging (DTI), where integrity of the white-matter tracts can be assessed by analyzing the movement of free water molecules within the tracts. 38 More degraded tracts will result in increasingly random movements, which can be detected by DTI; such abnormalities can be correlated with cognitive functions. 39 Studies have now shown that AD is associated with degradation of white-matter tracts. 40 It is still a technical challenge to obtain such data and thus routine availability of DTI will not happen in the foreseeable future. Functional Neuroimaging Nuclear medicine has been used in the study of dementia for many years, with single photon emission computed tomography (SPECT) and positron emission tomography (PET) scans tested as diagnostic tools in AD and other dementias. There are reports on PET imaging that show it is more sensitive and specific compared with clinical assessment in the early diagnosis of dementia. The value of PET in the differential diagnosis of frontotemporal dementia versus AD has recently been demonstrated in a well designed study that looked at added benefit over clinical information alone, notably with a simple visual rating by the (experienced) clinician. 41 SPECT is more The Canadian Review of Alzheimer s Disease and Other Dementias 15
4 widely available, but is generally less sensitive and specific than PET. 42,43 Nevertheless, it has some value in the diagnosis of AD 44 and differential diagnosis of dementias, including frontal and anterior temporal hypoperfusion in fronto-temporal dementias, and occipital hypoperfusion in dementia with Lewy bodies 45,46 Advanced Functional Neuroimaging Techniques Direct imaging of neuropathological hallmarks of AD is becoming possible with the development of specific tracers in PET imaging. 47 This has some potential to help in the early diagnosis of AD, but unfortunately correlations between amyloid on neuropathology and cognition have been far from compelling. 48 Also, there is a substantial proportion of elderly without cognitive impairment who also have high amyloid burden on pathology. The specificity of an amyloid imaging technique remains to be proven in light of these known pathological correlates. Future development in tau imaging might contribute more substantially to this field since tau and neurofibrillary tangles are more robustly associated with cognition in AD 49 Conclusion In summary, the diagnosis of dementia will likely remain clinical for most purposes in the next few years. However, there are potential benefits and diagnostic utility of some widely available imaging techniques. In particular, systematic rating of medial-temporal atrophy on MRI has the potential of increasing diagnostic certainty for AD in specialty clinics. Similarly, identification of lacunes and application of a simple rating of leukoaraiosis on CT scans of the brain can provide prognostic information and alter management of patients. The real challenge facing clinicians will be increasing pressure to diagnose AD earlier and with more accuracy and diagnostic confidence. This pressure will become much more important when efficient disease-modifying therapies are available. Neuroimaging perhaps will have to be used in that early period of the disease, where it is likely to be more useful. New research criteria have been proposed for that purpose, and rightfully include medial-temporal-lobe atrophy as a neuroimaging biomarker. 17 These criteria will certainly give an impetus to the systematic rating of medial-temporallobe atrophy by radiologists and clinicians in the next few years. A large-scale, open-access database is currently being developed in the U.S. and Canada and will likely be very useful to further delineate the diagnostic value of neuroimaging in AD. 50 References 1. Scheltens P, Fox N, Barkhof F, De Carli C. Structural magnetic resonance imaging in the practical assessment of dementia: beyond exclusion. Lancet Neurol 2002; 1: Patterson C, Gauthier S, Bergman H, et al. The recognition, assessment and management of dementing disorders: conclusions from the Canadian Consensus Conference on Dementia. Can J Neurol Sci 2001; 28 Suppl 1:S3- S Knopman DS, DeKosky ST, Cummings JL, et al. Practice parameter: diagnosis of dementia (an evidence-based review). Report of the Quality Standards Subcommittee of the American Academy of Neurology. Neurology 2001; 56: Braak H, Braak E. Frequency of stages of Alzheimer-related lesions in different age categories. Neurobiol Aging 1997; 18: Mesulam MM. Neuroplasticity failure in Alzheimer's disease: bridging the gap between plaques and tangles. Neuron 1999; 24: Squire LR, Stark CE, Clark RE. The medial temporal lobe. Annu Rev Neurosci 2004; 27: Jack CR, Jr., Dickson DW, Parisi JE, et al. Antemortem MRI findings correlate with hippocampal neuropathology in typical aging and dementia. Neurology 2002; 58: Scheltens P, Leys D, Barkhof F, et al. Atrophy of medial temporal lobes on MRI in "probable" Alzheimer's disease and normal ageing: diagnostic value and neuropsychological correlates. J Neurol Neurosurg Psychiatry 1992; 55: Scher AI, Xu Y, Korf ES, et al. Hippocampal shape analysis in Alzheimer's disease: a populationbased study. Neuroimage 2007; 36: Frisoni GB, Scheltens P, Galluzzi S, et al. Neuroimaging tools to rate regional atrophy, subcortical cerebrovascular disease, and regional cerebral blood flow and metabolism: Consensus paper of the EADC. J 16 The Canadian Review of Alzheimer s Disease and Other Dementias
5 Neurol Neurosurg Psychiatry 2003; 74: Wahlund LO, Julin P, Johansson SE, et al. Visual rating and volumetry of the medial temporal lobe on magnetic resonance imaging in dementia: a comparative study. J Neurol Neurosurg Psychiatry 2000; 69: Korf ES, Wahlund LO, Visser PJ, et al. Medial temporal lobe atrophy on MRI predicts dementia in patients with mild cognitive impairment. Neurology 2004; 63: Ridha BH, Barnes J, van de Pol LA, et al. Application of automated medial temporal lobe atrophy scale to Alzheimer disease. Arch Neurol 2007; 64: Gao FQ, Black SE, Leibovitch FS, et al. Linear width of the medial temporal lobe can discriminate Alzheimer's disease from normal aging: the Sunnybrook dementia study. Neurobiol Aging 2004; 25: O'Brien JT, Desmond P, Ames D, et al. Temporal lobe magnetic resonance imaging can differentiate Alzheimer's disease from normal ageing, depression, vascular dementia and other causes of cognitive impairment. 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Structural Neuroimaging in the Diagnosis of Dementia. Background article for the Third Canadian Consensus Conference on Diagnosis and Treatment of Dementia. Alzheimer's & Dementia 2007; in press. 29. Hachinski VC, Potter P, Merskey H. Leuko-araiosis. Arch Neurol 1987; 44: Fernando MS, Ince PG. Vascular pathologies and cognition in a population-based cohort of elderly people. J Neurol Sci 2004; 226: Schmidt R, Scheltens P, Erkinjuntti T, et al. White matter lesion progression: a surrogate endpoint for trials in cerebral small-vessel disease. Neurology 2004; 63: Prins ND, van Dijk EJ, den Heijer T, et al. Cerebral small-vessel disease and decline in information processing speed, executive function and memory. Brain 2005; 128: Pantoni L, Poggesi A, Basile AM, et al. Leukoaraiosis predicts hidden global functioning impairment in nondisabled older people: the LADIS (Leukoaraiosis and Disability in the Elderly) Study. J Am Geriatr Soc 2006; 54: Bocti C, Swartz RH, Gao FQ, et al. 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