Use of amyloid-PET to determine cutpoints for CSF markers: A multicenter study

OBJECTIVES

To define CSF β-amyloid 1-42 (Aβ42) cutpoints to detect cortical amyloid deposition as assessed by 11C-Pittsburgh compound B ([11C]PiB)-PET and to compare these calculated cutpoints with cutpoints currently used in clinical practice.

METHODS

We included 433 participants (57 controls, 99 with mild cognitive impairment, 195 with Alzheimer disease [AD] dementia, and 82 with non-AD dementia) from 5 European centers. We calculated for each center and for the pooled cohort CSF Aβ42 and Aβ42/tau ratio cutpoints for cortical amyloid deposition based on visual interpretation of [11C]PiB-PET images.

RESULTS

Amyloid-PET-based calculated CSF Aβ42 cutpoints ranged from 521 to 616 pg/mL, whereas existing clinical-based cutpoints ranged from 400 to 550 pg/mL. Using the calculated cutpoint from the pooled sample (557 pg/mL), concordance between CSF Aβ42 and amyloid-PET was 84%. Similar concordance was found when using a dichotomized Aβ42/tau ratio. Exploratory analysis showed that participants with a positive amyloid-PET and normal CSF Aβ42 levels had higher CSF tau and phosphorylated tau levels and more often had mild cognitive impairment or AD dementia compared with participants who had negative amyloid-PET and abnormal CSF Aβ42 levels.

CONCLUSIONS

Amyloid-PET-based CSF Aβ42 cutpoints were higher and tended to reduce intercenter variability compared with clinical-based cutpoints. Discordant participants with normal CSF Aβ42 and a positive amyloid-PET may be more likely to have AD-related amyloid pathology than participants with abnormal CSF Aβ42 and a negative amyloid-PET.

CLASSIFICATION OF EVIDENCE

This study provides Class II evidence that an amyloid-PET-based CSF Aβ42 cutpoint identifies individuals with amyloid deposition with a sensitivity of 87% and specificity of 80%.

Prevalence of amyloid PET positivity in dementia syndromes: a meta-analysis

IMPORTANCE

Amyloid-β positron emission tomography (PET) imaging allows in vivo detection of fibrillar plaques, a core neuropathological feature of Alzheimer disease (AD). Its diagnostic utility is still unclear because amyloid plaques also occur in patients with non-AD dementia.

OBJECTIVE

To use individual participant data meta-analysis to estimate the prevalence of amyloid positivity on PET in a wide variety of dementia syndromes.

DATA SOURCES

The MEDLINE and Web of Science databases were searched from January 2004 to April 2015 for amyloid PET studies.

STUDY SELECTION

Case reports and studies on neurological or psychiatric diseases other than dementia were excluded. Corresponding authors of eligible cohorts were invited to provide individual participant data.

DATA EXTRACTION AND SYNTHESIS

Data were provided for 1359 participants with clinically diagnosed AD and 538 participants with non-AD dementia. The reference groups were 1849 healthy control participants (based on amyloid PET) and an independent sample of 1369 AD participants (based on autopsy).

MAIN OUTCOMES AND MEASURES

Estimated prevalence of positive amyloid PET scans according to diagnosis, age, and apolipoprotein E (APOE) ε4 status, using the generalized estimating equations method.

RESULTS

The likelihood of amyloid positivity was associated with age and APOE ε4 status. In AD dementia, the prevalence of amyloid positivity decreased from age 50 to 90 years in APOE ε4 noncarriers (86% [95% CI, 73%-94%] at 50 years to 68% [95% CI, 57%-77%] at 90 years; n = 377) and to a lesser degree in APOE ε4 carriers (97% [95% CI, 92%-99%] at 50 years to 90% [95% CI, 83%-94%] at 90 years; n = 593; P < .01). Similar associations of age and APOE ε4 with amyloid positivity were observed in participants with AD dementia at autopsy. In most non-AD dementias, amyloid positivity increased with both age (from 60 to 80 years) and APOE ε4 carriership (dementia with Lewy bodies: carriers [n = 16], 63% [95% CI, 48%-80%] at 60 years to 83% [95% CI, 67%-92%] at 80 years; noncarriers [n = 18], 29% [95% CI, 15%-50%] at 60 years to 54% [95% CI, 30%-77%] at 80 years; frontotemporal dementia: carriers [n = 48], 19% [95% CI, 12%-28%] at 60 years to 43% [95% CI, 35%-50%] at 80 years; noncarriers [n = 160], 5% [95% CI, 3%-8%] at 60 years to 14% [95% CI, 11%-18%] at 80 years; vascular dementia: carriers [n = 30], 25% [95% CI, 9%-52%] at 60 years to 64% [95% CI, 49%-77%] at 80 years; noncarriers [n = 77], 7% [95% CI, 3%-18%] at 60 years to 29% [95% CI, 17%-43%] at 80 years.

CONCLUSIONS AND RELEVANCE

Among participants with dementia, the prevalence of amyloid positivity was associated with clinical diagnosis, age, and APOE genotype. These findings indicate the potential clinical utility of amyloid imaging for differential diagnosis in early-onset dementia and to support the clinical diagnosis of participants with AD dementia and noncarrier APOE ε4 status who are older than 70 years.

Voyage au bout de la nuit: Aβ and tau imaging in dementias

The last decade has witnessed the development and characterization of tracers for the evaluation of neuropathology in vivo. The introduction of these tracers, namely β-amyloid (Aβ) and later tau, are providing the tools to change the landscape and refine our understanding of Aβ and tau deposition in the brain, allowing to investigate the causes, refine diagnosis and improve treatment of major neurodegenerative conditions such as Alzheimer's disease (AD), chronic traumatic encephalopathy (CTE) and frontotemporal lobar degeneration (FTLD). Aβ and tau imaging allow examination of the regional and global changes of these disease markers over time as well as their relationship with other relevant parameters such as cognitive performance and neurodegenerative changes. Aβ and tau imaging will enable to establish the role Aβ and tau play -and interplay- in aging and disease. Aβ and tau imaging value resides in being not only diagnostic, prognostic or progression markers, but also surrogate markers of disease, crucial for patient recruitment and efficacy evaluation of disease-specific therapies.

Comparison of simplified parametric methods for visual interpretation of 11C-Pittsburgh compound-B PET images

This study compared several parametric imaging methods to determine the optimal approach for visual assessment of parametric Pittsburgh compound-B ((11)C-PIB) PET images to detect cortical amyloid deposition in different memory clinic patient groups.

METHODS

Dynamic (11)C-PIB scanning of 120 memory clinic patients was performed. Parametric nondisplaceable binding potential (BPND) images were compared with standardized uptake value (SUV) and SUV ratio images. Images were visually assessed by 3 independent readers, and both interreader and intermethod agreement was determined.

RESULTS

Both 90-min (Fleiss κ = 0.88) and 60-min (Fleiss κ = 0.89) BPND images showed excellent interreader agreement, whereas agreement was good to moderate for SUV ratio images (Fleiss κ = 0.68) and SUV images (Fleiss κ = 0.59). Intermethod agreement varied substantially between readers, although BPND images consistently showed the best performance.

CONCLUSION

The use of BPND images provided the highest interreader and intermethod agreement and is therefore the method of choice for optimal visual interpretation of (11)C-PIB PET scans.

Long-term effects of amyloid, hypometabolism, and atrophy on neuropsychological functions

OBJECTIVE

To assess how amyloid deposition, glucose hypometabolism, and cerebral atrophy affect neuropsychological performance in patients with Alzheimer disease (AD) dementia, patients with mild cognitive impairment (MCI), and controls over time.

METHODS

A total of 41 patients with AD dementia, 28 patients with MCI, and 19 controls underwent [(11)C]-Pittsburgh compound B ((11)C-PiB) and [(18)F]-2-fluoro-2-deoxy-d-glucose ((18)F-FDG)-PET and MRI scans at baseline. We extracted global binding potential for (11)C-PiB, the number of abnormal voxels for (18)F-FDG, and gray matter volumes using SIENAX for MRI as measures of amyloid, hypometabolism, and atrophy. In addition, repeat neuropsychological testing was performed, including memory, attention, language, and executive tasks (mean follow-up 2.2 ± 0.7 years). Cross-sectional and longitudinal relationships between imaging markers and cognition were assessed using linear mixed models, including terms for the imaging markers, time, sex, age, diagnosis, and interactions for imaging marker × time and imaging marker × time × diagnosis.

RESULTS

Linear mixed models showed that baseline hypometabolism and atrophy were associated with poorer baseline performance on attention and executive functions (p < 0.05), whereas amyloid was not related to baseline cognition. Hypometabolism and amyloid were strongly associated with longitudinal decline in essentially all cognitive domains (pinteraction < 0.05), whereas atrophy was related specifically to future decline in Mini-Mental State Examination and memory (pinteraction < 0.05).

CONCLUSION

Glucose hypometabolism and brain atrophy were associated with concurrent cognitive function, whereas brain amyloid was not. Amyloid deposition and glucose hypometabolism were predictors for decline of a wide variety of cognitive functions, while brain atrophy specifically predicted memory deterioration.

The effect of amyloid pathology and glucose metabolism on cortical volume loss over time in Alzheimer's disease

PURPOSE

The present multimodal neuroimaging study examined whether amyloid pathology and glucose metabolism are related to cortical volume loss over time in Alzheimer's disease (AD) patients and healthy elderly controls.

METHODS

Structural MRI scans of eleven AD patients and ten controls were available at baseline and follow-up (mean interval 2.5 years). Change in brain structure over time was defined as percent change of cortical volume within seven a-priori defined regions that typically show the strongest structural loss in AD. In addition, two PET scans were performed at baseline: [(11)C]PIB to assess amyloid-β plaque load and [(18)F]FDG to assess glucose metabolism. [(11)C]PIB binding and [(18)F]FDG uptake were measured in the precuneus, a region in which both amyloid deposition and glucose hypometabolism occur early in the course of AD.

RESULTS

While amyloid-β plaque load at baseline was not related to cortical volume loss over time in either group, glucose metabolism within the group of AD patients was significantly related to volume loss over time (rho = 0.56, p < 0.05).

CONCLUSION

The present study shows that in a group of AD patients amyloid-β plaque load as measured by [(11)C]PIB behaves as a trait marker (i.e., all AD patients showed elevated levels of amyloid, not related to subsequent disease course), whilst hypometabolism as measured by [(18)F]FDG changed over time indicating that it could serve as a state marker that is predictive of neurodegeneration.

Differential effect of APOE genotype on amyloid load and glucose metabolism in AD dementia

OBJECTIVE

To examine the relationships between apolipoprotein E (APOE) ε4 dose and in vivo distributions of both fibrillary amyloid burden and glucose metabolism in the same Alzheimer disease dementia patients, selected for abnormal amyloid imaging.

METHODS

Twenty-two APOE ε4 negative, 40 heterozygous, and 22 homozygous Alzheimer disease dementia patients underwent dynamic (90 minutes) [(11)C]Pittsburgh compound B (PIB) and static [(18)F]fluorodeoxyglucose (FDG) PET scans. Parametric nondisplaceable binding potential images of [(11)C]PIB and standardized uptake value ratio images of [(18)F]FDG were generated using cerebellar gray matter as reference tissue. Frontal, parietal, temporal, posterior cingulate, and occipital cortices were selected as regions of interest.

RESULTS

Multivariate general linear models with adjustment for age, sex, and Mini-Mental State Examination showed main effects of APOE ε4 dose on distributions of both [(11)C]PIB (p for trend <0.05) and [(18)F]FDG (p for trend <0.01). More specifically, a univariate general linear model of individual regions showed increased [(11)C]PIB binding in frontal cortex of APOE ε4 noncarriers compared with APOE ε4 carriers (p < 0.05). In contrast, APOE ε4 carriers had reduced [(18)F]FDG uptake in occipital cortex (p < 0.05) and a borderline significant effect in posterior cingulate (p = 0.07) in a dose-dependent manner.

CONCLUSION

We found a reversed APOE ε4 dose effect for amyloid deposition in the frontal lobe, whereas APOE ε4 carriership was associated with more profound metabolic impairment in posterior parts of the cortex. These findings suggest that APOE genotype has a differential effect on the distribution of amyloid plaques and glucose metabolism. This may have important implications for emerging therapies that aim to directly intervene in the disease process.

Amyloid burden and metabolic function in early-onset Alzheimer's disease: parietal lobe involvement

Alzheimer's disease with early onset often presents with a distinct cognitive profile, potentially reflecting a different distribution of underlying neuropathology. The purpose of this study was to examine the relationships between age and both in vivo fibrillary amyloid deposition and glucose metabolism in patients with Alzheimer's disease. Dynamic [(11)C]Pittsburgh compound-B (90 min) and static [(18)F]fluorodeoxyglucose (15 min) scans were obtained in 100 patients with Alzheimer's disease and 20 healthy controls. Parametric non-displaceable binding potential images of [(11)C]Pittsburgh compound-B and standardized uptake value ratio images of [(18)F]fluorodeoxyglucose were generated using cerebellar grey matter as reference tissue. Nine [(11)C]Pittsburgh compound-B-negative patients were excluded. The remaining patients were categorized into younger (n=45, age: 56 ± 4 years) and older (n=46, age: 69 ± 5 years) groups, based on the median age (62 years) at time of diagnosis. Younger patients showed more severe impairment on visuo-spatial function, attention and executive function composite scores (P<0.05), while we found a trend towards poorer memory performance for older patients (P=0.11). Differences between groups were assessed using a general linear model with repeated measures (gender adjusted) with age as between subjects factor, region (frontal, temporal, parietal and occipital and posterior cingulate cortices) as within subjects factor and [(11)C]Pittsburgh compound-B binding/[(18)F]fluorodeoxyglucose uptake as dependent variables. There was no main effect of age for [(11)C]Pittsburgh compound-B or [(18)F]fluorodeoxyglucose, suggesting that overall, the extent of amyloid deposition or glucose hypometabolism did not differ between groups. Regional distributions of [(11)C]Pittsburgh compound-B binding and [(18)F]fluorodeoxyglucose uptake (both P for interaction <0.05) differed between groups, however, largely due to increased [(11)C]Pittsburgh compound-B binding and decreased [(18)F]fluorodeoxyglucose uptake in the parietal cortex of younger patients (both P<0.05). Linear regression analyses showed negative associations between visuo-spatial functioning and parietal [(11)C]Pittsburgh compound-B binding for younger patients (standardized β: -0.37) and between visuo-spatial functioning and occipital binding for older patients (standardized β: -0.39). For [(18)F]fluorodeoxyglucose, associations were found between parietal uptake with visuo-spatial (standardized β: 0.55), attention (standardized β: 0.39) and executive functioning (standardized β: 0.37) in younger patients, and between posterior cingulate uptake and memory in older patients (standardized β: 0.41, all P<0.05). These in vivo findings suggest that clinical differences between younger and older patients with Alzheimer's disease are not restricted to topographical differentiation in downstream processes but may originate from distinctive distributions of early upstream events. As such, increased amyloid burden, together with metabolic dysfunction, in the parietal lobe of younger patients with Alzheimer's disease may contribute to the distinct cognitive profile in these patients.