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Journal ArticleDOI

Cerebral amyloid-β PET with florbetaben (18F) in patients with Alzheimer's disease and healthy controls: a multicentre phase 2 diagnostic study

TLDR
The diagnostic efficacy of the scans was established in differentiating between patients with probable disease and age-matched healthy controls on the basis of neocortical tracer uptake pattern 90-110 min post-injection and the sensitivity and specificity of florbetaben (¹⁸F) PET was assessed.
Abstract
Summary Background Imaging with amyloid-β PET can potentially aid the early and accurate diagnosis of Alzheimer's disease. Florbetaben ( 18 F) is a promising 18 F-labelled amyloid-β-targeted PET tracer in clinical development. We aimed to assess the sensitivity and specificity of florbetaben ( 18 F) PET in discriminating between patients with probable Alzheimer's disease and elderly healthy controls. Methods We did a multicentre, open-label, non-randomised phase 2 study in 18 centres in Australia, Germany, Switzerland, and the USA. Imaging with florbetaben ( 18 F) PET was done on patients with probable Alzheimer's disease (age 55 years or older, mini-mental state examination [MMSE] score=18–26, clinical dementia rating [CDR]=0·5–2·0) and age-matched healthy controls (MMSE ≥28, CDR=0). Our primary objective was to establish the diagnostic efficacy of the scans in differentiating between patients with probable disease and age-matched healthy controls on the basis of neocortical tracer uptake pattern 90–110 min post-injection. PET images were assessed visually by three readers masked to the clinical diagnosis and all other clinical findings, and quantitatively by use of pre-established brain volumes of interest to obtain standard uptake value ratios (SUVRs), taking the cerebellar cortex as the reference region. This study is registered with ClinicalTrials.gov, number NCT00750282. Findings 81 participants with probable Alzheimer's disease and 69 healthy controls were assessed. Independent visual assessment of the PET scans showed a sensitivity of 80% (95% CI 71–89) and a specificity of 91% (84–98) for discriminating participants with Alzheimer's disease from healthy controls. The SUVRs in all neocortical grey-matter regions in participants with Alzheimer's disease were significantly higher (p r −0·27 to −0·33, p≤0·021). APOE ɛ4 was more common in participants with positive PET images compared with those with negative scans (65% vs 22% [p=0·027] in patients with Alzheimer's disease; 50% vs 16% [p=0·074] in healthy controls). No safety concerns were noted. Interpretation We provide verification of the efficacy, safety, and biological relevance of florbetaben ( 18 F) amyloid-β PET and suggest its potential as a visual adjunct in the diagnostic algorithm of dementia. Funding Bayer Schering Pharma AG.

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Citations
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Impact of Amyloid Burden on Regional Functional Synchronization in the Cognitively Normal Older Adults.

TL;DR: The findings suggest that regional functional synchronization might have distinctive association patterns with Aβ retention in the cognitively normal older adults, and can enrich the functional characterization of early stages of disease progression in AD.
Journal ArticleDOI

Ensemble of ROI-based convolutional neural network classifiers for staging the Alzheimer disease spectrum from magnetic resonance imaging.

TL;DR: TVP-based ROI analysis using a CNN provides informative landmarks in cerebral MRIs and may have significance in clinical studies and computer-aided diagnosis system design.
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Enzyme-linked immunosorbent assay-based method to quantify the association of small molecules with aggregated amyloid peptides.

TL;DR: This simple protocol for quantifying the interaction of small molecules with aggregated Aβ peptides overcomes many limitations of previously reported spectroscopic or radioactivity assays and may facilitate the screening and evaluation of a more structurally diverse set of amyloid-targeting agents than had previously been possible.
Journal ArticleDOI

Lacsogram: A New EEG Tool to Diagnose Alzheimer's Disease

TL;DR: In this article, the authors proposed the application of a new electroencephalogram (EEG) signal processing tool -the lacsogram -to characterize the Alzheimer's disease (AD) activity and to assist on its diagnosis at different stages: Mild Cognitive Impairment (MCI), Mild and Moderate AD (ADM) and Advanced AD (ADA).
References
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Journal ArticleDOI

“Mini-mental state”: A practical method for grading the cognitive state of patients for the clinician

TL;DR: A simplified, scored form of the cognitive mental status examination, the “Mini-Mental State” (MMS) which includes eleven questions, requires only 5-10 min to administer, and is therefore practical to use serially and routinely.

A practical method for grading the cognitive state of patients for the clinician

TL;DR: The Mini-Mental State (MMS) as mentioned in this paper is a simplified version of the standard WAIS with eleven questions and requires only 5-10 min to administer, and is therefore practical to use serially and routinely.
Journal ArticleDOI

Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach.

TL;DR: A nonparametric approach to the analysis of areas under correlated ROC curves is presented, by using the theory on generalized U-statistics to generate an estimated covariance matrix.
Journal ArticleDOI

Neuropathological stageing of Alzheimer-related changes.

Heiko Braak, +1 more
TL;DR: The investigation showed that recognition of the six stages required qualitative evaluation of only a few key preparations, permitting the differentiation of six stages.
Journal ArticleDOI

Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain

TL;DR: An anatomical parcellation of the spatially normalized single-subject high-resolution T1 volume provided by the Montreal Neurological Institute was performed and it is believed that this tool is an improvement for the macroscopical labeling of activated area compared to labeling assessed using the Talairach atlas brain.
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