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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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Journal ArticleDOI

Amyloid Positivity in the Alzheimer/Subcortical-Vascular Spectrum.

TL;DR: In this paper, the frequency of β-amyloid (Aβ) positivity in 9 groups classified according to a combination of 3 different cognition states and 3 distinct levels of white matter hyperintensities (WMH) (minimal, moderate, and severe) was investigated.
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Abnormal Regional and Global Connectivity Measures in Subjective Cognitive Decline Depending on Cerebral Amyloid Status

TL;DR: Functional alterations in the precuneus hub region that were related to amyloid-β load are indicated, highlighting incipient pathology in stage 2 of the AD continuum.
Journal ArticleDOI

Association of Dipeptidyl Peptidase-4 Inhibitor Use and Amyloid Burden in Patients With Diabetes and AD-Related Cognitive Impairment.

TL;DR: In this article, the authors investigated whether dipeptidyl peptidase-4 inhibitors (DPP-4i) have beneficial effects on amyloid aggregation and longitudinal cognitive outcome in diabetic Alzheimer disease-related cognitive impairment.
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Adaptive template generation for amyloid PET using a deep learning approach

TL;DR: In this paper, the authors applied deep neural networks to generate individually adaptive PET templates for robust and accurate spatial normalization of amyloid PET images without using matched 3D MR images.
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Recent Advances in Neuroimaging Biomarkers in Geriatric Psychiatry

TL;DR: Current and recent developments in developing neuroimaging biomarkers for two highly prevalent disorders in the elderly population- Alzheimer’s disease and late-life depression are analyzed.
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.
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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.
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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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