Literature DB >> 21481640

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

Henryk Barthel1, Hermann-Josef Gertz, Stefan Dresel, Oliver Peters, Peter Bartenstein, Katharina Buerger, Florian Hiemeyer, Sabine M Wittemer-Rump, John Seibyl, Cornelia Reininger, Osama Sabri.   

Abstract

BACKGROUND: Imaging with amyloid-β PET can potentially aid the early and accurate diagnosis of Alzheimer's disease. Florbetaben (¹⁸F) is a promising ¹⁸F-labelled amyloid-β-targeted PET tracer in clinical development. We aimed to assess the sensitivity and specificity of florbetaben (¹⁸F) 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 (¹⁸F) 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 < 0·0001) compared with the healthy controls, with the posterior cingulate being the best discriminator. Linear discriminant analysis of regional SUVRs yielded a sensitivity of 85% and a specificity of 91%. Regional SUVRs also correlated well with scores of cognitive impairment such as the MMSE and the word-list memory and word-list recall scores (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 (¹⁸F) amyloid-β PET and suggest its potential as a visual adjunct in the diagnostic algorithm of dementia. FUNDING: Bayer Schering Pharma AG.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21481640     DOI: 10.1016/S1474-4422(11)70077-1

Source DB:  PubMed          Journal:  Lancet Neurol        ISSN: 1474-4422            Impact factor:   44.182


  199 in total

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Authors:  Wai Lam Yip; Sverre Arne Sande; David Grace; Dirk Jan in't Veld; Per Christian Sontum; Tina Solvang; Knut Dyrstad
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2.  Amyloid-β imaging with PET in Alzheimer's disease: is it feasible with current radiotracers and technologies?

Authors:  Mateen C Moghbel; Babak Saboury; Sandip Basu; Scott D Metzler; Drew A Torigian; Bengt Långström; Abass Alavi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-02       Impact factor: 9.236

Review 3.  Combined PET/MRI: Multi-modality Multi-parametric Imaging Is Here: Summary Report of the 4th International Workshop on PET/MR Imaging; February 23-27, 2015, Tübingen, Germany.

Authors:  D L Bailey; B J Pichler; B Gückel; H Barthel; A J Beer; J Bremerich; J Czernin; A Drzezga; C Franzius; V Goh; M Hartenbach; H Iida; A Kjaer; C la Fougère; C N Ladefoged; I Law; K Nikolaou; H H Quick; O Sabri; J Schäfer; M Schäfers; H F Wehrl; T Beyer
Journal:  Mol Imaging Biol       Date:  2015-10       Impact factor: 3.488

Review 4.  PET/MRI of central nervous system: current status and future perspective.

Authors:  Zhen Lu Yang; Long Jiang Zhang
Journal:  Eur Radiol       Date:  2016-01-15       Impact factor: 5.315

Review 5.  Dissecting Complex and Multifactorial Nature of Alzheimer's Disease Pathogenesis: a Clinical, Genomic, and Systems Biology Perspective.

Authors:  Puneet Talwar; Juhi Sinha; Sandeep Grover; Chitra Rawat; Suman Kushwaha; Rachna Agarwal; Vibha Taneja; Ritushree Kukreti
Journal:  Mol Neurobiol       Date:  2015-09-09       Impact factor: 5.590

6.  Feasibility and acceptance of simultaneous amyloid PET/MRI.

Authors:  Lisa Schütz; Donald Lobsien; Dominik Fritzsch; Solveig Tiepolt; Peter Werner; Matthias L Schroeter; Jörg Berrouschot; Dorothee Saur; Swen Hesse; Thies Jochimsen; Michael Rullmann; Bernhard Sattler; Marianne Patt; Hermann-Josef Gertz; Arno Villringer; Joseph Claßen; Karl-Titus Hoffmann; Osama Sabri; Henryk Barthel
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-07-19       Impact factor: 9.236

7.  Mild to moderate Alzheimer dementia with insufficient neuropathological changes.

Authors:  Alberto Serrano-Pozo; Jing Qian; Sarah E Monsell; Deborah Blacker; Teresa Gómez-Isla; Rebecca A Betensky; John H Growdon; Keith A Johnson; Matthew P Frosch; Reisa A Sperling; Bradley T Hyman
Journal:  Ann Neurol       Date:  2014-04-08       Impact factor: 10.422

Review 8.  Positron emission tomography radioligands for in vivo imaging of Aβ plaques.

Authors:  N Scott Mason; Chester A Mathis; William E Klunk
Journal:  J Labelled Comp Radiopharm       Date:  2013 Mar-Apr       Impact factor: 1.921

9.  Adaptive template generation for amyloid PET using a deep learning approach.

Authors:  Seung Kwan Kang; Seongho Seo; Seong A Shin; Min Soo Byun; Dong Young Lee; Yu Kyeong Kim; Dong Soo Lee; Jae Sung Lee
Journal:  Hum Brain Mapp       Date:  2018-05-11       Impact factor: 5.038

Review 10.  Amyloid Imaging: Poised for Integration into Medical Practice.

Authors:  Keshav Anand; Marwan Sabbagh
Journal:  Neurotherapeutics       Date:  2017-01       Impact factor: 7.620

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