Literature DB >> 22331215

Performance characteristics of amyloid PET with florbetapir F 18 in patients with alzheimer's disease and cognitively normal subjects.

Abhinay D Joshi1, Michael J Pontecorvo, Chrisopher M Clark, Alan P Carpenter, Danna L Jennings, Carl H Sadowsky, Lee P Adler, Karel D Kovnat, John P Seibyl, Anupa Arora, Krishnendu Saha, Jason D Burns, Mark J Lowrey, Mark A Mintun, Daniel M Skovronsky.   

Abstract

UNLABELLED: The objectives of this study were to examine the effective dose range and the test-retest reliability of florbetapir F 18 using, first, visual assessment by independent raters masked to clinical information and, second, semiautomated quantitative measures of cortical target area to cerebellum standardized uptake value ratios (SUVr) as primary outcome measures. Visual ratings of PET image quality and tracer retention or β-amyloid (Aβ) binding expressed as SUVrs were compared after intravenous administration of either 111 MBq (3 mCi) or 370 MBq (10 mCi) of florbetapir F 18 in patients with Alzheimer's disease (AD) (n = 9) and younger healthy controls (YHCs) (n = 11). In a separate set of subjects (AD, n = 10; YHCs, n = 10), test-retest reliability was evaluated by comparing intrasubject visual read ratings and SUVrs for 2 PET images acquired within 4 wk of each other.
RESULTS: There were no meaningful differences between the 111-MBq (3-mCi) and 370-MBq (10-mCi) dose in the visual rating or SUVr. The difference in the visual quality across 111 and 370 MBq showed a trend toward lower image quality, but no statistical significance was achieved (t test; t(1) = -1.617, P = 0.12) in this relatively small sample of subjects. At both dose levels, visual ratings of amyloid burden identified 100% of AD subjects as Aβ-positive and 100% of YHCs as Aβ-negative. Mean intrasubject test-retest variability for cortical average SUVrs with the cerebellum as a reference over the 50- to 70-min period was 2.4% ± 1.41% for AD subjects and 1.5% ± 0.84% for controls. The overall SUVr test-retest correlation coefficient was 0.99. The overall κ-statistic for test-retest agreement for Aβ classification of the masked reads was 0.89 (95% confidence interval, 0.69-1.0).
CONCLUSION: Florbetapir F 18 appears to have a wide effective dose range and a high test-retest reliability for both quantitative (SUVr) values and visual assessment of the ligand. These imaging performance properties provide important technical information on the use of florbetapir F 18 and PET to detect cerebral amyloid aggregates.

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Year:  2012        PMID: 22331215     DOI: 10.2967/jnumed.111.090340

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  156 in total

1.  Cognitive and functional patterns of nondemented subjects with equivocal visual amyloid PET findings.

Authors:  P Payoux; J Delrieu; A Gallini; D Adel; A S Salabert; A Hitzel; C Cantet; M Tafani; D De Verbizier; J Darcourt; Ph Fernandez; J Monteil; I Carrié; T Voisin; S Gillette-Guyonnet; M Pontecorvo; B Vellas; S Andrieu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-05-08       Impact factor: 9.236

2.  Association of Head Injury with Brain Amyloid Deposition: The ARIC-PET Study.

Authors:  Andrea L C Schneider; Elizabeth Selvin; Menglu Liang; Lawrence Latour; L Christine Turtzo; Silvia Koton; Josef Coresh; Thomas Mosley; Christopher T Whitlow; Yun Zhou; Dean F Wong; Geoffrey Ling; Rebecca F Gottesman
Journal:  J Neurotrauma       Date:  2019-05-23       Impact factor: 5.269

3.  Long-term Changes in 18F-Flutemetamol Uptake in Nondemented Older Adults.

Authors:  Kevin Duff; Kevin P Horn; John M Hoffman
Journal:  Alzheimer Dis Assoc Disord       Date:  2019 Apr-Jun       Impact factor: 2.703

4.  Association of Cortical β-Amyloid with Erythrocyte Membrane Monounsaturated and Saturated Fatty Acids in Older Adults at Risk of Dementia.

Authors:  C Hooper; P De Souto Barreto; P Payoux; A S Salabert; S Guyonnet; S Andrieu; S Sourdet; J Delrieu; B Vellas
Journal:  J Nutr Health Aging       Date:  2017       Impact factor: 4.075

5.  Amyloid and FDG-PET study of logopenic primary progressive aphasia: evidence for the existence of two subtypes.

Authors:  Jordi A Matías-Guiu; María Nieves Cabrera-Martín; Teresa Moreno-Ramos; María Valles-Salgado; Marta Fernandez-Matarrubia; José Luis Carreras; Jorge Matías-Guiu
Journal:  J Neurol       Date:  2015-04-11       Impact factor: 4.849

6.  Correlation between two methods of florbetapir PET quantitative analysis.

Authors:  Christopher Breault; Jonathan Piper; Abhinay D Joshi; Sara D Pirozzi; Aaron S Nelson; Ming Lu; Michael J Pontecorvo; Mark A Mintun; Michael D Devous
Journal:  Am J Nucl Med Mol Imaging       Date:  2017-07-15

7.  Use of Standardized Uptake Value Ratios Decreases Interreader Variability of [18F] Florbetapir PET Brain Scan Interpretation.

Authors:  A P Nayate; J G Dubroff; J E Schmitt; I Nasrallah; R Kishore; D Mankoff; D A Pryma
Journal:  AJNR Am J Neuroradiol       Date:  2015-03-12       Impact factor: 3.825

8.  Optimizing Effect Sizes With Imaging Enrichment and Outcome Choices for Mild Alzheimer Disease Clinical Trials.

Authors:  Timothy S Chang; Edmond Teng; David Elashoff; Joshua D Grill
Journal:  Alzheimer Dis Assoc Disord       Date:  2017 Jan-Mar       Impact factor: 2.703

9.  Comparing positron emission tomography imaging and cerebrospinal fluid measurements of β-amyloid.

Authors:  Susan M Landau; Ming Lu; Abhinay D Joshi; Michael Pontecorvo; Mark A Mintun; John Q Trojanowski; Leslie M Shaw; William J Jagust
Journal:  Ann Neurol       Date:  2013-12       Impact factor: 10.422

10.  Aphasic variant of Alzheimer disease: Clinical, anatomic, and genetic features.

Authors:  Emily Rogalski; Jaiashre Sridhar; Benjamin Rader; Adam Martersteck; Kewei Chen; Derin Cobia; Cynthia K Thompson; Sandra Weintraub; Eileen H Bigio; M-Marsel Mesulam
Journal:  Neurology       Date:  2016-08-26       Impact factor: 9.910

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