Literature DB >> 21245183

Use of florbetapir-PET for imaging beta-amyloid pathology.

Christopher M Clark1, Julie A Schneider, Barry J Bedell, Thomas G Beach, Warren B Bilker, Mark A Mintun, Michael J Pontecorvo, Franz Hefti, Alan P Carpenter, Matthew L Flitter, Michael J Krautkramer, Hank F Kung, R Edward Coleman, P Murali Doraiswamy, Adam S Fleisher, Marwan N Sabbagh, Carl H Sadowsky, Eric P Reiman, P Eric M Reiman, Simone P Zehntner, Daniel M Skovronsky.   

Abstract

CONTEXT: The ability to identify and quantify brain β-amyloid could increase the accuracy of a clinical diagnosis of Alzheimer disease.
OBJECTIVE: To determine if florbetapir F 18 positron emission tomographic (PET) imaging performed during life accurately predicts the presence of β-amyloid in the brain at autopsy. DESIGN, SETTING, AND PARTICIPANTS: Prospective clinical evaluation conducted February 2009 through March 2010 of florbetapir-PET imaging performed on 35 patients from hospice, long-term care, and community health care facilities near the end of their lives (6 patients to establish the protocol and 29 to validate) compared with immunohistochemistry and silver stain measures of brain β-amyloid after their death used as the reference standard. PET images were also obtained in 74 young individuals (18-50 years) presumed free of brain amyloid to better understand the frequency of a false-positive interpretation of a florbetapir-PET image. MAIN OUTCOME MEASURES: Correlation of florbetapir-PET image interpretation (based on the median of 3 nuclear medicine physicians' ratings) and semiautomated quantification of cortical retention with postmortem β-amyloid burden, neuritic amyloid plaque density, and neuropathological diagnosis of Alzheimer disease in the first 35 participants autopsied (out of 152 individuals enrolled in the PET pathological correlation study).
RESULTS: Florbetapir-PET imaging was performed a mean of 99 days (range, 1-377 days) before death for the 29 individuals in the primary analysis cohort. Fifteen of the 29 individuals (51.7%) met pathological criteria for Alzheimer disease. Both visual interpretation of the florbetapir-PET images and mean quantitative estimates of cortical uptake were correlated with presence and quantity of β-amyloid pathology at autopsy as measured by immunohistochemistry (Bonferroni ρ, 0.78 [95% confidence interval, 0.58-0.89]; P <.001]) and silver stain neuritic plaque score (Bonferroni ρ, 0.71 [95% confidence interval, 0.47-0.86]; P <.001). Florbetapir-PET images and postmortem results rated as positive or negative for β-amyloid agreed in 96% of the 29 individuals in the primary analysis cohort. The florbetapir-PET image was rated as amyloid negative in the 74 younger individuals in the nonautopsy cohort.
CONCLUSIONS: Florbetapir-PET imaging was correlated with the presence and density of β-amyloid. These data provide evidence that a molecular imaging procedure can identify β-amyloid pathology in the brains of individuals during life. Additional studies are required to understand the appropriate use of florbetapir-PET imaging in the clinical diagnosis of Alzheimer disease and for the prediction of progression to dementia.

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Year:  2011        PMID: 21245183      PMCID: PMC7041965          DOI: 10.1001/jama.2010.2008

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  34 in total

1.  Tangles and plaques in nondemented aging and "preclinical" Alzheimer's disease.

Authors:  J L Price; J C Morris
Journal:  Ann Neurol       Date:  1999-03       Impact factor: 10.422

2.  The Alzheimer's Disease Neuroimaging Initiative positron emission tomography core.

Authors:  William J Jagust; Dan Bandy; Kewei Chen; Norman L Foster; Susan M Landau; Chester A Mathis; Julie C Price; Eric M Reiman; Daniel Skovronsky; Robert A Koeppe
Journal:  Alzheimers Dement       Date:  2010-05       Impact factor: 21.566

Review 3.  The role of biomarkers in clinical trials for Alzheimer disease.

Authors:  Leon J Thal; Kejal Kantarci; Eric M Reiman; William E Klunk; Michael W Weiner; Henrik Zetterberg; Douglas Galasko; Domenico Praticò; Sue Griffin; Dale Schenk; Eric Siemers
Journal:  Alzheimer Dis Assoc Disord       Date:  2006 Jan-Mar       Impact factor: 2.703

4.  Amyloid imaging results from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging.

Authors:  Christopher C Rowe; Kathryn A Ellis; Miroslava Rimajova; Pierrick Bourgeat; Kerryn E Pike; Gareth Jones; Jurgen Fripp; Henri Tochon-Danguy; Laurence Morandeau; Graeme O'Keefe; Roger Price; Parnesh Raniga; Peter Robins; Oscar Acosta; Nat Lenzo; Cassandra Szoeke; Olivier Salvado; Richard Head; Ralph Martins; Colin L Masters; David Ames; Victor L Villemagne
Journal:  Neurobiol Aging       Date:  2010-05-15       Impact factor: 4.673

5.  18F stilbenes and styrylpyridines for PET imaging of A beta plaques in Alzheimer's disease: a miniperspective.

Authors:  Hank F Kung; Seok Rye Choi; Wenchao Qu; Wei Zhang; Daniel Skovronsky
Journal:  J Med Chem       Date:  2010-02-11       Impact factor: 7.446

6.  Neuropathological and neuropsychological changes in "normal" aging: evidence for preclinical Alzheimer disease in cognitively normal individuals.

Authors:  C M Hulette; K A Welsh-Bohmer; M G Murray; A M Saunders; D C Mash; L M McIntyre
Journal:  J Neuropathol Exp Neurol       Date:  1998-12       Impact factor: 3.685

7.  Utility of the apolipoprotein E genotype in the diagnosis of Alzheimer's disease. Alzheimer's Disease Centers Consortium on Apolipoprotein E and Alzheimer's Disease.

Authors:  R Mayeux; A M Saunders; S Shea; S Mirra; D Evans; A D Roses; B T Hyman; B Crain; M X Tang; C H Phelps
Journal:  N Engl J Med       Date:  1998-02-19       Impact factor: 91.245

8.  Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade.

Authors:  Clifford R Jack; David S Knopman; William J Jagust; Leslie M Shaw; Paul S Aisen; Michael W Weiner; Ronald C Petersen; John Q Trojanowski
Journal:  Lancet Neurol       Date:  2010-01       Impact factor: 44.182

9.  Diagnosing cognitive impairment and dementia in primary health care -- a more active approach is needed.

Authors:  Minna Löppönen; Ismo Räihä; Raimo Isoaho; Tero Vahlberg; Sirkka-Liisa Kivelä
Journal:  Age Ageing       Date:  2003-11       Impact factor: 10.668

10.  Imaging of amyloid beta in Alzheimer's disease with 18F-BAY94-9172, a novel PET tracer: proof of mechanism.

Authors:  Christopher C Rowe; Uwe Ackerman; William Browne; Rachel Mulligan; Kerryn L Pike; Graeme O'Keefe; Henry Tochon-Danguy; Gordon Chan; Salvatore U Berlangieri; Gareth Jones; Kerryn L Dickinson-Rowe; Hank P Kung; Wei Zhang; Mei Ping Kung; Daniel Skovronsky; Thomas Dyrks; Gerhard Holl; Sabine Krause; Matthias Friebe; Lutz Lehman; Stefanie Lindemann; Ludger M Dinkelborg; Colin L Masters; Victor L Villemagne
Journal:  Lancet Neurol       Date:  2008-01-10       Impact factor: 44.182

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  409 in total

1.  The influence of polysorbate 80 on the radiochemical synthesis of a PET tracer in the FASTlab.

Authors:  Wai Lam Yip; Sverre Arne Sande; David Grace; Dirk Jan in't Veld; Per Christian Sontum; Tina Solvang; Knut Dyrstad
Journal:  Pharm Res       Date:  2014-10-31       Impact factor: 4.200

Review 2.  Amyloid imaging as a biomarker for cerebral β-amyloidosis and risk prediction for Alzheimer dementia.

Authors:  William E Klunk
Journal:  Neurobiol Aging       Date:  2011-12       Impact factor: 4.673

Review 3.  Evolution of the diagnostic criteria for degenerative and cognitive disorders.

Authors:  Oscar L Lopez; Eric McDade; Mario Riverol; James T Becker
Journal:  Curr Opin Neurol       Date:  2011-12       Impact factor: 5.710

4.  Neocortical and hippocampal amyloid-β and tau measures associate with dementia in the oldest-old.

Authors:  John L Robinson; Felix Geser; Maria M Corrada; Daniel J Berlau; Steven E Arnold; Virginia M-Y Lee; Claudia H Kawas; John Q Trojanowski
Journal:  Brain       Date:  2011-11-26       Impact factor: 13.501

5.  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

6.  First FDA-approved beta-amyloid diagnostic hits the market.

Authors:  Ken Garber
Journal:  Nat Biotechnol       Date:  2012-07-10       Impact factor: 54.908

7.  β-Amyloid burden in healthy aging: regional distribution and cognitive consequences.

Authors:  K M Rodrigue; K M Kennedy; M D Devous; J R Rieck; A C Hebrank; R Diaz-Arrastia; D Mathews; D C Park
Journal:  Neurology       Date:  2012-02-01       Impact factor: 9.910

8.  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

Review 9.  Biomarker modelling of early molecular changes in Alzheimer's disease.

Authors:  Ross W Paterson; Jamie Toombs; Catherine F Slattery; Jonathan M Schott; Henrik Zetterberg
Journal:  Mol Diagn Ther       Date:  2014-04       Impact factor: 4.074

10.  A novel method for quantifying peripheral tissue amyloid load by using the radiolabeled amyloidophilic peptide, p5.

Authors:  Jonathan S Wall; Tina Richey; Sally Macy; Eric Heidel; Craig Wooliver; Stephen J Kennel
Journal:  Amyloid       Date:  2013-01-17       Impact factor: 7.141

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