Literature DB >> 33968273

A 4-Year Follow-Up of Subjects with Visually Equivocal Amyloid Positron Emission Tomography Findings from the Alzheimer's Disease Neuroimaging Initiative Cohort.

Minyoung Oh1, Minjung Seo2, Sun Young Oh3, Heeyoung Kim4, Byung Wook Choi5, Jungsu S Oh1, Jae Seung Kim1.   

Abstract

BACKGROUND: To date, the clinical significance of visually equivocal amyloid positron emission tomography (PET) has not been well established.
OBJECTIVE: We studied the clinical significance of equivocal amyloid PET images from the Alzheimer's Disease Neuroimaging Initiative (ADNI).
METHODS: Subjects with F-18 florbetapir PET scans at baseline who were followed up for 4 years were selected. Clinical characteristics, imaging biomarkers, cognitive function, and rate of conversion to AD were compared in subjects with visually equivocal findings.
RESULTS: Of 249 subjects who completed the follow-up, 153 (61.4%), 20 (8.0%), and 129 (30.5%) were F-18 florbetapir-negative, -equivocal, and -positive, respectively. The mean standardized uptake value ratios (SUVR) of F-18 florbetapir PET were 0.75 ± 0.04, 0.85 ± 0.10, and 1.00 ± 0.09 for each group (p <0.001 between groups), and 15.0%, 70.0%, and 98.7% of patients were quantitatively above the positive threshold. The change in the SUVR of F-18 florbetapir PET was higher in the equivocal (6.09 ± 3.61%, p <0.001) and positive (3.13 ± 4.38%, p <0.001) groups than the negative group (0.88 ± 4.28%). Among the subjects with normal or subjective memory impairment and mild cognitive impairment, 5.3% with negative amyloid PET and 37.5% with positive amyloid PET converted to AD over the 4-year period. None of the equivocal amyloid PET subjects converted to AD during this period.
CONCLUSION: Approximately 8% of subjects from the ADNI cohort showed visually equivocal amyloid PET scans with intermediate load and rapid accumulation of amyloid, but did not convert to AD during the 4-year follow-up. © Korean Society of Nuclear Medicine 2021.

Entities:  

Keywords:  Alzheimer disease; Amyloid; Cognitive dysfunction; Positron-emission tomography

Year:  2021        PMID: 33968273      PMCID: PMC8053637          DOI: 10.1007/s13139-021-00690-x

Source DB:  PubMed          Journal:  Nucl Med Mol Imaging        ISSN: 1869-3474


  32 in total

1.  Performance of 11C-Pittsburgh Compound B PET Binding Potential Images in the Detection of Amyloid Deposits on Equivocal Static Images.

Authors:  Chisa Hosokawa; Kazunari Ishii; Yuichi Kimura; Tomoko Hyodo; Makoto Hosono; Kenta Sakaguchi; Kimio Usami; Kenji Shimamoto; Yuzuru Yamazoe; Takamichi Murakami
Journal:  J Nucl Med       Date:  2015-09-10       Impact factor: 10.057

2.  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

3.  Staging dementia using Clinical Dementia Rating Scale Sum of Boxes scores: a Texas Alzheimer's research consortium study.

Authors:  Sid E O'Bryant; Stephen C Waring; C Munro Cullum; James Hall; Laura Lacritz; Paul J Massman; Philip J Lupo; Joan S Reisch; Rachelle Doody
Journal:  Arch Neurol       Date:  2008-08

4.  Associations between cognitive, functional, and FDG-PET measures of decline in AD and MCI.

Authors:  Susan M Landau; Danielle Harvey; Cindee M Madison; Robert A Koeppe; Eric M Reiman; Norman L Foster; Michael W Weiner; William J Jagust
Journal:  Neurobiol Aging       Date:  2009-08-05       Impact factor: 4.673

5.  Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers.

Authors:  Clifford R Jack; David S Knopman; William J Jagust; Ronald C Petersen; Michael W Weiner; Paul S Aisen; Leslie M Shaw; Prashanthi Vemuri; Heather J Wiste; Stephen D Weigand; Timothy G Lesnick; Vernon S Pankratz; Michael C Donohue; John Q Trojanowski
Journal:  Lancet Neurol       Date:  2013-02       Impact factor: 44.182

6.  Transformation of amyloid β(1-40) oligomers into fibrils is characterized by a major change in secondary structure.

Authors:  Rabia Sarroukh; Emilie Cerf; Sylvie Derclaye; Yves F Dufrêne; Erik Goormaghtigh; Jean-Marie Ruysschaert; Vincent Raussens
Journal:  Cell Mol Life Sci       Date:  2010-09-19       Impact factor: 9.261

7.  Florbetapir (F18-AV-45) PET to assess amyloid burden in Alzheimer's disease dementia, mild cognitive impairment, and normal aging.

Authors:  Keith A Johnson; Reisa A Sperling; Christopher M Gidicsin; Jeremy S Carmasin; Jacqueline E Maye; Ralph E Coleman; Eric M Reiman; Marwan N Sabbagh; Carl H Sadowsky; Adam S Fleisher; P Murali Doraiswamy; Alan P Carpenter; Christopher M Clark; Abhinay D Joshi; Ming Lu; Michel Grundman; Mark A Mintun; Michel J Pontecorvo; Daniel M Skovronsky
Journal:  Alzheimers Dement       Date:  2013-01-30       Impact factor: 21.566

Review 8.  Tau in physiology and pathology.

Authors:  Yipeng Wang; Eckhard Mandelkow
Journal:  Nat Rev Neurosci       Date:  2015-12-03       Impact factor: 34.870

9.  Amyloid PET imaging in Alzheimer's disease: a comparison of three radiotracers.

Authors:  S M Landau; B A Thomas; L Thurfjell; M Schmidt; R Margolin; M Mintun; M Pontecorvo; S L Baker; W J Jagust
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-03-20       Impact factor: 9.236

Review 10.  Aβ toxicity in Alzheimer's disease.

Authors:  Virve Cavallucci; Marcello D'Amelio; Francesco Cecconi
Journal:  Mol Neurobiol       Date:  2012-03-14       Impact factor: 5.590

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