Brain PET amyloid and neurodegeneration biomarkers in the context of the 2018 NIA-AA research framework: an individual approach exploring clinical-biomarker mismatches and sociodemographic parameters (vol 45, pg 616, 2020)

被引:3
|
作者
Coutinho, Artur Martins [1 ,2 ,3 ]
Busatto, Geraldo F. [2 ,4 ]
de Gobbi Porto, Fabio Henrique [2 ,4 ]
de Paula Faria, Daniele [1 ,2 ]
Ono, Carla Rachel [1 ,3 ]
Garcez, Alexandre Teles [1 ,2 ]
Squarzoni, Paula [2 ,4 ]
de Souza Duran, Fabio Luiz [2 ,4 ]
de Oliveira, Maira Okada [5 ]
Tres, Eduardo Sturzeneker [5 ]
Brucki, Sonia Maria Dozzi [5 ]
Forlenza, Orestes Vicente [6 ]
Nitrini, Ricardo [5 ]
Buchpiguel, Carlos Alberto [1 ,2 ,3 ]
机构
[1] Univ Sao Paulo, Dept Radiol & Oncol, Lab Nucl Med LIM43, Fac Med FMUSP, Sao Paulo, SP, Brazil
[2] Univ Sao Paulo, Nucleo Apoio Pesquisa Neurociencia Aplicada NAPN, Sao Paulo, SP, Brazil
[3] Univ Sao Paulo, Hosp Clin, Ctr Med Nucl, Fac Med,Inst Radiol, 2 Andar,Rua Doutor Ovidio Pires Campos 872, Sao Paulo, SP, Brazil
[4] Univ Sao Paulo, Dept Psychiat, Lab Psychiat Neuroimaging LIM 21, Fac Med FMUSP, Sao Paulo, SP, Brazil
[5] Univ Sao Paulo, Dept Neurol, Fac Med FMUSP, Sao Paulo, SP, Brazil
[6] Univ Sao Paulo, Dept Psychiat, Lab Neurosci LIM 27, Fac Med FMUSP, Sao Paulo, SP, Brazil
基金
巴西圣保罗研究基金会;
关键词
Alzheimer’s disease; Amyloid; Amyloid beta-peptides; Cognitive dysfunction; Education; Fluorodeoxyglucose F18; Positron-emission tomography;
D O I
10.1007/s00259-020-04933-5
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: [18F]FDG-PET and [11C]PIB-PET are validated as neurodegeneration and amyloid biomarkers of Alzheimer’s disease (AD). We used a PET staging system based on the 2018 NIA-AA research framework to compare the proportion of amyloid positivity (A+) and hypometabolism ((N)+) in cases of mild probable AD, amnestic mild cognitive impairment (aMCI), and healthy controls, incorporating an additional classification of abnormal [18F]FDG-PET patterns and investigating the co-occurrence of such with A+, exploring [18F]FDG-PET to generate hypotheses in cases presenting with clinical-biomarker “mismatches.” Methods: Elderly individuals (N = 108) clinically classified as controls (N = 27), aMCI (N = 43) or mild probable AD (N = 38) were included. Authors assessed their A(N) profiles and classified [18F]FDG-PET neurodegenerative patterns as typical or non-typical of AD, performing re-assessments of images whenever clinical classification was in disagreement with the PET staging (clinical-biomarker “mismatches”). We also investigated associations between “mismatches” and sociodemographic and educational characteristics. Results: AD presented with higher rates of A+ and (N)+. There was also a higher proportion of A+ and (N)+ individuals in the aMCI group in comparison to controls, however without statistical significance regarding the A staging. There was a significant association between amyloid positivity and AD (N)+ hypometabolic patterns typical of AD. Non-AD (N)+ hypometabolism was seen in all A− (N)+ cases in the mild probable AD and control groups and [18F]FDG-PET patterns classified such individuals as “SNAP” and one as probable frontotemporal lobar degeneration. All A− (N)− cases in the probable AD group had less than 4 years of formal education and lower socioeconomic status (SES). Conclusion: The PET-based staging system unveiled significant A(N) differences between AD and the other groups, whereas aMCI and controls had different (N) staging, explaining the cognitive impairment in aMCI. [18F]FDG-PET could be used beyond simple (N) staging, since it provided alternative hypotheses to cases with clinical-biomarker “mismatches.” An AD hypometabolic pattern correlated with amyloid positivity. Low education and SES were related to dementia in the absence of biomarker changes. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
引用
收藏
页码:2715 / 2716
页数:2
相关论文
共 1 条
  • [1] Brain PET amyloid and neurodegeneration biomarkers in the context of the 2018 NIA-AA research framework: an individual approach exploring clinical-biomarker mismatches and sociodemographic parameters
    Artur Martins Coutinho
    Geraldo F. Busatto
    Fábio Henrique de Gobbi Porto
    Daniele de Paula Faria
    Carla Rachel Ono
    Alexandre Teles Garcez
    Paula Squarzoni
    Fábio Luiz de Souza Duran
    Maira Okada de Oliveira
    Eduardo Sturzeneker Tres
    Sonia Maria Dozzi Brucki
    Orestes Vicente Forlenza
    Ricardo Nitrini
    Carlos Alberto Buchpiguel
    European Journal of Nuclear Medicine and Molecular Imaging, 2020, 47 : 2666 - 2680