MAIRA OKADA DE OLIVEIRA

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LIM/45 - Laboratório de Fisiopatologia Neurocirúrgica, Hospital das Clínicas, Faculdade de Medicina

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Revista / Livro: European Journal of Nuclear Medicine and Molecular Imaging ×

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  • article 2 Citação(ões) na Scopus
    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)
    (2020) COUTINHO, Artur Martins; BUSATTO, Geraldo F.; PORTO, Fabio Henrique de Gobbi; FARIA, Daniele de Paula; ONO, Carla Rachel; GARCEZ, Alexandre Teles; SQUARZONI, Paula; DURAN, Fabio Luiz de Souza; OLIVEIRA, Maira Okada de; TRES, Eduardo Sturzeneker; BRUCKI, Sonia Maria Dozzi; FORLENZA, Orestes Vicente; NITRINI, Ricardo; BUCHPIGUEL, Carlos Alberto
  • conferenceObject
    A Brain PET staging system using Amyloid and Neurodegeneration Biomarkers for Individual Assessment in the Context of the 2018 NIA-AA Research Framework: an approach exploring clinical-biomarker mismatches and socio-demographic parameters
    (2019) COUTINHO, A. M. N.; PORTO, F.; FARIA, D. de Paula; ONO, C. R.; GARCEZ, A. T.; SQUARZONI, P.; DURAN, F. L. S.; OLIVEIRA, M. O.; TRES, E. S.; BUCKI, S. M. D.; FORLENZA, O. V.; NITRINI, R.; BUSATTO FILHO, G.; BUCHPIGUEL, C. A.
  • article 20 Citação(ões) na Scopus
    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
    (2020) COUTINHO, Artur Martins; BUSATTO, Geraldo F.; PORTO, Fabio Henrique de Gobbi; FARIA, Daniele de Paula; ONO, Carla Rachel; GARCEZ, Alexandre Teles; SQUARZONI, Paula; DURAN, Fabio Luiz de Souza; OLIVEIRA, Maira Okada de; TRES, Eduardo Sturzeneker; BRUCKI, Sonia Maria Dozzi; FORLENZA, Orestes Vicente; NITRINI, Ricardo; BUCHPIGUEL, Carlos Alberto
    Purpose [F-18]FDG-PET and [C-11]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 [F-18]FDG-PET patterns and investigating the co-occurrence of such with A+, exploring [F-18]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 [F-18]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 [F-18]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. [F-18]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.