Web of Science: 11 cites, Scopus: 12 cites, Google Scholar: cites,
Data driven diagnostic classification in Alzheimer's disease based on different reference regions for normalization of PiB-PET images and correlation with CSF concentrations of Aβ species
Oliveira, Francisco (University of Coimbra)
Leuzy, Antoine (Karolinska Institutet (Estocolm, Suècia))
Castelhano, Joäo (University of Coimbra)
Chiotis, Konstantinos (Karolinska Institutet (Estocolm, Suècia))
Hasselbalch, Steen Gregers (University of Copenhagen)
Rinne, Juha (University of Turku)
Mendonça, Alexandre (University of Lisbon)
Otto, Markus (University of Ulm)
Lleó, Alberto (Institut d'Investigació Biomèdica Sant Pau)
Santana, Isabel (University of Coimbra)
Johansson, Jarkko (Turku University Hospital (Finlàndia))
Anderl-Straub, Sarah (University of Ulm)
Arnim, Christine (University of Ulm)
Beer, Ambros (Ulleval University Hospital (Norway))
Blesa, Rafael (Institut d'Investigació Biomèdica Sant Pau)
Fortea, Juan (Institut d'Investigació Biomèdica Sant Pau)
Sanna-Kaisa, Herukka (University of Eastern Finland and Kuopio University Hospital)
Portelius, Erik (Sahlgrenska University Hospital (Suècia))
Pannee, Josef (Sahlgrenska University Hospital (Suècia))
Zetterberg, Henrik. (UK Dementia Research Institute)
Blennow, Kaj (Sahlgrenska University Hospital (Suècia))
Moreira, Ana P. (University of Coimbra)
Abrunhosa, Antero (University of Coimbra)
Nordberg, Agneta (Karolinska University Hospital and Karolinska Institutet (Suecia))
Castelo-Branco, Miguel (University of Coimbra)
Universitat Autònoma de Barcelona

Data: 2018
Resum: Positron emission tomography (PET) neuroimaging with the Pittsburgh Compound_B (PiB) is widely used to assess amyloid plaque burden. Standard quantification approaches normalize PiB-PET by mean cerebellar gray matter uptake. Previous studies suggested similar pons and white-matter uptake in Alzheimer's disease (AD) and healthy controls (HC), but lack exhaustive comparison of normalization across the three regions, with data-driven diagnostic classification. We aimed to compare the impact of distinct reference regions in normalization, measured by data-driven statistical analysis, and correlation with cerebrospinal fluid (CSF) amyloid β (Aβ) species concentrations. 243 individuals with clinical diagnosis of AD, HC, mild cognitive impairment (MCI) and other dementias, from the Biomarkers for Alzheimer's/Parkinson's Disease (BIOMARKAPD) initiative were included. PiB-PET images and CSF concentrations of Aβ, Aβ and Aβ were submitted to classification using support vector machines. Voxel-wise group differences and correlations between normalized PiB-PET images and CSF Aβ concentrations were calculated. Normalization by cerebellar gray matter and pons yielded identical classification accuracy of AD (accuracy-96%, sensitivity-96%, specificity-95%), and significantly higher than Aβ concentrations (best accuracy 91%). Normalization by the white-matter showed decreased extent of statistically significant multivoxel patterns and was the only method not outperforming CSF biomarkers, suggesting statistical inferiority. Aβ and Aβ correlated negatively with PiB-PET images normalized by the white-matter, corroborating previous observations of correlations with non-AD-specific subcortical changes in white-matter. In general, when using the pons as reference region, higher voxel-wise group differences and stronger correlation with Aβ, the Aβ/Aβ or Aβ/Aβ ratios were found compared to normalization based on cerebellar gray matter.
Ajuts: Ministerio de Ciencia e Innovación PI11/03035
Ministerio de Ciencia e Innovación PI11/02425
Ministerio de Economía y Competitividad PI14/01126
Ministerio de Economía y Competitividad PI13/01532
Ministerio de Economía y Competitividad PI14/01561
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Llengua: Anglès
Document: Article ; recerca ; Versió publicada
Publicat a: NeuroImage, Vol. 20 (january 2018) , p. 603-610, ISSN 2213-1582

DOI: 10.1016/j.nicl.2018.08.023
PMID: 30186764


8 p, 1.0 MB

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Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències de la salut i biociències > Institut de Recerca Sant Pau
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 Registre creat el 2024-01-19, darrera modificació el 2024-03-07



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