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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

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 Alzheime...

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Detalles Bibliográficos
Autores principales: Oliveira, Francisco, Leuzy, Antoine, Castelhano, João, Chiotis, Konstantinos, Hasselbalch, Steen Gregers, Rinne, Juha, Mendonça, Alexandre, Otto, Markus, Lleó, Alberto, Santana, Isabel, Johansson, Jarkko, Anderl-Straub, Sarah, Arnim, Christine, Beer, Ambros, Blesa, Rafael, Fortea, Juan, Sanna-Kaisa, Herukka, Portelius, Erik, Pannee, Josef, Zetterberg, Henrik, Blennow, Kaj, Moreira, Ana P., Abrunhosa, Antero, Nordberg, Agneta, Castelo-Branco, Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6120605/
https://www.ncbi.nlm.nih.gov/pubmed/30186764
http://dx.doi.org/10.1016/j.nicl.2018.08.023
Descripción
Sumario: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(38), Aβ(40) and Aβ(42) 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(38) and Aβ(40) 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(42), the Aβ(42)/Aβ(40) or Aβ(42)/Aβ(38) ratios were found compared to normalization based on cerebellar gray matter.