Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/107793
Title: 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
Authors: Oliveira, Francisco 
Leuzy, Antoine
Castelhano, J. 
Chiotis, Konstantinos
Hasselbalch, Steen Gregers
Rinne, Juha
Mendonça, Alexandre de 
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 
Issue Date: 2018
Publisher: Elsevier
Serial title, monograph or event: NeuroImage: Clinical
Volume: 20
Abstract: 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 Aβ38, Aβ40 and Aβ42 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. Aβ38 and Aβ40 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 Aβ42, the Aβ42/Aβ40 or Aβ42/Aβ38 ratios were found compared to normalization based on cerebellar gray matter.
URI: https://hdl.handle.net/10316/107793
ISSN: 22131582
DOI: 10.1016/j.nicl.2018.08.023
Rights: openAccess
Appears in Collections:FMUC Medicina - Artigos em Revistas Internacionais
I&D ICNAS - Artigos em Revistas Internacionais
I&D CIBIT - Artigos em Revistas Internacionais

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