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

Show full item record

Page view(s)

94
checked on Apr 24, 2024

Download(s)

29
checked on Apr 24, 2024

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons