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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

Authors :
Francisco Oliveira
Antoine Leuzy
João Castelhano
Konstantinos Chiotis
Steen Gregers Hasselbalch
Juha Rinne
Alexandre Mendonça
Markus Otto
Alberto Lleó
Isabel Santana
Jarkko Johansson
Sarah Anderl-Straub
Christine Arnim
Ambros Beer
Rafael Blesa
Juan Fortea
Herukka Sanna-Kaisa
Erik Portelius
Josef Pannee
Henrik Zetterberg
Kaj Blennow
Ana P. Moreira
Antero Abrunhosa
Agneta Nordberg
Miguel Castelo-Branco
Source :
NeuroImage: Clinical, Vol 20, Iss , Pp 603-610 (2018)
Publication Year :
2018
Publisher :
Elsevier, 2018.

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.

Details

Language :
English
ISSN :
22131582
Volume :
20
Issue :
603-610
Database :
Directory of Open Access Journals
Journal :
NeuroImage: Clinical
Publication Type :
Academic Journal
Accession number :
edsdoj.8be542ffbf484b0c91822d45d936064c
Document Type :
article
Full Text :
https://doi.org/10.1016/j.nicl.2018.08.023