A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
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
Tekijät: 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
Kustantaja: Elsevier Inc.
Julkaisuvuosi: 2018
Journal: NeuroImage: Clinical
Tietokannassa oleva lehden nimi: NeuroImage: Clinical
Vuosikerta: 20
Aloitussivu: 603
Lopetussivu: 610
Sivujen määrä: 8
ISSN: 2213-1582
eISSN: 2213-1582
DOI: https://doi.org/10.1016/j.nicl.2018.08.023
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/35828224
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.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
