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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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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 |
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author | 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 |
author_facet | 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 |
author_sort | Oliveira, Francisco |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6120605 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-61206052018-09-05 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 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 Neuroimage Clin Regular Article 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. Elsevier 2018-08-19 /pmc/articles/PMC6120605/ /pubmed/30186764 http://dx.doi.org/10.1016/j.nicl.2018.08.023 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Regular Article 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 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 |
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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Regular Article |
url | 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 |
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