Cargando…
Volume of interest-based [(18)F]fluorodeoxyglucose PET discriminates MCI converting to Alzheimer's disease from healthy controls. A European Alzheimer's Disease Consortium (EADC) study
An emerging issue in neuroimaging is to assess the diagnostic reliability of PET and its application in clinical practice. We aimed at assessing the accuracy of brain FDG-PET in discriminating patients with MCI due to Alzheimer's disease and healthy controls. Sixty-two patients with amnestic MC...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4299956/ https://www.ncbi.nlm.nih.gov/pubmed/25610765 http://dx.doi.org/10.1016/j.nicl.2014.11.007 |
_version_ | 1782353456055451648 |
---|---|
author | Pagani, M. De Carli, F. Morbelli, S. Öberg, J. Chincarini, A. Frisoni, G.B. Galluzzi, S. Perneczky, R. Drzezga, A. van Berckel, B.N.M. Ossenkoppele, R. Didic, M. Guedj, E. Brugnolo, A. Picco, A. Arnaldi, D. Ferrara, M. Buschiazzo, A. Sambuceti, G. Nobili, F. |
author_facet | Pagani, M. De Carli, F. Morbelli, S. Öberg, J. Chincarini, A. Frisoni, G.B. Galluzzi, S. Perneczky, R. Drzezga, A. van Berckel, B.N.M. Ossenkoppele, R. Didic, M. Guedj, E. Brugnolo, A. Picco, A. Arnaldi, D. Ferrara, M. Buschiazzo, A. Sambuceti, G. Nobili, F. |
author_sort | Pagani, M. |
collection | PubMed |
description | An emerging issue in neuroimaging is to assess the diagnostic reliability of PET and its application in clinical practice. We aimed at assessing the accuracy of brain FDG-PET in discriminating patients with MCI due to Alzheimer's disease and healthy controls. Sixty-two patients with amnestic MCI and 109 healthy subjects recruited in five centers of the European AD Consortium were enrolled. Group analysis was performed by SPM8 to confirm metabolic differences. Discriminant analyses were then carried out using the mean FDG uptake values normalized to the cerebellum computed in 45 anatomical volumes of interest (VOIs) in each hemisphere (90 VOIs) as defined in the Automated Anatomical Labeling (AAL) Atlas and on 12 meta-VOIs, bilaterally, obtained merging VOIs with similar anatomo-functional characteristics. Further, asymmetry indexes were calculated for both datasets. Accuracy of discrimination by a Support Vector Machine (SVM) and the AAL VOIs was tested against a validated method (PALZ). At the voxel level SMP8 showed a relative hypometabolism in the bilateral precuneus, and posterior cingulate, temporo-parietal and frontal cortices. Discriminant analysis classified subjects with an accuracy ranging between .91 and .83 as a function of data organization. The best values were obtained from a subset of 6 meta-VOIs plus 6 asymmetry values reaching an area under the ROC curve of .947, significantly larger than the one obtained by the PALZ score. High accuracy in discriminating MCI converters from healthy controls was reached by a non-linear classifier based on SVM applied on predefined anatomo-functional regions and inter-hemispheric asymmetries. Data pre-processing was automated and simplified by an in-house created Matlab-based script encouraging its routine clinical use. Further validation toward nonconverter MCI patients with adequately long follow-up is needed. |
format | Online Article Text |
id | pubmed-4299956 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-42999562015-01-21 Volume of interest-based [(18)F]fluorodeoxyglucose PET discriminates MCI converting to Alzheimer's disease from healthy controls. A European Alzheimer's Disease Consortium (EADC) study Pagani, M. De Carli, F. Morbelli, S. Öberg, J. Chincarini, A. Frisoni, G.B. Galluzzi, S. Perneczky, R. Drzezga, A. van Berckel, B.N.M. Ossenkoppele, R. Didic, M. Guedj, E. Brugnolo, A. Picco, A. Arnaldi, D. Ferrara, M. Buschiazzo, A. Sambuceti, G. Nobili, F. Neuroimage Clin Regular Article An emerging issue in neuroimaging is to assess the diagnostic reliability of PET and its application in clinical practice. We aimed at assessing the accuracy of brain FDG-PET in discriminating patients with MCI due to Alzheimer's disease and healthy controls. Sixty-two patients with amnestic MCI and 109 healthy subjects recruited in five centers of the European AD Consortium were enrolled. Group analysis was performed by SPM8 to confirm metabolic differences. Discriminant analyses were then carried out using the mean FDG uptake values normalized to the cerebellum computed in 45 anatomical volumes of interest (VOIs) in each hemisphere (90 VOIs) as defined in the Automated Anatomical Labeling (AAL) Atlas and on 12 meta-VOIs, bilaterally, obtained merging VOIs with similar anatomo-functional characteristics. Further, asymmetry indexes were calculated for both datasets. Accuracy of discrimination by a Support Vector Machine (SVM) and the AAL VOIs was tested against a validated method (PALZ). At the voxel level SMP8 showed a relative hypometabolism in the bilateral precuneus, and posterior cingulate, temporo-parietal and frontal cortices. Discriminant analysis classified subjects with an accuracy ranging between .91 and .83 as a function of data organization. The best values were obtained from a subset of 6 meta-VOIs plus 6 asymmetry values reaching an area under the ROC curve of .947, significantly larger than the one obtained by the PALZ score. High accuracy in discriminating MCI converters from healthy controls was reached by a non-linear classifier based on SVM applied on predefined anatomo-functional regions and inter-hemispheric asymmetries. Data pre-processing was automated and simplified by an in-house created Matlab-based script encouraging its routine clinical use. Further validation toward nonconverter MCI patients with adequately long follow-up is needed. Elsevier 2014-11-18 /pmc/articles/PMC4299956/ /pubmed/25610765 http://dx.doi.org/10.1016/j.nicl.2014.11.007 Text en © 2014 The Authors. Published by Elsevier Inc. http://creativecommons.org/licenses/by/3.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Regular Article Pagani, M. De Carli, F. Morbelli, S. Öberg, J. Chincarini, A. Frisoni, G.B. Galluzzi, S. Perneczky, R. Drzezga, A. van Berckel, B.N.M. Ossenkoppele, R. Didic, M. Guedj, E. Brugnolo, A. Picco, A. Arnaldi, D. Ferrara, M. Buschiazzo, A. Sambuceti, G. Nobili, F. Volume of interest-based [(18)F]fluorodeoxyglucose PET discriminates MCI converting to Alzheimer's disease from healthy controls. A European Alzheimer's Disease Consortium (EADC) study |
title | Volume of interest-based [(18)F]fluorodeoxyglucose PET discriminates MCI converting to Alzheimer's disease from healthy controls. A European Alzheimer's Disease Consortium (EADC) study |
title_full | Volume of interest-based [(18)F]fluorodeoxyglucose PET discriminates MCI converting to Alzheimer's disease from healthy controls. A European Alzheimer's Disease Consortium (EADC) study |
title_fullStr | Volume of interest-based [(18)F]fluorodeoxyglucose PET discriminates MCI converting to Alzheimer's disease from healthy controls. A European Alzheimer's Disease Consortium (EADC) study |
title_full_unstemmed | Volume of interest-based [(18)F]fluorodeoxyglucose PET discriminates MCI converting to Alzheimer's disease from healthy controls. A European Alzheimer's Disease Consortium (EADC) study |
title_short | Volume of interest-based [(18)F]fluorodeoxyglucose PET discriminates MCI converting to Alzheimer's disease from healthy controls. A European Alzheimer's Disease Consortium (EADC) study |
title_sort | volume of interest-based [(18)f]fluorodeoxyglucose pet discriminates mci converting to alzheimer's disease from healthy controls. a european alzheimer's disease consortium (eadc) study |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4299956/ https://www.ncbi.nlm.nih.gov/pubmed/25610765 http://dx.doi.org/10.1016/j.nicl.2014.11.007 |
work_keys_str_mv | AT paganim volumeofinterestbased18ffluorodeoxyglucosepetdiscriminatesmciconvertingtoalzheimersdiseasefromhealthycontrolsaeuropeanalzheimersdiseaseconsortiumeadcstudy AT decarlif volumeofinterestbased18ffluorodeoxyglucosepetdiscriminatesmciconvertingtoalzheimersdiseasefromhealthycontrolsaeuropeanalzheimersdiseaseconsortiumeadcstudy AT morbellis volumeofinterestbased18ffluorodeoxyglucosepetdiscriminatesmciconvertingtoalzheimersdiseasefromhealthycontrolsaeuropeanalzheimersdiseaseconsortiumeadcstudy AT obergj volumeofinterestbased18ffluorodeoxyglucosepetdiscriminatesmciconvertingtoalzheimersdiseasefromhealthycontrolsaeuropeanalzheimersdiseaseconsortiumeadcstudy AT chincarinia volumeofinterestbased18ffluorodeoxyglucosepetdiscriminatesmciconvertingtoalzheimersdiseasefromhealthycontrolsaeuropeanalzheimersdiseaseconsortiumeadcstudy AT frisonigb volumeofinterestbased18ffluorodeoxyglucosepetdiscriminatesmciconvertingtoalzheimersdiseasefromhealthycontrolsaeuropeanalzheimersdiseaseconsortiumeadcstudy AT galluzzis volumeofinterestbased18ffluorodeoxyglucosepetdiscriminatesmciconvertingtoalzheimersdiseasefromhealthycontrolsaeuropeanalzheimersdiseaseconsortiumeadcstudy AT perneczkyr volumeofinterestbased18ffluorodeoxyglucosepetdiscriminatesmciconvertingtoalzheimersdiseasefromhealthycontrolsaeuropeanalzheimersdiseaseconsortiumeadcstudy AT drzezgaa volumeofinterestbased18ffluorodeoxyglucosepetdiscriminatesmciconvertingtoalzheimersdiseasefromhealthycontrolsaeuropeanalzheimersdiseaseconsortiumeadcstudy AT vanberckelbnm volumeofinterestbased18ffluorodeoxyglucosepetdiscriminatesmciconvertingtoalzheimersdiseasefromhealthycontrolsaeuropeanalzheimersdiseaseconsortiumeadcstudy AT ossenkoppeler volumeofinterestbased18ffluorodeoxyglucosepetdiscriminatesmciconvertingtoalzheimersdiseasefromhealthycontrolsaeuropeanalzheimersdiseaseconsortiumeadcstudy AT didicm volumeofinterestbased18ffluorodeoxyglucosepetdiscriminatesmciconvertingtoalzheimersdiseasefromhealthycontrolsaeuropeanalzheimersdiseaseconsortiumeadcstudy AT guedje volumeofinterestbased18ffluorodeoxyglucosepetdiscriminatesmciconvertingtoalzheimersdiseasefromhealthycontrolsaeuropeanalzheimersdiseaseconsortiumeadcstudy AT brugnoloa volumeofinterestbased18ffluorodeoxyglucosepetdiscriminatesmciconvertingtoalzheimersdiseasefromhealthycontrolsaeuropeanalzheimersdiseaseconsortiumeadcstudy AT piccoa volumeofinterestbased18ffluorodeoxyglucosepetdiscriminatesmciconvertingtoalzheimersdiseasefromhealthycontrolsaeuropeanalzheimersdiseaseconsortiumeadcstudy AT arnaldid volumeofinterestbased18ffluorodeoxyglucosepetdiscriminatesmciconvertingtoalzheimersdiseasefromhealthycontrolsaeuropeanalzheimersdiseaseconsortiumeadcstudy AT ferraram volumeofinterestbased18ffluorodeoxyglucosepetdiscriminatesmciconvertingtoalzheimersdiseasefromhealthycontrolsaeuropeanalzheimersdiseaseconsortiumeadcstudy AT buschiazzoa volumeofinterestbased18ffluorodeoxyglucosepetdiscriminatesmciconvertingtoalzheimersdiseasefromhealthycontrolsaeuropeanalzheimersdiseaseconsortiumeadcstudy AT sambucetig volumeofinterestbased18ffluorodeoxyglucosepetdiscriminatesmciconvertingtoalzheimersdiseasefromhealthycontrolsaeuropeanalzheimersdiseaseconsortiumeadcstudy AT nobilif volumeofinterestbased18ffluorodeoxyglucosepetdiscriminatesmciconvertingtoalzheimersdiseasefromhealthycontrolsaeuropeanalzheimersdiseaseconsortiumeadcstudy |