Multitracer model for staging cortical amyloid deposition using PET imaging.
Aged
Alzheimer Disease
/ diagnostic imaging
Amyloidosis
/ diagnostic imaging
Carbon Radioisotopes
Cerebral Cortex
/ diagnostic imaging
Cognitive Dysfunction
/ diagnostic imaging
Cohort Studies
Female
Fluorine Radioisotopes
Humans
Longitudinal Studies
Male
Middle Aged
Positron-Emission Tomography
/ methods
Journal
Neurology
ISSN: 1526-632X
Titre abrégé: Neurology
Pays: United States
ID NLM: 0401060
Informations de publication
Date de publication:
15 09 2020
15 09 2020
Historique:
received:
09
09
2019
accepted:
20
03
2020
pubmed:
18
7
2020
medline:
5
11
2020
entrez:
18
7
2020
Statut:
ppublish
Résumé
To develop and evaluate a model for staging cortical amyloid deposition using PET with high generalizability. Three thousand twenty-seven individuals (1,763 cognitively unimpaired [CU], 658 impaired, 467 with Alzheimer disease [AD] dementia, 111 with non-AD dementia, and 28 with missing diagnosis) from 6 cohorts (European Medical Information Framework for AD, Alzheimer's and Family, Alzheimer's Biomarkers in Daily Practice, Amsterdam Dementia Cohort, Open Access Series of Imaging Studies [OASIS]-3, Alzheimer's Disease Neuroimaging Initiative [ADNI]) who underwent amyloid PET were retrospectively included; 1,049 individuals had follow-up scans. With application of dataset-specific cutoffs to global standard uptake value ratio (SUVr) values from 27 regions, single-tracer and pooled multitracer regional rankings were constructed from the frequency of abnormality across 400 CU individuals (100 per tracer). The pooled multitracer ranking was used to create a staging model consisting of 4 clusters of regions because it displayed a high and consistent correlation with each single-tracer ranking. Relationships between amyloid stage, clinical variables, and longitudinal cognitive decline were investigated. SUVr abnormality was most frequently observed in cingulate, followed by orbitofrontal, precuneal, and insular cortices and then the associative, temporal, and occipital regions. Abnormal amyloid levels based on binary global SUVr classification were observed in 1.0%, 5.5%, 17.9%, 90.0%, and 100.0% of individuals in stage 0 to 4, respectively. Baseline stage predicted decline in Mini-Mental State Examination (MMSE) score (ADNI: n = 867, The pooled multitracer staging model successfully classified the level of amyloid burden in >3,000 individuals across cohorts and radiotracers and detects preglobal amyloid burden and distinct risk profiles of cognitive decline within globally amyloid-positive individuals.
Identifiants
pubmed: 32675080
pii: WNL.0000000000010256
doi: 10.1212/WNL.0000000000010256
pmc: PMC7713745
doi:
Substances chimiques
Carbon Radioisotopes
0
Fluorine Radioisotopes
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
e1538-e1553Subventions
Organisme : NIA NIH HHS
ID : R01 AG043434
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000448
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002345
Pays : United States
Organisme : Department of Health
Pays : United Kingdom
Organisme : NIA NIH HHS
ID : P01 AG003991
Pays : United States
Organisme : NIA NIH HHS
ID : P01 AG026276
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG024904
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB009352
Pays : United States
Organisme : CIHR
Pays : Canada
Investigateurs
Eider M Arenaza-Urquijo
(EM)
Annabella Beteta
(A)
Anna Brugulat-Serrat
(A)
Raffaele Cacciaglia
(R)
Alba Cañas Boccagni
(AC)
Yelena G Bodien
(YG)
Marta Crous-Bou
(M)
Carme Deulofeu
(C)
Ruth Dominguez
(R)
Karine Fauria
(K)
Carles Falcon
(C)
Marta Félez-Sánchez
(M)
Jose María González de Echavarri
(JM)
Oriol Grau-Rivera
(O)
Laura Hernández
(L)
Gema Huesa
(G)
Jordi Huguet
(J)
MarÍa LeÓn
(M)
Paula Marne
(P)
Tania Menchón
(T)
Marta Milà-Alomà
(M)
Grégory Operto
(G)
Carolina Minguillon
(C)
Maria Pascual
(M)
Albina Polo
(A)
Sandra Pradas
(S)
Aleix Sala-Vila
(A)
Gonzalo Sánchez-Benavides
(G)
Mahnaz Shekari
(M)
Anna Soteras
(A)
Marc Suárez-Calvet
(M)
Laia Tenas
(L)
Marc Vilanova
(M)
Natalia Vilor-Tejedor
(N)
Frederik Barkhof
(F)
Gill Farrar
(G)
Carlos Diaz
(C)
Sandra Pla
(S)
Juan Domingo Gispert
(JD)
Chris Buckley
(C)
Giovanni Battista Frisoni
(GB)
Andrew Stephens
(A)
José Luis Molinuevo
(JL)
Lisa Ford
(L)
Mark Schmidt
(M)
Isadora Lopes Alves
(I)
Jean Georges
(J)
Anja Mett
(A)
Edo Richard
(E)
Philip Scheltens
(P)
Pieter Jelle Visser
(PJ)
Bart NM van Berckel
(BN)
Hans Berkhof
(H)
Alle Meije Wink
(A)
Maqsood Yaqub
(M)
Annebet Leeuwis
(A)
Ingrid van Maurik
(I)
Lyduine Collij
(L)
Fiona Heeman
(F)
Ifrah Iidow
(I)
Valentina Garibotto
(V)
Daniele Altomare
(D)
Christian Moro
(C)
Craig Ritchie
(C)
Graciela Muniz Terrera
(G)
Catriona Wimberley
(C)
Gerard Thompson
(G)
Adam Waldman
(A)
Pierre Payoux
(P)
Bruno Vellas
(B)
Julien Delrieu
(J)
Laure Saint-Aubert
(L)
Anne Hitzel
(A)
Anne Julian
(A)
Oriol Grau Rivera
(OG)
Gemma Salvadó Blasco
(G)
Mahnaz Shekari
(M)
Iva Knezevic
(I)
Andres Perissinotti
(A)
Agneta Nordberg
(A)
Miia Kivipelto
(M)
Elena Rodriguez-Vieitez
(E)
Irina Savitcheva
(I)
Alexander Drzezga
(A)
Frank Jessen
(F)
Markus Dietlein
(M)
Carsten Kobe
(C)
Matthias Schmidt
(M)
Zuzana Walker
(Z)
Pawel Markiewicz
(P)
Jieqing Jiao
(J)
Zarni Win
(Z)
Rossella Gismondi
(R)
Nigel Banton
(N)
Santiago Bullich
(S)
Nikolay Manyakov
(N)
Dzmitry Kaliukhovich
(D)
Robin Wolz
(R)
John Woodside
(J)
Katherine Gray
(K)
Cindy Birck
(C)
Richard Milne
(R)
Marthe Smedinga
(M)
Informations de copyright
Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.
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