001     887675
005     20221117180438.0
024 7 _ |a 10.1016/S1474-4422(20)30314-8
|2 doi
024 7 _ |a 1474-4422
|2 ISSN
024 7 _ |a 1474-4465
|2 ISSN
024 7 _ |a 2128/32284
|2 Handle
024 7 _ |a 33098804
|2 pmid
024 7 _ |a WOS:000581121200027
|2 WOS
037 _ _ |a FZJ-2020-04336
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Chételat, Gaël
|0 P:(DE-HGF)0
|b 0
|e Corresponding author
245 _ _ |a Amyloid-PET and 18F-FDG-PET in the diagnostic investigation of Alzheimer's disease and other dementias
260 _ _ |a London
|c 2020
|b Lancet Publ. Group
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1667393613_26491
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Various biomarkers are available to support the diagnosis of neurodegenerative diseases in clinical and research settings. Among the molecular imaging biomarkers, amyloid-PET, which assesses brain amyloid deposition, and 18F-fluorodeoxyglucose (18F-FDG) PET, which assesses glucose metabolism, provide valuable and complementary information. However, uncertainty remains regarding the optimal timepoint, combination, and an order in which these PET biomarkers should be used in diagnostic evaluations because conclusive evidence is missing. Following an expert panel discussion, we reached an agreement on the specific use of the individual biomarkers, based on available evidence and clinical expertise. We propose a diagnostic algorithm with optimal timepoints for these PET biomarkers, also taking into account evidence from other biomarkers, for early and differential diagnosis of neurodegenerative diseases that can lead to dementia. We propose three main diagnostic pathways with distinct biomarker sequences, in which amyloid-PET and 18F-FDG-PET are placed at different positions in the order of diagnostic evaluations, depending on clinical presentation. We hope that this algorithm can support diagnostic decision making in specialist clinical settings with access to these biomarkers and might stimulate further research towards optimal diagnostic strategies.
536 _ _ |a 572 - (Dys-)function and Plasticity (POF3-572)
|0 G:(DE-HGF)POF3-572
|c POF3-572
|f POF III
|x 0
536 _ _ |a 573 - Neuroimaging (POF3-573)
|0 G:(DE-HGF)POF3-573
|c POF3-573
|f POF III
|x 1
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Arbizu, Javier
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Barthel, Henryk
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Garibotto, Valentina
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Law, Ian
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Morbelli, Silvia
|0 P:(DE-HGF)0
|b 5
700 1 _ |a van de Giessen, Elsmarieke
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Agosta, Federica
|0 P:(DE-HGF)0
|b 7
700 1 _ |a Barkhof, Frederik
|0 P:(DE-HGF)0
|b 8
700 1 _ |a Brooks, David J
|0 P:(DE-HGF)0
|b 9
700 1 _ |a Carrillo, Maria C
|0 P:(DE-HGF)0
|b 10
700 1 _ |a Dubois, Bruno
|0 P:(DE-HGF)0
|b 11
700 1 _ |a Fjell, Anders M
|0 P:(DE-HGF)0
|b 12
700 1 _ |a Frisoni, Giovanni B
|0 P:(DE-HGF)0
|b 13
700 1 _ |a Hansson, Oskar
|0 P:(DE-HGF)0
|b 14
700 1 _ |a Herholz, Karl
|0 P:(DE-HGF)0
|b 15
700 1 _ |a Hutton, Brian F
|0 P:(DE-HGF)0
|b 16
700 1 _ |a Jack, Clifford R
|0 P:(DE-HGF)0
|b 17
700 1 _ |a Lammertsma, Adriaan A
|0 P:(DE-HGF)0
|b 18
700 1 _ |a Landau, Susan M
|0 P:(DE-HGF)0
|b 19
700 1 _ |a Minoshima, Satoshi
|0 P:(DE-HGF)0
|b 20
700 1 _ |a Nobili, Flavio
|0 P:(DE-HGF)0
|b 21
700 1 _ |a Nordberg, Agneta
|0 P:(DE-HGF)0
|b 22
700 1 _ |a Ossenkoppele, Rik
|0 P:(DE-HGF)0
|b 23
700 1 _ |a Oyen, Wim J G
|0 P:(DE-HGF)0
|b 24
700 1 _ |a Perani, Daniela
|0 P:(DE-HGF)0
|b 25
700 1 _ |a Rabinovici, Gil D
|0 P:(DE-HGF)0
|b 26
700 1 _ |a Scheltens, Philip
|0 P:(DE-HGF)0
|b 27
700 1 _ |a Villemagne, Victor L
|0 P:(DE-HGF)0
|b 28
700 1 _ |a Zetterberg, Henrik
|0 P:(DE-HGF)0
|b 29
700 1 _ |a Drzezga, Alexander
|0 P:(DE-Juel1)177611
|b 30
|u fzj
773 _ _ |a 10.1016/S1474-4422(20)30314-8
|g Vol. 19, no. 11, p. 951 - 962
|0 PERI:(DE-600)2079704-7
|n 11
|p 951 - 962
|t The lancet / Neurology
|v 19
|y 2020
|x 1474-4422
856 4 _ |u https://juser.fz-juelich.de/record/887675/files/S1474442220303148.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:887675
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 30
|6 P:(DE-Juel1)177611
913 1 _ |a DE-HGF
|b Key Technologies
|l Decoding the Human Brain
|1 G:(DE-HGF)POF3-570
|0 G:(DE-HGF)POF3-572
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-500
|4 G:(DE-HGF)POF
|v (Dys-)function and Plasticity
|x 0
913 1 _ |a DE-HGF
|b Key Technologies
|l Decoding the Human Brain
|1 G:(DE-HGF)POF3-570
|0 G:(DE-HGF)POF3-573
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-500
|4 G:(DE-HGF)POF
|v Neuroimaging
|x 1
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2020-09-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2020-09-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2020-09-03
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b LANCET NEUROL : 2018
|d 2020-09-03
915 _ _ |a Creative Commons Attribution-NonCommercial CC BY-NC 4.0
|0 LIC:(DE-HGF)CCBYNC4
|2 HGFVOC
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2020-09-03
915 _ _ |a IF >= 25
|0 StatID:(DE-HGF)9925
|2 StatID
|b LANCET NEUROL : 2018
|d 2020-09-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2020-09-03
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2020-09-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2020-09-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2020-09-03
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2020-09-03
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)INM-2-20090406
|k INM-2
|l Molekulare Organisation des Gehirns
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-2-20090406
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21