%0 Journal Article
%A Bollack, Ariane
%A Shekari, Mahnaz
%A Collij, Lyduine E
%A Luckett, Emma
%A García, David Valléz
%A Markiewicz, Pawel
%A Wolz, Robin
%A Yaqub, Maqsood
%A Wink, Alle Meije
%A Gismondi, Rossella
%A Stephens, Andrew
%A Visser, Pieter Jelle
%A Mett, Anja
%A Drzezga, Alexander
%A Buckley, Christopher
%A Gispert, Juan Domingo
%A Farrar, Gill
%A Barkhof, Frederik
%T Implementing robust amyloid PET quantification in multi-center studies: AMYPAD approach to address data acquisition, processing, interpretation and data sharing challenges.
%J Alzheimer's & dementia / Translational research & clinical interventions
%V 11
%N 4
%@ 2352-8737
%C Hoboken, NJ
%I Wiley
%M DZNE-2025-01466
%P e70190
%D 2025
%X Amyloid-positron emission tomography (PET) is pivotal to Alzheimer's management, with the Centiloid standardizing measurements across tracers. AMYPAD trials (Diagnostic and Patient Management Study [DPMS] and Prognostic and Natural History Study [PNHS]) aimed to validate robust quantification in clinical settings. We report our comprehensive approach to amyloid-PET implementation, comprising scan acquisition, harmonization, data storing, and data sharing strategies.Data from 28 scanners were harmonized using Hoffman phantoms. Three quantification workflows were compared: AmyPype (PET-only), IXICO-LEAP, and the standard Centiloid pipeline (magnetic resonance imaging [MRI]-based). Distributions of Centiloids were assessed using Gaussian Mixture Modeling.Binary quantification showed excellent concordance between pipelines (≥ 96
%K Alzheimer's (Other)
%K Centiloid (Other)
%K PET (Other)
%K amyloid (Other)
%K quantification (Other)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:41445671
%2 pmc:PMC12722600
%R 10.1002/trc2.70190
%U https://pub.dzne.de/record/283059