TY  - JOUR
AU  - Bollack, Ariane
AU  - Shekari, Mahnaz
AU  - Collij, Lyduine E
AU  - Luckett, Emma
AU  - García, David Valléz
AU  - Markiewicz, Pawel
AU  - Wolz, Robin
AU  - Yaqub, Maqsood
AU  - Wink, Alle Meije
AU  - Gismondi, Rossella
AU  - Stephens, Andrew
AU  - Visser, Pieter Jelle
AU  - Mett, Anja
AU  - Drzezga, Alexander
AU  - Buckley, Christopher
AU  - Gispert, Juan Domingo
AU  - Farrar, Gill
AU  - Barkhof, Frederik
TI  - Implementing robust amyloid PET quantification in multi-center studies: AMYPAD approach to address data acquisition, processing, interpretation and data sharing challenges.
JO  - Alzheimer's & dementia / Translational research & clinical interventions
VL  - 11
IS  - 4
SN  - 2352-8737
CY  - Hoboken, NJ
PB  - Wiley
M1  - DZNE-2025-01466
SP  - e70190
PY  - 2025
AB  - 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
KW  - Alzheimer's (Other)
KW  - Centiloid (Other)
KW  - PET (Other)
KW  - amyloid (Other)
KW  - quantification (Other)
LB  - PUB:(DE-HGF)16
C6  - pmid:41445671
C2  - pmc:PMC12722600
DO  - DOI:10.1002/trc2.70190
UR  - https://pub.dzne.de/record/283059
ER  -