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Implementing robust amyloid PET quantification in multi‐center studies: AMYPAD approach to address data acquisition, processing, interpretation and data sharing challenges

Title: Implementing robust amyloid PET quantification in multi‐center studies: AMYPAD approach to address data acquisition, processing, interpretation and data sharing challenges
Authors: Ariane Bollack; Mahnaz Shekari; Lyduine E. Collij; Emma Luckett; David Valléz García; Pawel Markiewicz; Robin Wolz; Maqsood Yaqub; Alle Meije Wink; Rossella Gismondi; Andrew Stephens; Pieter Jelle Visser; Anja Mett; Alexander Drzezga; Christopher Buckley; Juan Domingo Gispert; Gill Farrar; Frederik Barkhof
Source: Alzheimer’s & Dementia: Translational Research & Clinical Interventions, Vol 11, Iss 4, Pp n/a-n/a (2025)
Publisher Information: Wiley, 2025.
Publication Year: 2025
Collection: LCC:Neurology. Diseases of the nervous system; LCC:Geriatrics
Subject Terms: Alzheimer's; amyloid; Centiloid; PET; quantification; Neurology. Diseases of the nervous system; RC346-429; Geriatrics; RC952-954.6
Description: Abstract INTRODUCTION 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. METHODS 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. RESULTS Binary quantification showed excellent concordance between pipelines (≥ 96%) and compared to visual reads (>90%). DPMS Centiloids had a bimodal distribution while the PNHS showed a more skewed distribution toward higher Centiloids modeled with three Gaussians (1st Gaussian mean + 2SD = 12 CL, emerging pathology). DISCUSSION The harmonization framework, providing strong cross‐method correlations in AMYPAD, has been adopted by EARL as the Brain PET/CT accreditation standard and provides a practical approach for other multi‐center cohorts to implement similar strategies. Highlights We share AMYPAD's end‐to‐end approach to amyloid positron emission tomography (PET) quantification from data acquisition and handling, harmonization based on Hoffman phantoms, quality control, image processing, to data storage, and data sharing strategies. Centiloid quantification was compared across one PET‐only (AmyPype) and two PET‐MR pipelines (standard Centiloid and IXIXO‐LEAP). Excellent agreement in dichotomized Centiloid valued was observed both between pipelines and when compared to visual reads. Distribution of Centiloid values in the Prognostic and Natural History Study (PNHS) and Diagnostic and Patient Management Study (DPMS) are in line with the initial recruitment strategies of the trials. Harmonization of Amyloid‐PET scans framework was adopted by EARL as the Brain PET/CT accreditation standard for multicentre brain PET scans.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2352-8737
Relation: https://doaj.org/toc/2352-8737
DOI: 10.1002/trc2.70190
Access URL: https://doaj.org/article/a8a734fbf22d4d1ebc85eeddb6a84bc4
Accession Number: edsdoj.8a734fbf22d4d1ebc85eeddb6a84bc4
Database: Directory of Open Access Journals