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Stress testing the Centiloid: Precision and variability of PET quantification of amyloid pathology

Shekari, Mahnaz; Vállez García, David; Collij, Lyduine E; Altomare, Daniele; Heeman, Fiona; Pemberton, Hugh; Roé Vellvé, Núria; ... ADNI and the AMYPAD consortium; + view all (2024) Stress testing the Centiloid: Precision and variability of PET quantification of amyloid pathology. Alzheimer's & Dementia 10.1002/alz.13883. (In press). Green open access

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Abstract

INTRODUCTION: Assessing the potential sources of bias and variability of the Centiloid (CL) scale is fundamental for its appropriate clinical application. // METHODS: We included 533 participants from AMYloid imaging to Prevent Alzheimer's Disease (AMYPAD DPMS) and Alzheimer's Disease Neuroimaging Initiative (ADNI) cohorts. Thirty-two CL pipelines were created using different combinations of reference region (RR), RR and target types, and quantification spaces. Generalized estimating equations stratified by amyloid positivity were used to assess the impact of the quantification pipeline, radiotracer, age, brain atrophy, and harmonization status on CL. // RESULTS: RR selection and RR type impact CL the most, particularly in amyloid-negative individuals. The standard CL pipeline with the whole cerebellum as RR is robust against brain atrophy and differences in image resolution, with 95% confidence intervals below ± 3.95 CL for amyloid beta positivity cutoffs (CL < 24). // DISCUSSION: The standard CL pipeline is recommended for most scenarios. Confidence intervals should be considered when operationalizing CL cutoffs in clinical and research settings.

Type: Article
Title: Stress testing the Centiloid: Precision and variability of PET quantification of amyloid pathology
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/alz.13883
Publisher version: http://dx.doi.org/10.1002/alz.13883
Language: English
Additional information: Copyright © None The Author(s). Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association. This is an open access article under the terms of the Creative Commons Attribution License, https://creativecommons.org/licenses/by/4.0/, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: Age, Alzheimer’s disease, amyloid PET accuracy, biomarker validation, brain atrophy, clinical applications, clinical trials, context of use, diagnosis, disease-modifying therapies, image harmonization, radiotracers, white matter
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Brain Repair and Rehabilitation
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10194409
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