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Operationalizing the centiloid scale for [18 F]florbetapir PET studies on PET/MRI

Authors :
Coath, William
Modat, Marc
Cardoso, M. Jorge
Markiewicz, Pawel
Lane, Christopher
Parker, Thomas
Keshavan, Ashvini
Buchanan, Sarah
Keuss, Sarah
Harris, Matthew
Burgos, Ninon
Dickson, John
Barnes, Anna
Thomas, David
Beasley, Daniel
Malone, Ian
Wong, Andrew
Erlandsson, Kjell
Thomas, Benjamin
Schöll, Michael
Ourselin, Sebastien
Richards, Marcus
Fox, Nick
Schott, Jonathan
Cash, David
UCL Institute of Neurology, Queen Square [London]
King‘s College London
University College of London [London] (UCL)
Algorithms, models and methods for images and signals of the human brain (ARAMIS)
Sorbonne Université (SU)-Inria de Paris
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM)
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP]
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP]
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Institut du Cerveau = Paris Brain Institute (ICM)
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
University College London Hospitals (UCLH)
Source :
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 2023, 15 (2), ⟨10.1002/dad2.12434⟩
Publication Year :
2023
Publisher :
HAL CCSD, 2023.

Abstract

International audience; INTRODUCTIONThe Centiloid scale aims to harmonize amyloid beta (Aβ) positron emission tomography (PET) measures across different analysis methods. As Centiloids were created using PET/computerized tomography (CT) data and are influenced by scanner differences, we investigated the Centiloid transformation with data from Insight 46 acquired with PET/magnetic resonanceimaging (MRI).METHODSWe transformed standardized uptake value ratios (SUVRs) from 432 florbetapir PET/MRI scans processed using whole cerebellum (WC) and white matter (WM) references, with and without partial volume correction. Gaussian-mixture-modelling–derived cutpoints for Aβ PET positivity were converted.RESULTSThe Centiloid cutpoint was 14.2 for WC SUVRs. The relationship between WM and WC uptake differed between the calibration and testing datasets, producing implausibly low WM-based Centiloids. Linear adjustment produced a WM-based cutpoint of 18.1.DISCUSSIONTransformation of PET/MRI florbetapir data to Centiloids is valid. However, further understanding of the effects of acquisition or biological factors on the transformation using a WM reference is needed.HIGHLIGHTS Centiloid conversion of amyloid beta positron emission tomography (PET) data aims to standardize results. Centiloid values can be influenced by differences in acquisition. We converted florbetapir PET/magnetic resonance imaging data from a large birth cohort. Whole cerebellum referenced values could be reliably transformed to Centiloids. White matter referenced values may be less generalizable between datasets.

Details

Language :
English
ISSN :
23528729
Database :
OpenAIRE
Journal :
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 2023, 15 (2), ⟨10.1002/dad2.12434⟩
Accession number :
edsair.od.......165..e2d9991e96d0a53ffc8fd7983d23b7aa
Full Text :
https://doi.org/10.1002/dad2.12434⟩