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

Author:

Coath William1,Modat Marc2,Cardoso M. Jorge2,Markiewicz Pawel J.3,Lane Christopher A.1,Parker Thomas D.1,Keshavan Ashvini1,Buchanan Sarah M.1,Keuss Sarah E.1,Harris Matthew J.1,Burgos Ninon4,Dickson John5,Barnes Anna5,Thomas David L.167,Beasley Daniel2,Malone Ian B.1,Wong Andrew8,Erlandsson Kjell5,Thomas Benjamin A.5,Schöll Michael1910,Ourselin Sebastien2,Richards Marcus8,Fox Nick C.111,Schott Jonathan M.1,Cash David M.1311,

Affiliation:

1. Dementia Research Centre UCL Queen Square Institute of Neurology London UK

2. School of Biomedical Engineering and Imaging Sciences King's College London London UK

3. Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering UCL London UK

4. Sorbonne Université, Institut du Cerveau ‐ Paris Brain Institute ‐ ICM, Inserm, CNRS, AP‐HP, Hôpital Pitié Salpêtrière, Inria Aramis project‐team Paris France

5. Institute of Nuclear Medicine University College London Hospitals London UK

6. Department of Brain Repair and Rehabilitation UCL Queen Square Institute of Neurology London UK

7. Wellcome Centre for Human Neuroimaging, Queen Square Institute of Neurology University College London London UK

8. MRC Unit for Lifelong Health and Ageing at UCL London UK

9. Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy University of Gothenburg Mölndal Sweden

10. Wallenberg Centre for Molecular and Translational Medicine University of Gothenburg Mölndal Sweden

11. Dementia Research Institute UCL Queen Square Institute of Neurology London UK

Abstract

AbstractINTRODUCTIONThe 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.

Publisher

Wiley

Subject

Psychiatry and Mental health,Neurology (clinical)

Reference46 articles.

1. Donanemab in Early Alzheimer’s Disease

2. Simplified quantification of pittsburgh compound B amyloid imaging PET studies: a comparative analysis;Lopresti BJ;J Nucl Med,2005

3. Impact of Reference and Target Region Selection on Amyloid PET SUV Ratios in the Phase 1b PRIME Study of Aducanumab

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