학술논문
Operationalizing the centiloid scale for F-18 florbetapir PET studies on PET/MRI
Document Type
Author
Coath, W.; Modat, M.; Cardoso, M. J.; Markiewicz, P. J.; Lane, C. A.; Parker, T. D.; Keshavan, A.; Buchanan, S. M.; Keuss, S. E.; Harris, M. J.; Burgos, N.; Dickson, J.; Barnes, A.; Thomas, D. L.; Beasley, D.; Malone, I. B.; Wong, A.; Erlandsson, K.; Thomas, B. A.; Schöll, Michael, 1980; Ourselin, S.; Richards, M.; Fox, N. C.; Schott, J. M.; Cash, D. M.
Source
Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 15(2)
Subject
Language
English
ISSN
2352-8729
Abstract
INTRODUCTIONThe Centiloid scale aims to harmonize amyloid beta (A beta) 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 A beta 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. HIGHLIGHTSCentiloid 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.