ArticleNeuroImage2022
β-amyloid PET harmonisation across longitudinal studies: Application to AIBL, ADNI and OASIS3.
Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- From image reconstruction to clinical prognosis: A comprehensive analysis of centiloid-based amyloid PET assessment.European journal of nuclear medicine and molecular imaging · 2026Article
- Reconstruction-dependent differences in brain [18F]FDG PET: a large-scale same-acquisition comparison of Q.Clear and VUE Point FX.Annals of nuclear medicine · 2026Article
- Predicting accumulation and age at onset of amyloid-β from genetic risk and resilience for Alzheimer's disease.EBioMedicine · 2026Article
- Estimating the time course of biomarker changes in Alzheimer's disease.Brain : a journal of neurology · 2026Article
- SPECT and PET imaging of Alzheimer's disease revisited: from biomarkers to artificial intelligence-based prediction.Annals of nuclear medicine · 2026Review
- Regional growth rates of white matter hyperintensities are associated with beta-amyloid burden.Neurobiology of aging · 2026Article
- Enhancing diagnosis of mild cognitive impairment through brain-heart-gut metabolic networks in whole-body PET imaging.Cell reports. Medicine · 2026Article
- AI-enhanced Centiloid quantification of amyloid PET images.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Plasma Aβ42/40 predicts progression from Aβ-amyloid negative to positive PET scans.The journal of prevention of Alzheimer's disease · 2026Article
- Predicting accumulation and age at onset of amyloid-β from genetic risk and resilience for Alzheimer's disease.Research square · 2025Article
- Added Value of Amyloid PET Quantification with the Centiloid Scale in Clinical Practice.AJNR. American journal of neuroradiology · 2025Article
- Revisiting Centiloids using AI.Research square · 2025Article
- Considerations in the clinical use of amyloid PET and CSF biomarkers for Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Review
- Predicting amyloid beta accumulation in cognitively unimpaired older adults: Cognitive assessments provide no additional utility beyond demographic and genetic factors.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Digital detector PET/CT increases Centiloid measures of amyloid in Alzheimer's disease: A head-to-head comparison of cameras.Journal of Alzheimer's disease : JAD · 2025Article
- Positron emission tomography harmonization in the Alzheimer's Disease Neuroimaging Initiative: A scalable and rigorous approach to multisite amyloid and tau quantification.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Quantitative Brain Amyloid PET.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024Article
- Investigating reliable amyloid accumulation in Centiloids: Results from the AMYPAD Prognostic and Natural History Study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Impact of simulated reduced injected dose on the assessment of amyloid PET scans.European journal of nuclear medicine and molecular imaging · 2024Article
- A ROI-based quantitative pipeline forHeliyon · 2024Article
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
introductionThe Centiloid scale was developed to harmonise the quantification of β-amyloid (Aβ) PET images across tracers, scanners, and processing pipelines. However, several groups have reported differences across tracers and scanners even after centiloid conversion. In this study, we aim to evaluate the impact of different pre and post-processing harmonisation steps on the robustness of longitudinal Centiloid data across three large international cohort studies.
methodsAll Aβ PET data in AIBL (N = 3315), ADNI (N = 3442) and OASIS3 (N = 1398) were quantified using the MRI-based Centiloid standard SPM pipeline and the PET-only pipeline CapAIBL. SUVR were converted into Centiloids using each tracer's respective transform. Global Aβ burden from pre-defined target cortical regions in Centiloid units were quantified for both raw PET scans and PET scans smoothed to a uniform 8 mm full width half maximum (FWHM) effective smoothness. For Florbetapir, we assessed the performance of using both the standard Whole Cerebellum (WCb) and a composite white matter (WM)+WCb reference region. Additionally, our recently proposed quantification based on Non-negative Matrix Factorisation (NMF) was applied to all spatially and SUVR normalised images. Correlation with clinical severity measured by the Mini-Mental State Examination (MMSE) and effect size, as well as tracer agreement in
resultsThe smoothing to a uniform resolution partially reduced longitudinal variability, but did not improve inter-tracer agreement, effect size or correlation with MMSE. Using a Composite reference region for
conclusionsFWHM smoothing has limited impact on longitudinal consistency or outliers. A Composite reference region including subcortical WM should be used for computing both cross-sectional and longitudinal Florbetapir Centiloid. NMF improves Centiloid quantification on all metrics examined.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.