Every Centiloid, from Everywhere, All at Once
Ganna Blazhenets, Heather M Snyder, Liana G. Apostolova, Breton M. Asken, Alexandre Bejanin, Stéphanie Bombois, Pierrick Bourgeat, Meredith N. Braskie, Maria C. Carrillo, Kaitlin B Casaletto, David M Cash, Chiung‐Chih Chang, Hsin‐I Chang, Yishu Chao, Gael Chételat, William Coath

TL;DR
This study evaluates global use of Centiloids to harmonize amyloid-PET data, finding common cutoffs but high variability across studies.
Contribution
The study provides meta-analysis-derived Centiloid cutoffs and highlights variability in amyloid-PET data harmonization across global cohorts.
Findings
Meta-analysis identified a GMM-based Centiloid cutoff of 19CL (95%CI: 16-21CL).
Visual read-based cutoff was 24CL (95%CI: 21-27CL), showing good correspondence with quantification.
High heterogeneity (I2>80%) suggests non-random differences in Centiloid peaks and cutoffs across studies.
Abstract
Ten years after the original publication, the Centiloid framework is now broadly used to harmonize amyloid‐PET quantification, facilitate data sharing and comparison across cohorts, and even assist visual interpretation in clinical settings. We evaluated the global implementation of Centiloids by comparing their distribution and corresponding positivity thresholds across cohorts. We gathered data from publicly available cohorts and reached out to investigators across the world to collect cross‐sectional Centiloids, demographic and clinical information, and visual read data. Gaussian mixture models (GMM, k=2) were fitted to Centiloid values for each cohort and cutoffs were calculated as mean + 2SD of the lower Gaussian. When visual reads were available, we determined Centiloid cutoffs that maximized correspondence with visual reads (Cohen's kappa). Data was combined across cohorts using…
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Taxonomy
TopicsDementia and Cognitive Impairment Research · Alzheimer's disease research and treatments · Acute Ischemic Stroke Management
