Background: Tau-PET tracers have been used to diagnose and stage Alzheimer's disease. However, different tau tracers present distinct patterns of binding throughout the brain, challenging the harmonization of their results. We hypothesize that the choice of a reference region can impact the harmonization of the tau-PET standardized uptake value ratio (SUVR). In this context, we aimed to explore how different cerebellar reference regions impact the association between [F]Flortaucipir and [F]MK-6240 SUVR values.
Method: We studied 185 individuals across the aging and AD spectrum with head-to-head Flortaucipir and MK-6240 tau PET (HEAD Study). SUVRs were processed to a common 8mm FWHM using 15 different reference regions defined in the spatially unbiased atlas template of the cerebellum (SUIT) (Diedrichsen, 2009). Regression models investigated the association between Flortaucipir and MK-6240 using multiple combinations of reference regions. R statistic was used to estimate goodness-of-fitting.
Result: 225 combinations of associations Flortaucipir and MK-6240 SUVR were tested, where the SUVRs are not necessarily quantified using the same reference region. Figure 1 presents the top 25 strongest and 25 weakest associations, ordered based on the coefficient of determination (R²). Flortaucipir and MK-6240 exhibited the most robust associations when the inferior cerebellar gray matter or Crus I were employed for SUVR determination (R=0.89, Figure 1-2). Conversely, combinations incorporating the fastigial region consistently yielded weaker associations between the two tracers (R<0.70, Figure 1-2).
Conclusion: Interestingly, we showed that the inferior cerebellum, when used for both tracers, serves as a robust reference region for determining the most similar SUVRs for Flortaucipir and MK-6240. Notably, these two regions have been commonly utilized in previous studies involving these tau tracers. Our results imply that the inferior cerebellum could be the optimal reference region for research aimed at harmonizing tau PET tracers using statistical scales.
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http://dx.doi.org/10.1002/alz.092768 | DOI Listing |
Background: Tau-PET tracers have been used to diagnose and stage Alzheimer's disease. However, different tau tracers present distinct patterns of binding throughout the brain, challenging the harmonization of their results. We hypothesize that the choice of a reference region can impact the harmonization of the tau-PET standardized uptake value ratio (SUVR).
View Article and Find Full Text PDFBackground: Standardizing tau pathology quantification in vivo is challenged by differences in binding characteristics between tau-PET tracers. The HEAD study aims to generate a leading, longitudinal head-to-head dataset of MK-6240, Flortaucipir, RO948, and PI-2620 tau-PET to harmonize these tracers' outcomes and develop tools allowing for the generalization of findings across large studies and trials. Here, we present current advancements in building the HEAD study cohort and dataset.
View Article and Find Full Text PDFBackground: The HEAD study aims to collect a large dataset of multiple tau-PET tracers to provide robust anchor values for tau-PET harmonization. Here, we tested the hypothesis that anchoring two tau tracer uptake values using head-to-head measurements has the potential to generate an accurate universal tau-PET scale, named Uniτ(tau).
Methods: We assessed 200 individuals across the aging and AD spectrum (Training: HEAD data freeze 2.
Background: Blood-based biomarkers offer a cost-effective and simple alternative for clinical use in the context of Alzheimer's disease (AD). It has already been shown that plasma phosphorylated tau at threonine 217 (p-tau217) is associated with amyloid (Aβ), neurofibrillary tau tangles, and cognitive decline. Longitudinal studies confirmed its ability to track AD progression.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.
Background: Sampled iterative local approximation (SILA) is a temporal modeling method previously validated in three cohorts to estimate person-level amyloid PET onset age and predicted change. This study validates SILA to model longitudinal tau PET trajectories, generate person-level estimated tau onset age (ETOA), and characterize forward and backward prediction accuracy in the Wisconsin Registry for Alzheimer's Prevention (WRAP), Wisconsin Alzheimer's Disease Research Center (WADRC), and the Alzheimer's Disease Neuroimaging Initiative (ADNI).
Method: N=273 participants (mean(SD) baseline age=70.
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