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Summary
This summary is machine-generated.

The Joint Propagation Model (JPM)-based CenTauR scale harmonizes tau-PET quantification across different radiotracers, enhancing data comparability. This method improves the consistency of tau-PET positivity rates and diagnostic accuracy for Alzheimer's disease.

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Area of Science:

  • Neuroimaging
  • Biomarkers
  • Alzheimer's Disease Research

Background:

  • Existing tau-PET quantification methods lack harmonization across different radiotracers.
  • The Joint Propagation Model (JPM)-based CenTauR scale was developed to standardize tau-PET measurements.
  • This study evaluates the effectiveness of CenTauR harmonization in improving data comparability.

Purpose of the Study:

  • To assess how CenTauR harmonization impacts the comparability of tau-PET quantification across matched cohorts using different tracers.
  • To compare tau-PET positivity rates, diagnostic accuracy for symptomatic Alzheimer's disease (AD), and longitudinal changes using CenTauR.

Main Methods:

  • Applied JPM equations to [¹⁸F]flortaucipir SUVR data from 561 participants (ADNI and OASIS-3).
  • Determined the optimal CenTauR cut-off for positivity using ROC analysis.
  • Matched three cohorts (scanned with [¹⁸F]flortaucipir, [¹⁸F]MK-6240, and [¹⁸F]RO-948) 1:1 and compared CenTauR-based metrics.

Main Results:

  • A cut-off of 18 CenTauRs optimally classified [¹⁸F]flortaucipir PET visual reads.
  • Tau-PET positivity rates were highly comparable across tracers, with some variability in Aβ-positive cognitively unimpaired individuals.
  • Discriminative accuracy for symptomatic AD and 1-year changes in tau-PET were similar across tracers ([¹⁸F]flortaucipir and [¹⁸F]MK-6240).

Conclusions:

  • CenTauR harmonization significantly increases the comparability of tau-PET data acquired with different radiotracers.
  • Further validation with larger cohorts and additional tracers ([¹⁸F]PI-2620) is ongoing.