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Scientific article
Open access
English

Unsupervised [18F]Flortaucipir cutoffs for tau positivity and staging in Alzheimer's disease

Published inEuropean journal of nuclear medicine and molecular imaging, vol. 50, no. 11, p. 3265-3275
Publication date2023-09
First online date2023-06-05
Abstract

Purpose: Several [18F]Flortaucipir cutoffs have been proposed for tau PET positivity (T+) in Alzheimer's disease (AD), but none were data-driven. The aim of this study was to establish and validate unsupervised T+cutoffs by applying Gaussian mixture models (GMM).

Methods: Amyloid negative (A-) cognitively normal (CN) and amyloid positive (A+) AD-related dementia (ADRD) subjects from ADNI (n=269) were included. ADNI (n=475) and Geneva Memory Clinic (GMC) cohorts (n=98) were used for validation. GMM-based cutoffs were extracted for the temporal meta-ROI, and validated against previously published cutoffs and visual rating.

Results: GMM-based cutoffs classified less subjects as T+, mainly in the A-CN (<3.4% vs >28.5%) and A+CN (<14.5% vs >42.9%) groups and showed higher agreement with visual rating (ICC=0.91 vs ICC<0.62) than published cutoffs.

Conclusion: We provided reliable data-driven [18F]Flortaucipir cutoffs for in vivo T+detection in AD. These cutoffs might be useful to select participants in clinical and research studies.

eng
Keywords
  • Alzheimer’s disease
  • Cutoff
  • Gaussian mixture model
  • Tau PET
  • Tau positivity
  • [18F]Flortaucipir
  • Humans
  • Alzheimer Disease / diagnostic imaging
  • Tau Proteins
  • Amyloid beta-Peptides
  • Cognitive Dysfunction
  • Positron-Emission Tomography
  • Amyloid
Citation (ISO format)
QUATTRINI, Giulia et al. Unsupervised [18F]Flortaucipir cutoffs for tau positivity and staging in Alzheimer’s disease. In: European journal of nuclear medicine and molecular imaging, 2023, vol. 50, n° 11, p. 3265–3275. doi: 10.1007/s00259-023-06280-7
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Identifiers
ISSN of the journal1619-7070
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