ArticleNeurology2025
Visual Classification of Tau-PET Detects 4 Subtypes With Different Long-Term Outcomes.
Article in Neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Group-level versus individualized approaches for capturing tau PET changes and clinical progression in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Clinical amyloid and tau positron emission tomography imaging in Alzheimer's disease: image interpretation in the era of anti-amyloid therapies.Current opinion in neurology · 2026Review
- Neuroimaging Compendium of Microglia, Amyloid, Tau, and Neurodegeneration Across Clinical Variants of Alzheimer Disease.Alzheimer disease and associated disordersArticle
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Authors and funding
11 authors.
Funding
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Abstract
BACKGROUND AND
objectivesTau accumulation pattern shows substantial variability in Alzheimer disease (AD), and 4 distinct spatiotemporal trajectories were distinguished using a data-driven approach called the Subtype and Stage Inference (SuStaIn). A visual method to validate and identify these subtypes is a requirement for their clinical translation. Our study aimed to provide a standardized topographic method for identifying tau patterns visually using tau-PET in a clinical setting.
methodsParticipants in this prospective study were included from the memory clinic of Geneva University Hospital. Inclusion criteria required participants to have undergone at least 1
resultsA total of 245 tau-PET scans of individuals ranging from cognitively unimpaired to mild dementia (mean age: 68.25 years, 52% women) were included and classified into different tau pattern subtypes. A substantial agreement between raters was found in visually interpreting tau subtypes (κ > 0.65, DISCUSSION: Visual classification reliably identified 4 tau patterns that differ in global tau load, clinical features, and long-term outcomes, suggesting its clinical usefulness for the detection of higher-risk AD variants. A clinically implementable classification of subtypes with faster decline is paramount for personalized diagnosis, accurate prognosis, and treatment.
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