Visual Classification of Tau-PET Detects 4 Subtypes With Different Long-Term Outcomes
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.
Authors
- Gregory Mathoux (ORCID: https://orcid.org/0009-0001-4324-8482)
- Cecilia Boccalini (ORCID: https://orcid.org/0000-0002-3518-436X)
- Max Scheffler
- Valentina Garibotto (ORCID: https://orcid.org/0000-0003-2422-698X)
- Inès Hristovska (ORCID: https://orcid.org/0000-0003-4779-4103)
- Oskar Hansson (ORCID: https://orcid.org/0000-0001-8467-7286)
- Débora Elisa Peretti (ORCID: https://orcid.org/0000-0002-3033-8817)
- Federica Ribaldi (ORCID: https://orcid.org/0000-0001-9208-4472)
- Annachiara Arnone (ORCID: https://orcid.org/0000-0003-4182-9264)
- Jacob W. Vogel (ORCID: https://orcid.org/0000-0001-6394-9940)
- Giovanni B. Frisoni (ORCID: https://orcid.org/0000-0001-7075-7082)
Institutions
- University of Geneva (CH)
- Malmö University (SE)
- Lund University (SE)
- University Hospital of Geneva (CH)
- Centre d'Imagerie BioMedicale (CH)
- Geneva College (US)
Publication Details
- Journal
- Neurology
- Published
- 2025-09-12
- DOI
- https://doi.org/10.1212/wnl.0000000000213950
- Citations
- 3
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 4.08
Funders
- National Science Foundation
- Eli Lilly and Company
- Pfizer
- Sanofi
- Biogen
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Eisai
- Novo Nordisk
- Hôpitaux Universitaires de Genève
- Science for Life Laboratory
- Siemens Healthineers
- Fondation Segré
- Genentech
- Avid Radiopharmaceuticals