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Related Concept Videos

Positron Emission Tomography01:29

Positron Emission Tomography

Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body being...
Imaging Studies II: Positron Emission Tomography and Scintigraphy01:25

Imaging Studies II: Positron Emission Tomography and Scintigraphy

Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
Fundamental Principles of PET

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Related Experiment Video

Updated: Jun 17, 2026

In Vitro Assay for Studying the Aggregation of Tau Protein and Drug Screening
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Visual Classification of Tau-PET Detects 4 Subtypes With Different Long-Term Outcomes.

Cecilia Boccalini1, Gregory Mathoux2, Ines Hristovska3

  • 1Laboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Geneva University Neurocenter and Faculty of Medicine, University of Geneva, Switzerland.

Neurology
|September 12, 2025
PubMed
Summary

Visual tau-PET classification reliably identified four Alzheimer's disease subtypes with distinct clinical features and outcomes. This method aids in detecting higher-risk variants for personalized diagnosis and treatment.

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Area of Science:

  • Neuroimaging
  • Alzheimer's Disease Research
  • Biomarker Discovery

Background:

  • Alzheimer's disease (AD) exhibits variable tau accumulation patterns.
  • A data-driven approach identified four distinct tau spatiotemporal trajectories (SuStaIn).
  • Clinical translation requires a visual method to identify these tau subtypes.

Purpose of the Study:

  • To establish a standardized visual topographic method for identifying tau patterns using tau-PET.
  • To validate visual tau subtype classification in a clinical setting.
  • To assess the clinical utility of visual tau pattern identification.

Main Methods:

  • Prospective study of 245 individuals with tau-PET scans from a memory clinic.
  • Classification of tau-PET scans into four subtypes (S1-S4) using visual rating and the SuStain algorithm.
  • Statistical analysis of inter-rater agreement (Cohen's κ) and differences in clinical/biomarker features between subtypes.

Main Results:

  • Substantial agreement between raters for visual tau subtype interpretation (κ > 0.65).
  • Fair agreement between visual and automated tau subtype classification (κ = 0.39).
  • Visual classification identified subtypes with differing global tau load, clinical features, and cognitive decline rates.

Conclusions:

  • Visual tau-PET classification reliably identifies four distinct tau patterns in Alzheimer's disease.
  • These patterns correlate with clinical features and long-term outcomes, indicating clinical usefulness.
  • This method supports personalized diagnosis and prognosis for higher-risk AD variants.