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Updated: Feb 18, 2026

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Hybrid PET/MRI Imaging of Alzheimer's Disease Based on 18F-AV-1451
Published on: April 18, 2025
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Plasma p-tau217 predicts PET-based pathological staging for precision Alzheimer disease assessment
Han-Kyeol Kim1, Jae Hoon Lee2, Joong-Hyun Chun3
1Department of Neurology, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, Gangwon-do, South Korea.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|February 17, 2026
Summary
Plasma biomarkers, specifically phosphorylated tau (p-tau) 217, accurately reflect positron emission tomography (PET) staging in Alzheimer's disease spectrum. This offers accessible alternatives for identifying patients for disease-modifying therapies.
Area of Science:
- Neurodegenerative disease research
- Biomarker discovery
- Alzheimer's disease diagnostics
Background:
- Positron emission tomography (PET) is the gold standard for Alzheimer's disease (AD) pathological staging.
- Limited PET availability necessitates accessible diagnostic alternatives.
- Plasma biomarkers are emerging as promising tools for AD staging.
Purpose of the Study:
- To evaluate plasma biomarkers for detecting PET-based pathological stages in AD.
- To assess performance using single-axis (Thal/Braak) and integrated A/T composite models.
- To identify accessible alternatives to PET for AD staging.
Main Methods:
- 237 participants with AD spectrum pathology were enrolled.
- Multimodal assessments included amyloid/tau PET and plasma biomarker analysis (p-tau217, %p-tau217, Aβ42/40 ratio).
- Receiver operating characteristics (ROC) analysis and probability-based stage prediction were used.
Main Results:
- Plasma p-tau217 demonstrated excellent detection for early amyloid (Thal I-II) and intermediate tau (Braak III-IV) pathology.
- Probability-based prediction identified therapeutic window thresholds (1.895-5.077 pg/mL).
- Integrated A/T composite staging showed highly consistent thresholds with <3% variance.
Conclusions:
- Plasma p-tau217 biomarkers accurately mirror PET-based staging across different models.
- Convergent therapeutic window thresholds indicate robust biological transitions.
- Plasma biomarkers enable accessible identification of optimal candidates for disease-modifying therapies.

