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Updated: Jan 8, 2026

Hybrid PET/MRI Imaging of Alzheimer's Disease Based on 18F-AV-1451
Published on: April 18, 2025
Alzheimer's Imaging Consortium.
Jiaying Lu1, Jie Wang2, Huiwei Zhang3
1Department of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, Shanghai, Shanghai, China.
Alzheimer's disease (AD) biomarkers significantly improve prognosis prediction in memory clinic patients. Quantitative tau burden, particularly in neocortical areas, offers superior prognostic value over binary assessments for AD progression.
Area of Science:
- Neurology
- Biomarker Research
- Alzheimer's Disease Diagnostics
Background:
- Clinical-biological diagnosis of Alzheimer's disease (AD) is increasingly recognized.
- Biological profiles aid in disease monitoring and prognosis, but real-world data from memory clinics is limited.
Purpose of the Study:
- To evaluate the prognostic value of AD core biomarkers in a memory clinic cohort.
- To compare the effectiveness of quantitative versus binary biomarker assessments for predicting clinical progression.
Main Methods:
- 211 subjects with cognitive concerns and 31 controls underwent AD pathological evaluations (amyloid-PET/plasma p-tau217, Florzolotau tau-PET).
- Biomarkers assessed included binary amyloid/tau status and quantitative tau burden (MTL, NEO).
- Clinical progression was the primary outcome; prognostic values were compared using ROC analysis.
Main Results:
- Age and sex were significant risk factors for clinical progression.
- Incorporating AD biomarkers individually significantly improved prognostic value (AUC 0.73-0.80) compared to demographics alone (AUC 0.57).
- Quantitative tau burden in neocortical areas showed the best prognostic added value, outperforming binary assessments, especially in the amyloid-positive subcohort.
Conclusions:
- AD core biomarkers show promise for enhancing clinical prognosis in memory clinics.
- Quantitative tau burden assessment is preferable to binary status for predicting AD progression.
- These findings support the use of advanced biomarker profiling for improved patient management in the AD continuum.
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