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Quantitative Brain Amyloid PET
Jagust WJ, Mattay VS, Krainak DM, Wang SJ, Weidner LD, Hofling AA, Koo H, Hsieh P et al.. Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2024-05-01
Topic: Amyloid, tau and blood-test diagnosis
Since the development of amyloid tracers for PET imaging, there has been interest in quantifying amyloid burden in the brains of patients with Alzheimer disease. Quantitative amyloid PET imaging is poised to become a valuable approach in disease staging, theranostics, monitoring, and as an outcome measure for interventional studies. Yet, there are significant challenges and hurdles to overcome before it can be implemented into widespread clinical practice. On November 17, 2022, the U.S. Food and Drug Administration, Society of Nuclear Medicine and Molecular Imaging, and Medical Imaging and Technology Alliance cosponsored a public workshop comprising experts from academia, industry, and government agencies to discuss the role of quantitative brain amyloid PET imaging in staging, prognosis, and longitudinal assessment of Alzheimer disease. The workshop discussed a range of topics, including available radiopharmaceuticals for amyloid imaging; the methodology, metrics, and analytic validity of quantitative amyloid PET imaging; its use in disease staging, prognosis, and monitoring of progression; and challenges facing the field. This report provides a high-level summary of the presentations and the discussion.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Jagust, W. J., Mattay, V. S., Krainak, D. M., Wang, S. J., Weidner, L. D., Hofling, A. A., et al. (2024). Quantitative Brain Amyloid PET. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. https://doi.org/10.2967/jnumed.123.265766
Vancouver
Jagust WJ, Mattay VS, Krainak DM, Wang SJ, Weidner LD, Hofling AA, et al. Quantitative Brain Amyloid PET. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 2024. doi:10.2967/jnumed.123.265766. PMID: 38514082.
BibTeX
@article{jagust2024-38514082,
author = {Jagust, W. J. and Mattay, V. S. and Krainak, D. M. and Wang, S. J. and Weidner, L. D. and Hofling, A. A. and Koo, H. and Hsieh, P. and others},
title = {{Quantitative Brain Amyloid PET}},
journal = {Journal of nuclear medicine : official publication, Society of Nuclear Medicine},
year = {2024},
doi = {10.2967/jnumed.123.265766},
pmid = {38514082},
url = {https://doi.org/10.2967/jnumed.123.265766}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.
Key findings
- Yet, there are significant challenges and hurdles to overcome before it can be implemented into widespread clinical practice.
Why it matters
This report summarizes an expert workshop on measuring amyloid burden with PET imaging for staging and monitoring Alzheimer's disease. It notes that significant challenges remain before quantitative amyloid PET can be used widely in clinical practice, and it does not address treatment, cure, or prevention.
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Study details
- Study designlongitudinal study
- Evidence strengthModerate
How this study scored 52/100
Published in a peer-reviewed journal, and it is a longitudinal study following the same people over time. Scored zero for sample size, effect reported, studied in people and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Journal of nuclear medicine : official publication, Society of Nuclear Medicine) |
| Journal's citation record | 2 / 4 | Journal of Nuclear Medicine: journal h-index 230 (OpenAlex, 2026-10-29) |
| Study design | 7 / 12 | A longitudinal study following the same people over time |
| Strength of evidence | 3 / 5 | Rated “moderate” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 4 / 5 | 2024 — within 3 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 3 / 7 | Cited 24 times (OpenAlex, 2026-10-10) |
| Citations per year | 2 / 5 | 6.0 citations a year over 4 year(s) since 2024 |
| Impact for its field and year | 3 / 6 | Cited 6.5× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 2 / 6 | Cited by 3 other studies in this library |
| Still being cited | 2 / 4 | Cited 24 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 1 / 4 | Last-listed author Libero Marzella: h-index 7 (OpenAlex, whole career) |
| Institution's track record | 2 / 3 | University of California, Berkeley: institution h-index 2,012 (OpenAlex) |
| Multi-centre collaboration | 2 / 3 | OpenAlex lists 5 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 38514082) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Total | 52 / 100 | — |
What each of these 20 components measures, and what this score is not →
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