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Predicting Regional Pattern of Longitudinal β-Amyloid Accumulation by Baseline PET
Guo T, Brendel M, Grimmer T, Rominger A, Yakushev I, Alzheimer’s Disease Neuroimaging Initiative.. Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2016-10-06
Topic: Amyloid, tau and blood-test diagnosis
Pseudotemporal measurements from baseline PET data explained 87% ( P Pseudotemporal analysis of baseline PET images is capable of predicting the regional pattern of longitudinal Aβ accumulation in AD at a group level. This approach may be useful in exploring spatial patterns of Aβ accumulation in other amyloid-associated disorders such as Lewy body disease and atypical forms of AD. In addition, the method allows identification of brain regions with a high accumulation rate of Aβ, which are of particular interest for antiamyloid clinical trials.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Guo, T., Brendel, M., Grimmer, T., Rominger, A., Yakushev, I., & Alzheimer’s Disease Neuroimaging Initiative. (2017). Predicting Regional Pattern of Longitudinal β-Amyloid Accumulation by Baseline PET. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. https://doi.org/10.2967/jnumed.116.176115
Vancouver
Guo T, Brendel M, Grimmer T, Rominger A, Yakushev I, Alzheimer’s Disease Neuroimaging Initiative. Predicting Regional Pattern of Longitudinal β-Amyloid Accumulation by Baseline PET. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 2017. doi:10.2967/jnumed.116.176115. PMID: 27754901.
BibTeX
@article{guo2017-27754901,
author = {Guo, T. and Brendel, M. and Grimmer, T. and Rominger, A. and Yakushev, I. and {Alzheimer’s Disease Neuroimaging Initiative}},
title = {{Predicting Regional Pattern of Longitudinal β-Amyloid Accumulation by Baseline PET}},
journal = {Journal of nuclear medicine : official publication, Society of Nuclear Medicine},
year = {2017},
doi = {10.2967/jnumed.116.176115},
pmid = {27754901},
url = {https://doi.org/10.2967/jnumed.116.176115}
}
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Key findings
- Pseudotemporal measurements from baseline PET data explained 87% ( P Pseudotemporal analysis of baseline PET images is capable of predicting the regional pattern of longitudinal Aβ accumulation in AD at a group level.
- This approach may be useful in exploring spatial patterns of Aβ accumulation in other amyloid-associated disorders such as Lewy body disease and atypical forms of AD.
- In addition, the method allows identification of brain regions with a high accumulation rate of Aβ, which are of particular interest for antiamyloid clinical trials.
Why it matters
This study found that analysis of baseline amyloid PET images could predict the regional pattern of later amyloid accumulation at a group level. The authors suggest this approach could identify brain regions with high amyloid accumulation rates, which may be of interest for antiamyloid clinical trials.
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Study details
- Study designlongitudinal study
- Participants58
- Evidence strengthModerate
How this study scored 48/100
Published in a peer-reviewed journal, and it is a longitudinal study following the same people over time. Scored zero for effect reported 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 | 2 / 5 | 2017 — within 10 year(s) of the newest study here |
| Sample size | 1 / 4 | 58 participants |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 3 / 7 | Cited 23 times (OpenAlex, 2026-10-10) |
| Citations per year | 1 / 5 | 2.1 citations a year over 11 year(s) since 2017 |
| Impact for its field and year | 2 / 6 | Cited 1.0× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 1 / 4 | Cited 7 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 2 / 4 | Last-listed author Igor Y. Yakushev: h-index 40 (OpenAlex, whole career) |
| Institution's track record | 1 / 3 | Ludwig-Maximilians-Universität München: institution h-index 1,224 (OpenAlex) |
| Multi-centre collaboration | 1 / 3 | OpenAlex lists 3 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 27754901) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Total | 48 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
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