Home › Research › Long-term cohort studies
Optimization of Statistical Single Subject Analysis of Brain FDG PET for the Prognosis of Mild Cognitive Impairment-to-Alzheimer's Disease Conversion
Lange C, Suppa P, Frings L, Brenner W, Spies L, Buchert R.. Journal of Alzheimer's disease : JAD, 2016-01-01
Topic: Amyloid, tau and blood-test diagnosis
Background Positron emission tomography (PET) with the glucose analog F-18-fluorodeoxyglucose (FDG) is widely used in the diagnosis of neurodegenerative diseases. Guidelines recommend voxel-based statistical testing to support visual evaluation of the PET images. However, the performance of voxel-based testing strongly depends on each single preprocessing step involved.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Lange, C., Suppa, P., Frings, L., Brenner, W., Spies, L., & Buchert, R. (2016). Optimization of Statistical Single Subject Analysis of Brain FDG PET for the Prognosis of Mild Cognitive Impairment-to-Alzheimer's Disease Conversion. Journal of Alzheimer's disease : JAD. https://doi.org/10.3233/jad-150814
Vancouver
Lange C, Suppa P, Frings L, Brenner W, Spies L, Buchert R. Optimization of Statistical Single Subject Analysis of Brain FDG PET for the Prognosis of Mild Cognitive Impairment-to-Alzheimer's Disease Conversion. Journal of Alzheimer's disease : JAD. 2016. doi:10.3233/jad-150814. PMID: 26577523.
BibTeX
@article{lange2016-26577523,
author = {Lange, C. and Suppa, P. and Frings, L. and Brenner, W. and Spies, L. and Buchert, R.},
title = {{Optimization of Statistical Single Subject Analysis of Brain FDG PET for the Prognosis of Mild Cognitive Impairment-to-Alzheimer's Disease Conversion}},
journal = {Journal of Alzheimer's disease : JAD},
year = {2016},
doi = {10.3233/jad-150814},
pmid = {26577523},
url = {https://doi.org/10.3233/jad-150814}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.
Key findings
- Guidelines recommend voxel-based statistical testing to support visual evaluation of the PET images.
- However, the performance of voxel-based testing strongly depends on each single preprocessing step involved.
- Objective To optimize the processing pipeline of voxel-based testing for the prognosis of dementia in subjects with amnestic mild cognitive impairment (MCI).
- Methods The study included 108 ADNI MCI subjects grouped as 'stable MCI' (n = 77) or 'MCI-to-AD converter' according to their diagnostic trajectory over 3 years.
Why it matters
This study optimized the processing pipeline for voxel-based FDG PET testing to predict conversion from mild cognitive impairment to Alzheimer's disease in 108 ADNI subjects. It is a methods study, so it does not treat, cure, or prevent Alzheimer's disease.
Study details
- Participants77
- Evidence strengthLow
How this study scored 43/100
Published in a peer-reviewed journal. Scored zero for study design, effect reported and randomised / blinded because the record does not state it. We have no data on senior author's track record, so that was left out: it earned 41 of the 96 points we could judge it on, which is 43 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Journal of Alzheimer's disease : JAD) |
| Journal's citation record | 2 / 4 | Journal of Alzheimer s Disease: journal h-index 218 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 1 / 5 | 2016 — within 20 year(s) of the newest study here |
| Sample size | 1 / 4 | 77 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 | 4 / 7 | Cited 58 times (OpenAlex, 2026-10-10) |
| Citations per year | 2 / 5 | 4.8 citations a year over 12 year(s) since 2016 |
| Impact for its field and year | 3 / 6 | Cited 4.8× 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 | 1 / 4 | Cited 7 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | 1 / 3 | Charité - Universitätsmedizin Berlin: institution h-index 1,116 (OpenAlex) |
| Multi-centre collaboration | 1 / 3 | OpenAlex lists 2 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 26577523) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Points | 41 / 96 | Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 41 of the 96 points we could judge it on is 43 out of 100. |
| Total | 43 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
May need a subscription OpenAlex found no free copy of the full text (checked 6 Feb 1020), so the publisher may charge for it. The PubMed abstract is free.
Studies this one cites
Referenced by this study and also in the alzhub library, so you can read them here. Showing 12 of 14.
Later studies that cite this one
3 studies in the alzhub library list this one in their references.
Related studies in Long-term cohort studies
Also tagged “machine”
835 studies in the library carry the topic tag “machine”; these are this study's neighbours in a fixed, alphabetical-by-hash tour of them, not the closest in content. All 835 tagged studies.