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Automated analysis of FDG PET as a tool for single-subject probabilistic prediction and detection of Alzheimer's disease dementia
Arbizu J, Prieto E, Martínez-Lage P, Martí-Climent JM, García-Granero M, Lamet I, Pastor P, Riverol M et al.. European journal of nuclear medicine and molecular imaging, 2013-05-29
Topic: Amyloid, tau and blood-test diagnosis
Purpose To introduce, evaluate and validate a voxel-based analysis method of ¹⁸F-FDG PET imaging for determining the probability of Alzheimer's disease (AD) in a particular individual. Methods The subject groups for model derivation comprised 80 healthy subjects (HS), 36 patients with mild cognitive impairment (MCI) who converted to AD dementia within 18 months, 85 non-converter MCI patients who did not convert within 24 months, and 67 AD dementia patients with baseline FDG PET scan were recruited from the AD Neuroimaging Initiative (ADNI) database. Additionally, baseline FDG PET scans from 20 HS, 27 MCI and 21 AD dementia patients from our institutional cohort were included for model validation.
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APA 7th
Arbizu, J., Prieto, E., Martínez-Lage, P., Martí-Climent, J. M., García-Granero, M., Lamet, I., et al. (2013). Automated analysis of FDG PET as a tool for single-subject probabilistic prediction and detection of Alzheimer's disease dementia. European journal of nuclear medicine and molecular imaging. https://doi.org/10.1007/s00259-013-2458-z
Vancouver
Arbizu J, Prieto E, Martínez-Lage P, Martí-Climent JM, García-Granero M, Lamet I, et al. Automated analysis of FDG PET as a tool for single-subject probabilistic prediction and detection of Alzheimer's disease dementia. European journal of nuclear medicine and molecular imaging. 2013. doi:10.1007/s00259-013-2458-z. PMID: 23715905.
BibTeX
@article{arbizu2013-23715905,
author = {Arbizu, J. and Prieto, E. and Martínez-Lage, P. and Martí-Climent, J. M. and García-Granero, M. and Lamet, I. and Pastor, P. and Riverol, M. and others},
title = {{Automated analysis of FDG PET as a tool for single-subject probabilistic prediction and detection of Alzheimer's disease dementia}},
journal = {European journal of nuclear medicine and molecular imaging},
year = {2013},
doi = {10.1007/s00259-013-2458-z},
pmid = {23715905},
url = {https://doi.org/10.1007/s00259-013-2458-z}
}
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Key findings
- Methods The subject groups for model derivation comprised 80 healthy subjects (HS), 36 patients with mild cognitive impairment (MCI) who converted to AD dementia within 18 months, 85 non-converter MCI patients who did not convert within 24 months, and 67 AD dementia patients with baseline FDG PET scan were recruited from the AD Neuroimaging Initiative (ADNI) database.
- Additionally, baseline FDG PET scans from 20 HS, 27 MCI and 21 AD dementia patients from our institutional cohort were included for model validation.
- The analysis technique was designed on the basis of the AD-related hypometabolic convergence index adapted for our laboratory-specific context (AD-PET index), and combined in a multivariable model with age and gender for AD dementia detection (AD score).
- A logistic regression analysis of different cortical PET indexes and clinical variables was applied to search for relevant predictive factors to include in the multivariable model for the prediction of MCI conversion to AD dementia (AD-Conv score).
Why it matters
This study introduced and evaluated a voxel-based method of FDG PET imaging to estimate the probability of Alzheimer's disease in an individual. The method was designed and validated using data from healthy subjects, people with mild cognitive impairment, and Alzheimer's disease dementia patients.
Study details
- Participants36
- Effect size29.7%; 7.5%
- Evidence strengthModerate
How this study scored 49/100
Published in a peer-reviewed journal. Scored zero for study design and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (European journal of nuclear medicine and molecular imaging) |
| Journal's citation record | 2 / 4 | European Journal of Nuclear Medicine and Molecular Imaging: journal h-index 224 (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 | 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 | 1 / 5 | 2013 — within 20 year(s) of the newest study here |
| Sample size | 1 / 4 | 36 participants |
| Effect reported | 2 / 3 | Effect reported as a number, without an interval or test |
| 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 44 times (OpenAlex, 2026-10-10) |
| Citations per year | 1 / 5 | 2.9 citations a year over 15 year(s) since 2013 |
| Impact for its field and year | 3 / 6 | Cited 3.6× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 2 / 6 | Cited by 5 other studies in this library |
| Still being cited | 0 / 4 | Cited 2 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 4 / 4 | Last-listed author Michael Walter Weiner: h-index 171 (OpenAlex, whole career) |
| Institution's track record | 2 / 3 | Massachusetts General Hospital: institution h-index 2,057 (OpenAlex) |
| Multi-centre collaboration | 2 / 3 | OpenAlex lists 5 institution(s) in 2 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 23715905) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Total | 49 / 100 | — |
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