Home › Research › Long-term cohort studies
Integrating longitudinal information in hippocampal volume measurements for the early detection of Alzheimer's disease
Chincarini A, Sensi F, Rei L, Gemme G, Squarcia S, Longo R, Brun F, Tangaro S et al.. NeuroImage, 2015-10-26
Topic: Amyloid, tau and blood-test diagnosis
Background Structural MRI measures for monitoring Alzheimer's Disease (AD) progression are becoming instrumental in the clinical practice, and more so in the context of longitudinal studies. This investigation addresses the impact of four image analysis approaches on the longitudinal performance of the hippocampal volume. Methods We present a hippocampal segmentation algorithm and validate it on a gold-standard manual tracing database.
Key findings
- This investigation addresses the impact of four image analysis approaches on the longitudinal performance of the hippocampal volume.
- Methods We present a hippocampal segmentation algorithm and validate it on a gold-standard manual tracing database.
- We segmented 460 subjects from ADNI, each subject having been scanned twice at baseline, 12-month and 24month follow-up scan (1.5T, T1 MRI).
- We used the bilateral hippocampal volume v and its variation, measured as the annualized volume change Λ=δv/year(mm(3)/y).
Why it matters
This study compared image analysis approaches for measuring hippocampal volume over time to help detect Alzheimer's disease earlier. It is about improving a measurement method, not about treating, curing, or preventing dementia.
Study details
- Study designlongitudinal study
- Participants460
- Effect sizeauc=0.88
- Evidence strengthModerate
How this study scored 62/100
Published in a peer-reviewed journal, and it is a longitudinal study following the same people over time. Scored zero for randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (NeuroImage) |
| Journal's citation record | 4 / 4 | NeuroImage: journal h-index 523 (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 | 1 / 5 | 2016 — within 20 year(s) of the newest study here |
| Sample size | 2 / 4 | 460 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 95 times (OpenAlex, 2026-10-10) |
| Citations per year | 2 / 5 | 7.9 citations a year over 12 year(s) since 2016 |
| Impact for its field and year | 4 / 6 | Cited 8.5× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 2 / 6 | Cited by 4 other studies in this library |
| Still being cited | 2 / 4 | Cited 15 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 3 / 4 | Last-listed author Flavio Mariano Nobili: h-index 84 (OpenAlex, whole career) |
| Institution's track record | 1 / 3 | University of Geneva: institution h-index 1,049 (OpenAlex) |
| Multi-centre collaboration | 3 / 3 | OpenAlex lists 11 institution(s) in 2 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 26515904) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Total | 62 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1016/j.neuroimage.2015.10.065
- PubMed: 26515904
- Original source →
- Free full text: NeuroImage →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
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.
APA 7th
Chincarini, A., Sensi, F., Rei, L., Gemme, G., Squarcia, S., Longo, R., et al. (2016). Integrating longitudinal information in hippocampal volume measurements for the early detection of Alzheimer's disease. NeuroImage. https://doi.org/10.1016/j.neuroimage.2015.10.065
Vancouver
Chincarini A, Sensi F, Rei L, Gemme G, Squarcia S, Longo R, et al. Integrating longitudinal information in hippocampal volume measurements for the early detection of Alzheimer's disease. NeuroImage. 2016. doi:10.1016/j.neuroimage.2015.10.065. PMID: 26515904.
BibTeX
@article{chincarini2016-26515904,
author = {Chincarini, A. and Sensi, F. and Rei, L. and Gemme, G. and Squarcia, S. and Longo, R. and Brun, F. and Tangaro, S. and others},
title = {{Integrating longitudinal information in hippocampal volume measurements for the early detection of Alzheimer's disease}},
journal = {NeuroImage},
year = {2016},
doi = {10.1016/j.neuroimage.2015.10.065},
pmid = {26515904},
url = {https://doi.org/10.1016/j.neuroimage.2015.10.065}
}
Studies this one cites
Referenced by this study and also in the alzhub library, so you can read them here.
Later studies that cite this one
4 studies in the alzhub library list this one in their references.
Related studies in Long-term cohort studies
Also tagged “classification”
835 studies in the library carry the topic tag “classification”; these are this study's neighbours in a fixed, alphabetical-by-hash tour of them, not the closest in content. All 835 tagged studies.