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49/100

✓ Peer-reviewed alzhub usefulness score 49 out of 100. Long-term cohort studies

Topic: Brain proteins, microglia and lab models

Alzheimer's Disease (AD), one of the main causes of death in elderly people, is characterized by Mild Cognitive Impairment (MCI) at prodromal stage. Nevertheless, only part of MCI subjects could progress to AD. The main objective of this paper is thus to identify those who will develop a dementia of AD type among MCI patients. 18 F-FluoroDeoxyGlucose Positron Emission Tomography ( 18 F-FDG PET) serves as a neuroimaging modality for early diagnosis as it can reflect neural activity via measuring glucose uptake at resting-state.

Key findings

Nevertheless, only part of MCI subjects could progress to AD.
The main objective of this paper is thus to identify those who will develop a dementia of AD type among MCI patients. 18 F-FluoroDeoxyGlucose Positron Emission Tomography ( 18 F-FDG PET) serves as a neuroimaging modality for early diagnosis as it can reflect neural activity via measuring glucose uptake at resting-state.
In this paper, we design a deep network on 18 F-FDG PET modality to address the problem of AD identification at early MCI stage.
To this end, a Multi-view Separable Pyramid Network (MiSePyNet) is proposed, in which representations are learned from axial, coronal and sagittal views of PET scans so as to offer complementary information and then combined to make a decision jointly.

Why it matters

This paper designed a deep network using 18F-FDG PET imaging to identify which people with mild cognitive impairment will develop Alzheimer's disease dementia. It is a prediction method study, so it does not treat, cure, or prevent Alzheimer's disease.

Study details

Effect size83.05%
Evidence strengthLow

How this study scored 49/100

Published in a peer-reviewed journal. Scored zero for study design, sample size, 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 (IEEE transactions on medical imaging)
Journal's citation record	3 / 4	IEEE Transactions on Medical Imaging: journal h-index 329 (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	3 / 5	2021 — within 6 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	2 / 3	Effect reported as a number, without an interval or test
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	5 / 7	Cited 107 times (OpenAlex, 2026-10-10)
Citations per year	3 / 5	15.3 citations a year over 7 year(s) since 2021
Impact for its field and year	4 / 6	Cited 8.0× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here	1 / 6	Cited by 2 other studies in this library
Still being cited	3 / 4	Cited 57 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record	3 / 4	Last-listed author Éric Guedj: h-index 51 (OpenAlex, whole career)
Institution's track record	1 / 3	Aix-Marseille Université: institution h-index 910 (OpenAlex)
Multi-centre collaboration	1 / 3	OpenAlex lists 3 institution(s) in 1 country
Indexed in PubMed	2 / 2	Indexed in PubMed (PMID 32894711)
Free to read	0 / 2	Behind a paywall — scores zero
Total	49 / 100	—

What each of these 20 components measures, and what this score is not →

Read the original

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 names 7 authors; APA and Vancouver show the first six, BibTeX and the downloads carry all of them. Check the citation against the original before you use it.

APA 7th

Pan, X., Phan, T. L., Adel, M., Fossati, C., Gaidon, T., Wojak, J., et al. (2021). Multi-View Separable Pyramid Network for AD Prediction at MCI Stage by 18F-FDG Brain PET Imaging. IEEE transactions on medical imaging. https://doi.org/10.1109/tmi.2020.3022591

Vancouver

Pan X, Phan TL, Adel M, Fossati C, Gaidon T, Wojak J, et al. Multi-View Separable Pyramid Network for AD Prediction at MCI Stage by 18F-FDG Brain PET Imaging. IEEE transactions on medical imaging. 2021. doi:10.1109/tmi.2020.3022591. PMID: 32894711.

BibTeX

@article{pan2021-32894711,
  author  = {Pan, X. and Phan, T. L. and Adel, M. and Fossati, C. and Gaidon, T. and Wojak, J. and Guedj, E.},
  title   = {{Multi-View Separable Pyramid Network for AD Prediction at MCI Stage by 18F-FDG Brain PET Imaging}},
  journal = {IEEE transactions on medical imaging},
  year    = {2021},
  doi     = {10.1109/tmi.2020.3022591},
  pmid    = {32894711},
  url     = {https://doi.org/10.1109/tmi.2020.3022591}
}

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