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48/100

✓ Peer-reviewed alzhub usefulness score 48 out of 100. Mild cognitive impairment

Topic: Amyloid, tau and blood-test diagnosis

We identified 8 brain structural features from 192 MRI features that were associated with the risk of MCI progressing to AD, including: left hippocampus, left inferior lateral ventricle, left amygdala, right middle temporal gyrus, left fusiform gyrus, right amygdala, left cortical total volume, and brain parenchyma total volume. In the multivariate joint model, the atrophy of left hippocampus volume (α = -0.0009, P = 0.0010), the expansion of left lateral inferior ventricle volume (α = 0.0003, P = 0.0238), the atrophy of right middle temporal gyrus volume (α = -0.0002, P = 0.0036), and the accelerated atrophy of brain parenchyma total volume (α = 0.000005, P = 0.0008) were all significantly associated with the risk of disease transformation. Additionally, the covariate APOE ε4 allele remained a significant independent risk factor (γ = 0.6930, P < 0.0001). Left hippocampal atrophy, left inferior lateral ventricular enlargement, right middle temporal gyrus atrophy, and brain parenchyma total volume atrophy were independently associated with the risk of progression from MCI to AD, alongside the established genetic risk factor APOE ε4.

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

APA 7th

Wang, Y., Song, W., Yang, X., Meng, W., Ma, Y., Wang, A., et al. (2026). A longitudinal analysis of T1-weighted MRI features associated with progression from mild cognitive impairment to Alzheimer’s disease. BMC Medical Imaging. https://doi.org/10.1186/s12880-026-02404-1

Vancouver

Wang Y, Song W, Yang X, Meng W, Ma Y, Wang A, et al. A longitudinal analysis of T1-weighted MRI features associated with progression from mild cognitive impairment to Alzheimer’s disease. BMC Medical Imaging. 2026. doi:10.1186/s12880-026-02404-1. PMID: 42115951.

BibTeX

@article{wang2026-42115951,
  author  = {Wang, Yanxia and Song, Wangchen and Yang, Xinyu and Meng, Weijing and Ma, Yonghua and Wang, Aimin and Guo, Guiya and Zhang, Zhaoxue and others},
  title   = {{A longitudinal analysis of T1-weighted MRI features associated with progression from mild cognitive impairment to Alzheimer’s disease}},
  journal = {BMC Medical Imaging},
  year    = {2026},
  doi     = {10.1186/s12880-026-02404-1},
  pmid    = {42115951},
  url     = {https://doi.org/10.1186/s12880-026-02404-1}
}

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Key findings

We identified 8 brain structural features from 192 MRI features that were associated with the risk of MCI progressing to AD, including: left hippocampus, left inferior lateral ventricle, left amygdala, right middle temporal gyrus, left fusiform gyrus, right amygdala, left cortical total volume, and brain parenchyma total volume.
In the multivariate joint model, the atrophy of left hippocampus volume (α = -0.0009, P = 0.0010), the expansion of left lateral inferior ventricle volume (α = 0.0003, P = 0.0238), the atrophy of right middle temporal gyrus volume (α = -0.0002, P = 0.0036), and the accelerated atrophy of brain parenchyma total volume (α = 0.000005, P = 0.0008) were all significantly associated with the risk of disease transformation.
Additionally, the covariate APOE ε4 allele remained a significant independent risk factor (γ = 0.6930, P < 0.0001).
Left hippocampal atrophy, left inferior lateral ventricular enlargement, right middle temporal gyrus atrophy, and brain parenchyma total volume atrophy were independently associated with the risk of progression from MCI to AD, alongside the established genetic risk factor APOE ε4.

Why it matters

This longitudinal study identified several brain structural features and the APOE ε4 allele as independently associated with the risk of progression from mild cognitive impairment to Alzheimer's disease. It is about predicting progression and does not test any treatment, cure, or prevention.

Study details

Study designlongitudinal study
Participants947
Effect size33.16%; 66.84%
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 randomised / blinded because the record does not state it. We have no data on institution's track record, so that was left out: it earned 47 of the 97 points we could judge it on, which is 48 out of 100.

Component	Points	Why
Journal tier	7 / 10	Tier 3 — peer-reviewed journal (BMC Medical Imaging)
Journal's citation record	0 / 4	BMC Medical Imaging: journal h-index 74 (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	5 / 5	2026 — within 1 year(s) of the newest study here
Sample size	2 / 4	947 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	1 / 7	Cited 1 times (OpenAlex, 2026-10-10)
Citations per year	0 / 5	0.5 citations a year over 2 year(s) since 2026
Impact for its field and year	3 / 6	Cited 4.7× 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	0 / 4	Cited 1 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record	0 / 4	Last-listed author Fuyan Shi: h-index 3 (OpenAlex, whole career)
Institution's track record	— / 3	No institution listed in OpenAlex — left out of this score
Multi-centre collaboration	0 / 3	OpenAlex lists 0 institution(s) in 0 countries — scores zero (affiliation lists can be incomplete)
Indexed in PubMed	2 / 2	Indexed in PubMed (PMID 42115951)
Free to read	2 / 2	Free to read
Points	47 / 97	Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 47 of the 97 points we could judge it on is 48 out of 100.
Total	48 / 100	—

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

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