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Machine Learning-Based Framework for Differential Diagnosis Between Vascular Dementia and Alzheimer's Disease Using Structural MRI Features
Zheng Y, Guo H, Zhang L, Wu J, Li Q, Lv F.. Frontiers in neurology, 2019-10-25
Topic: Amyloid, tau and blood-test diagnosis
The experimental results demonstrate that the SVM with RBF achieved an encouraging performance with sensitivity (SEN), specificity (SPE), and accuracy (ACC) values of 82.65%, 87.17%, and 84.35%, respectively (AUC = 0.861, 95% CI = 0.820-0.902), for the differential diagnosis between VaD and AD. The proposed computer-aided diagnosis method highlights the potential of combining structural MRI and machine learning to support clinical decision making in distinction of VaD vs. AD.
Key findings
- The experimental results demonstrate that the SVM with RBF achieved an encouraging performance with sensitivity (SEN), specificity (SPE), and accuracy (ACC) values of 82.65%, 87.17%, and 84.35%, respectively (AUC = 0.861, 95% CI = 0.820-0.902), for the differential diagnosis between VaD and AD.
- The proposed computer-aided diagnosis method highlights the potential of combining structural MRI and machine learning to support clinical decision making in distinction of VaD vs.
Why it matters
This study used structural MRI and machine learning to distinguish vascular dementia from Alzheimer's disease, achieving 84.35% accuracy. It is a diagnostic aid, not a treatment, cure, or prevention for Alzheimer's disease.
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Study details
- Participants93
- Effect size82.65%; 87.17%; 84.35%
- Evidence strengthLow
How this study scored 46/100
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 (Frontiers in neurology) |
| Journal's citation record | 2 / 4 | Frontiers in Neurology: journal h-index 162 (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 | 2 / 5 | 2019 — within 10 year(s) of the newest study here |
| Sample size | 1 / 4 | 93 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 55 times (OpenAlex, 2026-10-10) |
| Citations per year | 2 / 5 | 6.1 citations a year over 9 year(s) since 2019 |
| Impact for its field and year | 2 / 6 | Cited 3.0× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 2 / 6 | Cited by 7 other studies in this library |
| Still being cited | 2 / 4 | Cited 29 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 2 / 4 | Last-listed author Fajin Lv: h-index 26 (OpenAlex, whole career) |
| Institution's track record | 0 / 3 | The Affiliated Yongchuan Hospital of Chongqing Medical University: institution h-index 254 (OpenAlex) |
| Multi-centre collaboration | 0 / 3 | OpenAlex lists 1 institution(s) in 1 country — scores zero (affiliation lists can be incomplete) |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 31708854) |
| Free to read | 2 / 2 | Free to read |
| Total | 46 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.3389/fneur.2019.01097
- PubMed: 31708854
- Original source →
- Free full text: Frontiers in Neurology →
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. Check the citation against the original before you use it.
APA 7th
Zheng, Y., Guo, H., Zhang, L., Wu, J., Li, Q., & Lv, F. (2019). Machine Learning-Based Framework for Differential Diagnosis Between Vascular Dementia and Alzheimer's Disease Using Structural MRI Features. Frontiers in neurology. https://doi.org/10.3389/fneur.2019.01097
Vancouver
Zheng Y, Guo H, Zhang L, Wu J, Li Q, Lv F. Machine Learning-Based Framework for Differential Diagnosis Between Vascular Dementia and Alzheimer's Disease Using Structural MRI Features. Frontiers in neurology. 2019. doi:10.3389/fneur.2019.01097. PMID: 31708854.
BibTeX
@article{zheng2019-31708854,
author = {Zheng, Y. and Guo, H. and Zhang, L. and Wu, J. and Li, Q. and Lv, F.},
title = {{Machine Learning-Based Framework for Differential Diagnosis Between Vascular Dementia and Alzheimer's Disease Using Structural MRI Features}},
journal = {Frontiers in neurology},
year = {2019},
doi = {10.3389/fneur.2019.01097},
pmid = {31708854},
url = {https://doi.org/10.3389/fneur.2019.01097}
}
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
7 studies in the alzhub library list this one in their references.