Home › Research › Brain scans and imaging
Deep-learning retinal vessel calibre measurements and risk of cognitive decline and dementia
Carol Y Cheung, Win Lee Edwin Wong, Saima Hilal, Cheuk Ni Kan, Bibek Gyanwali, Yih Chung Tham, Leopold Schmetterer, Dejiang Xu et al.. Brain communications, 2022-08-17
Topic: Brain imaging, connectivity and assessment
Previous studies have explored the associations of retinal vessel calibre, measured from retinal photographs or fundus images using semi-automated computer programs, with cognitive impairment and dementia, supporting the concept that retinal blood vessels reflect microvascular changes in the brain. Recently, artificial intelligence deep-learning algorithms have been developed for the fully automated assessment of retinal vessel calibres. Therefore, we aimed to determine whether deep-learning-based retinal vessel calibre measurements are predictive of risk of cognitive decline and dementia. We conducted a prospective study recruiting participants from memory clinics at the National University Hospital and St. Luke's Hospital in Singapore; all participants had comprehensive clinical and neuropsychological examinations at baseline and annually for up to 5 years. Fully automated measurements of retinal arteriolar and venular calibres from retinal fundus images were estimated using a deep-learning system. Cox regression models were then used to assess the relationship between baseline retinal vessel calibre and the risk of cognitive decline and developing dementia, adjusting for age, gender, ethnicity, education, cerebrovascular disease status, hypertension, hyperlipidemia, diabetes, and smoking. A total of 491 participants were included in this study, of whom 254 developed cognitive decline over 5 years. In multivariable models, narrower retinal arteriolar calibre (hazard ratio per standard deviation decrease = 1.258, P = 0.008) and wider retinal venular calibre (hazard ratio per standard deviation increase = 1.204, P = 0.037) were associated with increased risk of cognitive decline. Among participants with cognitive impairment but no dementia at baseline (n = 212), 44 progressed to have incident dementia; narrower retinal arteriolar calibre was also associated with incident dementia (hazard ratio per standard deviation decrease = 1.624, P = 0.021). In summary, deep-learning-based measurement of retinal vessel calibre was associated with risk of cognitive decline and dementia.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Cheung, C. Y., Wong, W. L. E., Hilal, S., Kan, C. N., Gyanwali, B., Tham, Y. C., et al. (2022). Deep-learning retinal vessel calibre measurements and risk of cognitive decline and dementia. Brain communications. https://doi.org/10.1093/braincomms/fcac212
Vancouver
Cheung CY, Wong WLE, Hilal S, Kan CN, Gyanwali B, Tham YC, et al. Deep-learning retinal vessel calibre measurements and risk of cognitive decline and dementia. Brain communications. 2022. doi:10.1093/braincomms/fcac212. PMID: 36043139.
BibTeX
@article{cheung2022-36043139,
author = {Cheung, Carol Y and Wong, Win Lee Edwin and Hilal, Saima and Kan, Cheuk Ni and Gyanwali, Bibek and Tham, Yih Chung and Schmetterer, Leopold and Xu, Dejiang and others},
title = {{Deep-learning retinal vessel calibre measurements and risk of cognitive decline and dementia}},
journal = {Brain communications},
year = {2022},
doi = {10.1093/braincomms/fcac212},
pmid = {36043139},
url = {https://doi.org/10.1093/braincomms/fcac212}
}
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.
Key findings
- In multivariable models, narrower retinal arteriolar calibre (hazard ratio per standard deviation decrease = 1.258, P = 0.008) and wider retinal venular calibre (hazard ratio per standard deviation increase = 1.204, P = 0.037) were associated with increased risk of cognitive decline.
- Among participants with cognitive impairment but no dementia at baseline (n = 212), 44 progressed to have incident dementia; narrower retinal arteriolar calibre was also associated with incident dementia (hazard ratio per standard deviation decrease = 1.624, P = 0.021).
- In summary, deep-learning-based measurement of retinal vessel calibre was associated with risk of cognitive decline and dementia.
New to this subject? Start with our plain-English guide: Brain scans & tests →
Study details
- Participants212
- Evidence strengthLow
How this study scored 54/100
Published in a leading specialty journal. Scored zero for study design, effect reported and randomized / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record, multicenter collaboration and free to read, so those were left out: it earned 30 of the 56 points we could judge it on, which is 54 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 9 / 10 | Tier 2 — leading specialty journal (Brain communications) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| 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 | 2022 — within 6 year(s) of the newest study here |
| Sample size | 2 / 4 | 212 participants |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomized / blinded | 0 / 2 | No randomization or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multicenter collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 36043139) |
| Free to read | — / 2 | Access not recorded — left out of this score |
| Points | 30 / 56 | Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 30 of the 56 points we could judge it on is 54 out of 100. |
| Total | 54 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
Free copy unknown: no free-copy check has an answer for this record yet. That does not mean it is paywalled.
Related
Studies in the library that share something with this one. The line above each title says what.
Related studies in Brain scans and imaging
Also tagged “convolutional”
205 studies in the library carry the topic tag “convolutional”; these are this study's neighbours in a fixed, alphabetical-by-hash tour of them, not the closest in content. All 205 tagged studies.