Evidence map›Paper›PMID 36596660›Full record

ArticleThe British journal of ophthalmology2024

Deep segmentation of OCTA for evaluation and association of changes of retinal microvasculature with Alzheimer's disease and mild cognitive impairment.

Jianyang Xie, Quanyong Yi, Yufei Wu, Yalin Zheng, Yonghuai Liu, Antonella Macerollo, Huazhu Fu, Yanwu Xu, Jiong Zhang, Ardhendu Behera and 6 more

Open access · hybridAbstract read
In one paragraph

Article in The British journal of ophthalmology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
11.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 48 citations in OpenAlex.

  1. AI-driven multimodal retinal imaging for early detection and risk stratification of vascular and neurodegenerative diseases.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
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  10. Brain and retina in Alzheimer's disease: Pathological intersections and estimates from imaging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
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  14. Observational
  15. Cerebral Amyloid Deposition WithHuman brain mapping · 2025
    Article
  16. Ocular changes as potential biomarkers for early diagnosis of Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  17. Article
  18. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 11 institutions in 5 countries.

Jianyang Xie *Cixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, China.ORCID 0000-0002-4565-5807
Quanyong Yi *Ningbo Eye Hospital, Ningbo, Zhejiang, China.ORCID 0000-0002-9369-3998
Yufei Wu *Department of Ophthalmology, The Affiliated People's Hospital of Ningbo University, Ningbo, Zhejiang, China.
Yalin ZhengDepartment of Eye and Vision Science, University of Liverpool, Liverpool, UK.ORCID 0000-0002-7873-0922
Yonghuai LiuDepartment of Computer Science, Edge Hill University, Ormskirk, UK.
Antonella MacerolloInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
Huazhu FuInstitute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore.ORCID 0000-0002-9702-5524
Yanwu XuIntelligent Healthcare Unit, Baidu Inc, Beijing, Haidian, China.
Jiong ZhangCixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, China.
Ardhendu BeheraDepartment of Computer Science, Edge Hill University, Ormskirk, UK.
Chenlei FanDepartment of Neurology, The Affiliated People's Hospital of Ningbo University, Ningbo, Zhejiang, China.
Alejandro F FrangiSchool of Computing, University of Leeds, Leeds, UK.
Jiang LiuDepartment of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Qinkang LuDepartment of Ophthalmology, Wenzhou Medical University, Wenzhou, Zhejiang, China yitian.zhao@nimte.ac.cn doctorqihong@163.com luqinkang@163.com.
Hong QiOphthalmology, Peking University Third Hospital, Haidian, Beijing, China yitian.zhao@nimte.ac.cn doctorqihong@163.com luqinkang@163.com.ORCID 0000-0003-3066-8020
Yitian ZhaoCixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, China yitian.zhao@nimte.ac.cn doctorqihong@163.com luqinkang@163.com.
Chinese Academy of Sciences · CNEdge Hill University · GBNingbo University · CNUniversity of Liverpool · GBAgency for Science, Technology and Research · SGAnyang Eye Hospital · CNIntelligent Health (United Kingdom) · GBPeking University · CNSouthern University of Science and Technology · CNUniversity of Leeds · GBWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOptical coherence tomography angiography (OCTA) enables fast and non-invasive high-resolution imaging of retinal microvasculature and is suggested as a potential tool in the early detection of retinal microvascular changes in Alzheimer's Disease (AD). We developed a standardised OCTA analysis framework and compared their extracted parameters among controls and AD/mild cognitive impairment (MCI) in a cross-section study.

methodsWe defined and extracted geometrical parameters of retinal microvasculature at different retinal layers and in the foveal avascular zone (FAZ) from segmented OCTA images obtained using well-validated state-of-the-art deep learning models. We studied these parameters in 158 subjects (62 healthy control, 55 AD and 41 MCI) using logistic regression to determine their potential in predicting the status of our subjects.

resultsIn the AD group, there was a significant decrease in vessel area and length densities in the inner vascular complexes (IVC) compared with controls. The number of vascular bifurcations in AD is also significantly lower than that of healthy people. The MCI group demonstrated a decrease in vascular area, length densities, vascular fractal dimension and the number of bifurcations in both the superficial vascular complexes (SVC) and the IVC compared with controls. A larger vascular tortuosity in the IVC, and a larger roundness of FAZ in the SVC, can also be observed in MCI compared with controls.

conclusionOur study demonstrates the applicability of OCTA for the diagnosis of AD and MCI, and provides a standard tool for future clinical service and research. Biomarkers from retinal OCTA images can provide useful information for clinical decision-making and diagnosis of AD and MCI.

Indexed as

Alzheimer DiseaseCognitive DysfunctionFluorescein AngiographyHumansMicrovesselsRetinal VesselsTomography, Optical CoherenceDegenerationRetina

Identifiers

PMID36596660
PMCPMC10894818
OpenAlexW4313461935

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.