Evidence map›Paper›PMID 34457397›Full record

ArticleBiomedical optics express2021

Developing a normative database for retinal perfusion using optical coherence tomography angiography.

Bingyao Tan, Yin Ci Sim, Jacqueline Chua, Dheo Yusufi, Damon Wong, Ai Ping Yow, Calvin Chin, Anna C S Tan, Chelvin C A Sng, Rupesh Agrawal and 5 more

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

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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

15 authors at 7 institutions in 5 countries.

Bingyao TanSERI-NTU Advanced Ocular Engineering (STANCE), Singapore.ORCID https://orcid.org/0000-0002-6532-9603
Yin Ci SimSingapore Eye Research Institute, Singapore National Eye Centre, Singapore.ORCID https://orcid.org/0000-0002-9643-9266
Jacqueline ChuaSERI-NTU Advanced Ocular Engineering (STANCE), Singapore.
Dheo YusufiSERI-NTU Advanced Ocular Engineering (STANCE), Singapore.ORCID https://orcid.org/0000-0003-2048-1211
Damon WongSERI-NTU Advanced Ocular Engineering (STANCE), Singapore.
Ai Ping YowSERI-NTU Advanced Ocular Engineering (STANCE), Singapore.ORCID https://orcid.org/0000-0002-0287-2609
Calvin ChinDuke-NUS Medical School, Singapore.
Anna C S TanSingapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Chelvin C A SngSingapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Rupesh AgrawalSingapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Lekha GopalKhoo Teck Puat Hospital, Singapore.
Ralene SimSingapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Gavin TanSingapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Ecosse LamoureuxSingapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Leopold SchmettererSERI-NTU Advanced Ocular Engineering (STANCE), Singapore.
Singapore Eye Research Institute · SGTechnologies pour la Santé · FRNanyang Technological University · SGChangi General Hospital · SGDuke-NUS Medical School · SGKhoo Teck Puat Hospital · SGSingapore National Eye Center · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Visualizing and characterizing microvascular abnormalities with optical coherence tomography angiography (OCTA) has deepened our understanding of ocular diseases, such as glaucoma, diabetic retinopathy, and age-related macular degeneration. Two types of microvascular defects can be detected by OCTA: focal decrease because of localized absence and collapse of retinal capillaries, which is referred to as the non-perfusion area in OCTA, and diffuse perfusion decrease usually detected by comparing with healthy case-control groups. Wider OCTA allows for insights into peripheral retinal vascularity, but the heterogeneous perfusion distribution from the macula, parapapillary area to periphery hurdles the quantitative assessment. A normative database for OCTA could estimate how much individual's data deviate from the normal range, and where the deviations locate. Here, we acquired OCTA images using a swept-source OCT system and a 12×12 mm protocol in healthy subjects. We automatically segmented the large blood vessels with U-Net, corrected for anatomical factors such as the relative position of fovea and disc, and segmented the capillaries by a moving window scheme. A total of 195 eyes were included and divided into 4 age groups: < 30 (n=24) years old, 30-49 (n=28) years old, 50-69 (n=109) years old and >69 (n=34) years old. This provides an age-dependent normative database for characterizing retinal perfusion abnormalities in 12×12 mm OCTA images. The usefulness of the normative database was tested on two pathological groups: one with diabetic retinopathy; the other with glaucoma.

Identifiers

PMID34457397
PMCPMC8367249
OpenAlexW3160252910

What OpenQuestion holds

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Registered trials

None linked

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.