Evidence map›Paper›PMID 29715365›Full record

ArticleInvestigative ophthalmology & visual science2018

Evaluation of Automatically Quantified Foveal Avascular Zone Metrics for Diagnosis of Diabetic Retinopathy Using Optical Coherence Tomography Angiography.

Yansha Lu, Joseph M Simonett, Jie Wang, Miao Zhang, Thomas Hwang, Ahmed M Hagag, David Huang, Dengwang Li, Yali Jia

Open access · goldAbstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 1 pooled it
12.9field-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

70 citing papers in PubMed, 1 synthesis or guideline pooled it, 128 citations in OpenAlex.

  1. Pooled it
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  4. Individualized FAZ morphometry and standardized peri-FAZ vascular density: a pilot AngioVue OCTA study in diabetic retinopathy.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
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  8. [Optical coherence tomography angiography image segmentation based on multi-scale dilated convolution and dual attention network].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
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10 more citing papers are in PubMed but not listed here.

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

9 authors at 3 institutions in 2 countries.

Yansha LuCasey Eye Institute, Oregon Health & Science University, Portland, Oregon, United States.
Joseph M SimonettCasey Eye Institute, Oregon Health & Science University, Portland, Oregon, United States.
Jie WangCasey Eye Institute, Oregon Health & Science University, Portland, Oregon, United States.
Miao ZhangCasey Eye Institute, Oregon Health & Science University, Portland, Oregon, United States.
Thomas HwangCasey Eye Institute, Oregon Health & Science University, Portland, Oregon, United States.
Ahmed M HagagCasey Eye Institute, Oregon Health & Science University, Portland, Oregon, United States.
David HuangCasey Eye Institute, Oregon Health & Science University, Portland, Oregon, United States.
Dengwang LiShandong Province Key Laboratory of Medical Physics and Image Processing Technology, Institute of Biomedical Sciences, School of Physics and Electronics, Shandong Normal University, Jinan, China.
Yali JiaCasey Eye Institute, Oregon Health & Science University, Portland, Oregon, United States.
Oregon Health & Science University · USShandong Normal University · CNInternational Foundation for Entrepreneurship, Science, and Technology · US

Funding

Proteomics CoreP30EY010572 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Kate E Keller · 1995 to 2026
$19.4M
OCT Angiography for Neovascular Age-related Macular DegenerationR01EY024544 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Steven T Bailey, Yali Jia · 2014 to 2026
$6.2M
Wide-field and projection-resolved optical coherence tomography angiography in diabetic retinopathyR01EY027833 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI HWANG, THOMAS, JIA, YALI · 2017 to 2020
$1.8M
Functional Optical Coherence Tomography-derived Biomarkers for Diabetic RetinopathyDP3DK104397 · NIDDK · OREGON HEALTH & SCIENCE UNIVERSITY · PI JIA, YALI, WILSON, DAVID J · 2014 to 2014
$1.0M
NEI NIH HHS P30 EY010572NEI NIH HHS R01 EY024544NEI NIH HHS R01 EY027833NIDDK NIH HHS DP3 DK104397
6 · The paper itself

Abstract

Purpose: To describe an automated algorithm to quantify the foveal avascular zone (FAZ), using optical coherence tomography angiography (OCTA), and to compare its performance for diagnosis of diabetic retinopathy (DR) and association with best-corrected visual acuity (BCVA) to that of extrafoveal avascular area (EAA). Methods: We obtained 3 × 3-mm macular OCTA scans in diabetic patients with various levels of DR and healthy controls. An algorithm based on a generalized gradient vector flow (GGVF) snake model detected the FAZ, and metrics assessing FAZ size and irregularity were calculated. We compared the automated FAZ segmentation to manual delineation and tested the within-visit repeatability of FAZ metrics. The correlations of two conventional FAZ metrics, two novel FAZ metrics, and EAA with DR severity and BCVA, as determined by Early Treatment Diabetic Retinopathy Study (ETDRS) charts, were assessed. Results: Sixty-six eyes from 66 diabetic patients and 19 control eyes from 19 healthy participants were included. The agreement between manual and automated FAZ delineation had a Jaccard index > 0.82, and the repeatability of automated FAZ detection was excellent in eyes at all levels of DR severity. FAZ metrics that incorporated both FAZ size and shape irregularity had the strongest correlation with clinical DR grade and BCVA. Of all the tested OCTA metrics, EAA had the greatest sensitivity in differentiating diabetic eyes without clinical evidence of retinopathy, mild to moderate nonproliferative DR (NPDR), and severe NPDR to proliferative DR from healthy controls. Conclusions: The GGVF snake algorithm tested in this study can accurately and reliably detect the FAZ, using OCTA data at all DR severity grades, and may be used to obtain clinically useful information from OCTA data regarding macular ischemia in patients with diabetes. While FAZ metrics can provide clinically useful information regarding macular ischemia, and possibly visual acuity potential, EAA measurements may be a better biomarker for DR.

Indexed as

AlgorithmsVisual AcuityAdultDiabetic RetinopathyFemaleFluorescein AngiographyFovea CentralisFundus OculiHumansMaleMiddle AgedRetinal VesselsTomography, Optical Coherence

Identifiers

PMID29715365
PMCPMC5958306
OpenAlexW2799708266

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.