Evidence map›Paper›PMID 31149381›Full record

ArticleBiomedical optics express2019

Fully automated geometric feature analysis in optical coherence tomography angiography for objective classification of diabetic retinopathy.

David Le, Minhaj Alam, Bernadette A Miao, Jennifer I Lim, Xincheng Yao

Abstract read
In one paragraph

Article in Biomedical optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Quantitative Characterization of Retinal Features in Translated OCTA.medRxiv : the preprint server for health sciences · 2024
    Article
  5. Quantitative characterization of retinal features in translated OCTA.Experimental biology and medicine (Maywood, N.J.) · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Transfer Learning for Automated OCTA Detection of Diabetic Retinopathy.Translational vision science & technology · 2020
    Article
  12. Review
  13. Novel biomarker of sphericity and cylindricity indices in volume-rendering optical coherence tomography angiography in normal and diabetic eyes: a preliminary study.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2020
    Article
  14. Quantitative optical coherence tomography angiography: A review.Experimental biology and medicine (Maywood, N.J.) · 2020
    Review
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

5 authors.

David LeDepartment of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA.
Minhaj AlamDepartment of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA.
Bernadette A MiaoBenet Academy, Lisle, IL, 60532, USA.
Jennifer I LimDepartment of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, IL 60612, USA.
Xincheng YaoDepartment of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA.

Funding

Translational Core for Therapeutic and Diagnostic DevelopmentP30EY001792 · NEI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MCANANY, JAMES JASON · 1985 to 2025
$14.8M
Functional imaging of retinal photoreceptorsR01EY023522 · NEI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI YAO, XINCHENG · 2014 to 2024
$3.5M
Super-resolution ophthalmoscopy for in vivo retinal imagingR01EY024628 · NEI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI YAO, XINCHENG · 2014 to 2016
$1.1M
NEI NIH HHS P30 EY001792NEI NIH HHS R01 EY023522NEI NIH HHS R01 EY024628
6 · The paper itself

Abstract

This study is to establish quantitative features of vascular geometry in optical coherence tomography angiography (OCTA) and validate them for the objective classification of diabetic retinopathy (DR). Six geometric features, including total vessel branching angle (VBA: θ), child branching angles (CBAs: α1 and α2), vessel branching coefficient (VBC), and children-to-parent vessel width ratios (VWR1 and VWR2), were automatically derived from each vessel branch in OCTA. Comparative analysis of heathy control, diabetes with no DR (NoDR), and non-proliferative DR (NPDR) was conducted. Our study reveals four quantitative OCTA features to produce robust DR detection and staging classification: (ANOVA, P<0.05), VBA, CBA1, VBC, and VWR1.

Identifiers

PMID31149381
PMCPMC6524582

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.