Evidence map›Paper›PMID 30891364›Full record

ArticleBiomedical optics express2019

Automated detection of shadow artifacts in optical coherence tomography angiography.

Acner Camino, Yali Jia, Jeffrey Yu, Jie Wang, Liang Liu, David Huang

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 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Widefield OCT angiography.Progress in retinal and eye research · 2025
    Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Optical coherence tomography angiography in diabetic retinopathy.Progress in retinal and eye research · 2023
    Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Artificial intelligence in OCT angiography.Progress in retinal and eye research · 2021
    Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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

6 authors.

Acner CaminoCasey Eye Institute, Oregon Health & Science University, Portland, OR, 97239, USA.
Yali JiaCasey Eye Institute, Oregon Health & Science University, Portland, OR, 97239, USA.
Jeffrey YuCasey Eye Institute, Oregon Health & Science University, Portland, OR, 97239, USA.
Jie WangCasey Eye Institute, Oregon Health & Science University, Portland, OR, 97239, USA.
Liang LiuCasey Eye Institute, Oregon Health & Science University, Portland, OR, 97239, USA.
David HuangCasey Eye Institute, Oregon Health & Science University, Portland, OR, 97239, USA.

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
Translational Vision Science Research at Oregon Health & Science UniversityT32EY023211 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Yali Jia, Kate E Keller · 2013 to 2026
$2.4M
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 R01 EY024544NEI NIH HHS R01 EY027833NEI NIH HHS T32 EY023211NIDDK NIH HHS DP3 DK104397
6 · The paper itself

Abstract

Frequently, when imaging retinal vasculature with optical coherence tomography angiography (OCTA) in diseased eyes, there are unavoidable obstacles to the propagation of light such as vitreous floaters or the pupil boundary. These obstacles can block the optical coherence tomography (OCT) beam and impede the visualization of the underlying retinal microcirculation. Detecting these shadow artifacts is especially important in the quantification of metrics that assess retinal disease progression because they might masquerade as regional perfusion loss. In this work, we present an algorithm to identify shadowed areas in OCTA of healthy subjects as well as patients with diabetic retinopathy, uveitis and age-related macular degeneration. The aim is to exclude these areas from analysis so that the overall OCTA parameters are minimally affected by shadow artifacts.

Identifiers

PMID30891364
PMCPMC6420267

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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.