Evidence map›Paper›PMID 40052848›Full record

ReviewTranslational vision science & technology2025

Advances in OCT Angiography.

Tristan T Hormel, David Huang, Yali Jia

Abstract readReview
In one paragraph

Review in Translational vision science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Observational
  3. Review
  4. Article
  5. Prostaglandin EFrontiers in medicine · 2026
    Review
  6. Article
  7. 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

3 authors.

Tristan T HormelCasey Eye Institute, Oregon Health and Science University, Portland, OR, USA.
David HuangCasey Eye Institute, Oregon Health and Science University, Portland, OR, USA.
Yali JiaCasey Eye Institute, Oregon Health and Science University, Portland, OR, USA.

Funding

Oregon Clinical and Translational Research Institute - The National COVID Cohort Collaborative (N3C)UL1TR002369 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI Cynthia D Morris, Christopher G. Slatore · 2017 to 2026
$78.4M
Proteomics CoreP30EY010572 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI TED S ACOTT · 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
OCTA Precursors of Vision-Threatening Complications of Diabetic RetinopathyR01EY035410 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Thomas Hwang, Yali Jia · 2023 to 2026
$2.5M
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
Advancing visible-light OCT in oxygen-induced retinopathyR01EY036429 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI John Peter Campbell, Yali Jia · 2024 to 2026
$2.0M
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
Visible-light OCT angiography, velocimetry, and oximetry for characterizing retinal vascular alterations in glaucomaR01EY031394 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI JIA, YALI, MORRISON, JOHN C · 2020 to 2022
$1.6M
A diagnostic platform for diabetic retinopathy based on OCT angiography and artificial intelligenceR43EY036781 · NEI · IFOCUS IMAGING LLC · PI HORMEL, TRISTAN, JIA, YALI · 2024 to 2024
$306k
NCATS NIH HHS UL1 TR002369NEI NIH HHS P30 EY010572NEI NIH HHS R01 EY024544NEI NIH HHS R01 EY027833NEI NIH HHS R01 EY031394NEI NIH HHS R01 EY035410NEI NIH HHS R01 EY036429NEI NIH HHS R43 EY036781NEI NIH HHS T32 EY023211
6 · The paper itself

Abstract

Optical coherence tomography angiography (OCTA) is a signal processing and scan acquisition approach that enables OCT devices to clearly identify vascular tissue down to the capillary scale. As originally proposed, OCTA included several important limitations, including small fields of view relative to allied imaging modalities and the presence of confounding artifacts. New approaches, including both hardware and software, are solving these problems and can now produce high-quality angiograms from tissue throughout the retina and choroid. Image analysis tools have also improved, enabling OCTA data to be quantified at high precision and used to diagnose disease using deep learning models. This review highlights these advances and trends in OCTA technology, focusing on work produced since 2020.

Indexed as

AngiographyFluorescein AngiographyRetinal VesselsTomography, Optical CoherenceHumansImage Processing, Computer-Assisted

Identifiers

PMID40052848
PMCPMC11905608

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.