Evidence map›Paper›PMID 31868851›Full record

ArticleCornea2020

Application of Corneal Optical Coherence Tomography Angiography for Assessment of Vessel Depth in Corneal Neovascularization.

Afshan Nanji, Travis Redd, Winston Chamberlain, Julie M Schallhorn, Siyu Chen, Stefan Ploner, Andreas Maier, James G Fujimoto, Yali Jia, David Huang and 1 more

Open access · greenAbstract read
In one paragraph

Article in Cornea, 2020. 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
1.4field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Observational
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
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

11 authors at 4 institutions in 2 countries.

Afshan NanjiCasey Eye Institute, Department of Ophthalmology, Oregon Health & Science University, Portland, OR.
Travis ReddCasey Eye Institute, Department of Ophthalmology, Oregon Health & Science University, Portland, OR.
Winston ChamberlainCasey Eye Institute, Department of Ophthalmology, Oregon Health & Science University, Portland, OR.
Julie M SchallhornDepartment of Ophthalmology, University of California San Francisco, San Francisco, CA.
Siyu ChenDepartment of Electrical Engineering & Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA; and.
Stefan PlonerDepartment of Electrical Engineering & Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA; and.
Andreas MaierPattern Recognition Lab and SAOT, University Erlangen Nuremberg, Erlangen, Germany.
James G FujimotoDepartment of Electrical Engineering & Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA; and.
Yali JiaCasey Eye Institute, Department of Ophthalmology, Oregon Health & Science University, Portland, OR.
David HuangCasey Eye Institute, Department of Ophthalmology, Oregon Health & Science University, Portland, OR.
Yan LiCasey Eye Institute, Department of Ophthalmology, Oregon Health & Science University, Portland, OR.
Oregon Health & Science University · USFriedrich-Alexander-Universität Erlangen-Nürnberg · DEMassachusetts Institute of Technology · USUniversity of California, San Francisco · US

Funding

Proteomics CoreP30EY010572 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Kate E Keller · 1995 to 2026
$19.4M
Novel Optical Diagnostics with Optical Coherence TomographyR01EY011289 · NEI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI JAMES G FUJIMOTO · 1995 to 2026
$9.5M
OCT Angiography for Neovascular Age-related Macular DegenerationR01EY024544 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Steven T Bailey, Yali Jia · 2014 to 2026
$6.2M
Optical Coherence Tomography-Aided Differential Diagnosis and Treatment of Irregular CorneasR01EY029023 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Yan Li · 2018 to 2026
$3.0M
Applications of ultrahigh-speed long-range wide-field OCT in anterior eye diseasesR01EY028755 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI HUANG, DAVID · 2018 to 2022
$2.5M
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 EY011289NEI NIH HHS R01 EY024544NEI NIH HHS R01 EY027833NEI NIH HHS R01 EY028755NEI NIH HHS R01 EY029023NIDDK NIH HHS DP3 DK104397
6 · The paper itself

Abstract

purposeTo map and measure the depths of corneal neovascularization (NV) using 3-dimensional optical coherence tomography angiography (OCTA) at 2 different wavelengths.

methodsCorneal NV of varying severity, distribution, and underlying etiology was examined. Average NV depth and vessel density were measured using 840-nm spectral-domain OCTA and 1050-nm swept-source OCTA. The OCTA results were compared with clinical slit-lamp estimation of NV depth.

resultsTwelve eyes with corneal NV from 12 patients were imaged with OCTA. Clinically "superficial," "midstromal," and "deep" cases had an average vessel depth of 23%, 39%, and 66% on 1050-nm OCTA, respectively. Average vessel depth on OCTA followed a statistically significant ordinal trend according to the clinical classification of vessel depth (Jonckheere-Terpstra test, P < 0.001). In 8 cases where both 840-nm OCTA and 1050-nm OCTA were acquired, there was excellent agreement in the mean vessel depth between the 2 systems (concordance correlation coefficient = 0.94, P < 0.001). The average vessel density measured by 840-nm OCTA was higher (average 1.6-fold) than that measured by 1050-nm OCTA.

conclusionsCorneal OCTA was able to map corneal NV in 3 dimensions and measure vessel depth and density. The depth of corneal NV varied between different pathologies in a manner consistent with previous pathologic studies. The measured vessel density appeared to be affected by the interscan time, which affects blood flow velocity sensitivity, and the wavelength, which affects the ability to penetrate through opacity. These findings suggest possible clinical applications of OCTA for the diagnosis of corneal pathology and quantitative monitoring of therapeutic response in patients with corneal NV.

Indexed as

AdultAgedAged, 80 and overBlood VesselsCorneaCorneal NeovascularizationFemaleFluorescein AngiographyFundus OculiHumansMaleMiddle AgedReproducibility of ResultsSeverity of Illness IndexTomography, Optical CoherenceYoung Adult

Identifiers

PMID31868851
PMCPMC7179392
OpenAlexW2997399148

What OpenQuestion holds

Textmetadata
LicenceTDM
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.