Evidence map›Paper›PMID 27571015›Full record

Observational studyInvestigative ophthalmology & visual science2016

Compensation for Reflectance Variation in Vessel Density Quantification by Optical Coherence Tomography Angiography.

Simon S Gao, Yali Jia, Liang Liu, Miao Zhang, Hana L Takusagawa, John C Morrison, David Huang

Abstract readObservational Study
In one paragraph

Observational study in Investigative ophthalmology & visual science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
–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

52 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Optical coherence tomography angiography in diabetic retinopathy.Progress in retinal and eye research · 2023
    Review
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  19. Artificial intelligence in OCT angiography.Progress in retinal and eye research · 2021
    Review
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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

7 authors.

Simon S Gao
Yali Jia
Liang Liu
Miao Zhang
Hana L Takusagawa
John C Morrison
David Huang

Funding

Proteomics CoreP30EY010572 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Kate E Keller · 1995 to 2026
$19.4M
Functional and Structural Optical Coherence Tomography for GlaucomaR01EY023285 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI David Huang · 2013 to 2026
$8.8M
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
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 EY023285NEI NIH HHS R01 EY024544NEI NIH HHS T32 EY023211NIDDK NIH HHS DP3 DK104397
6 · The paper itself

Abstract

purposeTo compensate for reflectance variation when quantifying vessel density by optical coherence tomography angiography (OCTA).

methodsHealthy participants received 6×6-mm macular and 4.5×4.5-mm optic nerve head (ONH) angiography scans on a 70-kHz spectral-domain optical coherence tomography system. The split-spectrum amplitude-decorrelation angiography (SSADA) algorithm was used to compute the OCTA signal. Mean reflectance projection and maximum decorrelation projection were used to create en face OCT and OCTA images. Background OCTA noise in static tissue was evaluated in the foveal avascular zone (FAZ). Vessel density was calculated from en face retinal OCTA that was binarized according to a decorrelation threshold.

resultsThe average retinal decorrelation noise in the FAZ was linearly related to the average logarithmic-scale OCT reflectance signal. Based on this relationship, a reflectance-adjusted decorrelation threshold equation was developed to filter out 97.5% of background OCTA noise. A fixed threshold was also used for comparison. The superficial vascular complex vessel density in the macula and ONH were significantly correlated with reflectance signal strength index (SSI) using the fixed threshold. This correlation was removed by using the reflectance-adjusted threshold. Reflectance compensation reduced population variation in 25 healthy eyes from 8.5% to 4.8% (coefficient of variation) in the macula and from 6.7% to 5.4% in the peripapillary region. Within-visit repeatability also improved from 4.4% to 1.8% in the macula and from 3% to 1.7% in the peripapillary region.

conclusionsCompensating for reflectance variation resulted in more reliable vessel density quantification in OCTA.

Indexed as

AdultAgedAged, 80 and overAlgorithmsFemaleFluorescein AngiographyFollow-Up StudiesFundus OculiHealthy VolunteersHumansMaleMiddle AgedOptic DiskReproducibility of ResultsRetinal VesselsTomography, Optical Coherence

Identifiers

PMID27571015
PMCPMC5015963

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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.