Evidence map›Paper›PMID 34679094›Full record

ArticlePloS one2021

Impact of image averaging on vessel detection using optical coherence tomography angiography in eyes with macular oedema and in healthy eyes.

Hugo Le Boité, Mardoche Chetrit, Ali Erginay, Sophie Bonnin, Carlo Lavia, Ramin Tadayoni, Aude Couturier

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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 at 1 institution in 1 country.

Hugo Le BoitéOphthalmology Department, Université de Paris, AP-HP, Hôpital Lariboisière, Paris, France.ORCID 0000-0002-2502-4119
Mardoche ChetritOphthalmology Department, Université de Paris, AP-HP, Hôpital Lariboisière, Paris, France.
Ali ErginayOphthalmology Department, Université de Paris, AP-HP, Hôpital Lariboisière, Paris, France.
Sophie BonninOphthalmology Department, Université de Paris, AP-HP, Hôpital Lariboisière, Paris, France.ORCID 0000-0003-2614-9412
Carlo LaviaOphthalmology Department, Université de Paris, AP-HP, Hôpital Lariboisière, Paris, France.
Ramin TadayoniOphthalmology Department, Université de Paris, AP-HP, Hôpital Lariboisière, Paris, France.
Aude CouturierOphthalmology Department, Université de Paris, AP-HP, Hôpital Lariboisière, Paris, France.ORCID 0000-0001-8549-7455
Université Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the repeatability of multiple automatic vessel density (VD) measurements and the effect of image averaging on vessel detection by optical coherence tomography angiography (OCTA).

methodsAn observational study was conducted in a series of healthy volunteers and patients with macular oedema. Five sequential OCTA images were acquired for each eye using the OptoVue HD device. The effect of the averaging of the 5 acquisitions on vessel detection was analysed quantitatively using a pixel-by-pixel automated analysis. In addition, two independent retina experts qualitatively assessed the change in vessel detection in averaged images segmented in 9 boxes and compared to the first non-averaged image.

resultsThe automatic VD measurement in OCTA images showed a good repeatability with an overall mean intra-class correlation coefficient (ICC) of 0.924. The mean ICC was higher in healthy eyes compared to eyes with macular oedema (0.877 versus 0.960; p < 0.001) and in the superficial vascular plexus versus the deep vascular complex (0.967 versus 0.888; p = 0.001). The quantitative analysis of the effect of the averaging showed that averaged images had a mean gain of 790.4 pixels/box, located around or completing interruptions in the vessel walls, and a mean loss of 727.2 pixels/box. The qualitative analysis of the averaged images showed that 99.6% of boxes in the averaged images had a gain in vessel detection (i.e., vessels detected in the averaged image but not in the non-averaged image). The loss of pixels was due to a reduction in background noise and motion artifacts in all cases and no case of loss of vessel detection was observed.

conclusionThe automatic VD measurement using the OptoVue HD device showed a good repeatability in 5 acquisitions in a row setting. Averaging images increased vessel detection, and in about a third of boxes, decreased the background noise, both in healthy eyes and, in a greater proportion, in eyes with macular oedema.

Indexed as

AdultAgedBlood VesselsEyeFemaleFluorescein AngiographyHealthy VolunteersHumansMacula LuteaMacular EdemaMaleRetinaRetinal VesselsTomography, Optical CoherenceYoung Adult

Identifiers

PMID34679094
PMCPMC8535424
OpenAlexW3204982237

What OpenQuestion holds

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LicenceCC BY
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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.