Evidence map›Paper›PMID 34813614›Full record

ArticlePloS one2021

Using ultra-widefield red channel images to improve the detection of ischemic central retinal vein occlusion.

Akinori Sato, Ryo Asaoka, Shin Tanaka, Koichi Nagura, Yui Tanaka, Rei Arasaki, Kazuyoshi Okawa, Shohei Kitahata, Kentaro Nakamura, Shouko Ikeda and 4 more

Open access · goldAbstract read
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

3 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

14 authors at 2 institutions in 1 country.

Akinori SatoDepartment of Ophthalmology and Micro-Technology, Yokohama City University, Kanagawa, Japan.
Ryo AsaokaDepartment of Ophthalmology, Seirei Hamamatsu General Hospital, Shizuoka, Hamamatsu, Japan.
Shin TanakaDepartment of Ophthalmology and Micro-Technology, Yokohama City University, Kanagawa, Japan.
Koichi NaguraDepartment of Ophthalmology and Micro-Technology, Yokohama City University, Kanagawa, Japan.
Yui TanakaDepartment of Ophthalmology and Micro-Technology, Yokohama City University, Kanagawa, Japan.
Rei ArasakiDepartment of Ophthalmology and Micro-Technology, Yokohama City University, Kanagawa, Japan.
Kazuyoshi OkawaDepartment of Ophthalmology and Micro-Technology, Yokohama City University, Kanagawa, Japan.
Shohei KitahataDepartment of Ophthalmology and Micro-Technology, Yokohama City University, Kanagawa, Japan.
Kentaro NakamuraDepartment of Ophthalmology and Micro-Technology, Yokohama City University, Kanagawa, Japan.
Shouko IkedaDepartment of Ophthalmology and Micro-Technology, Yokohama City University, Kanagawa, Japan.
Tatsuya InoueDepartment of Ophthalmology and Micro-Technology, Yokohama City University, Kanagawa, Japan.ORCID 0000-0002-2481-0222
Yasuo YanagiDepartment of Ophthalmology and Micro-Technology, Yokohama City University, Kanagawa, Japan.
Maiko Maruyama-InoueDepartment of Ophthalmology and Micro-Technology, Yokohama City University, Kanagawa, Japan.
Kazuaki KadonosonoDepartment of Ophthalmology and Micro-Technology, Yokohama City University, Kanagawa, Japan.
Yokohama City University · JPSeirei Christopher University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo examine the usefulness of red channel fundus imaging to detect the ischemic status in eyes with central retinal vein occlusion (CRVO).

methodsUltra-widefield (UWF) fundus images were obtained from 42 eyes with CRVO. Twenty-one eyes were ischemic, and 21 eyes were non-ischemic. Rubeosis was found in 11 ischemic eyes. UWF images were split into red and green channels using ImageJ software. Both the color and red channel images were used to predict the presence or absence of ischemia when examined by masked graders. The sensitivity and specificity of UWF imagings for the detection of ischemia were calculated in Group A (total 42 eyes), Group B (32 eyes excluding non-rubeotic ischemic CRVO) and Group C (31 eyes excluding rubeotic ischemic CRVO), respectively. Moreover, a linear mixed model was conducted to investigate the relationship between the type of images and the accuracy of prediction in each group.

resultsNo significant difference in the sensitivity of color fundus imaging was seen between Group A and Group B. By contrast, a significant difference in the sensitivity of red channel imaging was seen between Group A and Group B (p = 0.031). The accuracies of the predictions were not associated with the type of image in Group A and Group B, but were significantly associated in Group C (p = 0.026).

conclusionsUWF red channel imaging enabled more accurate detection of the ischemic status, compared with color fundus images, especially in non-rubeotic CRVO eyes.

Indexed as

Fundus OculiAgedAged, 80 and overDiagnostic Techniques, OphthalmologicalFemaleHumansIschemiaMaleMiddle AgedOptical ImagingRetinal Vein OcclusionRetrospective Studies

Identifiers

PMID34813614
PMCPMC8610275
OpenAlexW3216567257

What OpenQuestion holds

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LicenceCC BY
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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.