Evidence map›Paper›PMID 30665394›Full record

ArticleBMC ophthalmology2019

Agreement study between color and IR retinal images based on retinal vasculature morphological parameters.

Aqsa Ajaz, Behzad Aliahmad, Himeesh Kumar, Marc Sarossy, Dinesh K Kumar

Open access · goldAbstract read
In one paragraph

Article in BMC ophthalmology, 2019. 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
0.5field-weighted citation impact, top 33% 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, 7 citations in OpenAlex.

  1. Article
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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

5 authors at 3 institutions in 2 countries.

Aqsa AjazSchool of Engineering, RMIT University, Melbourne, Australia.
Behzad AliahmadSchool of Engineering, RMIT University, Melbourne, Australia.
Himeesh KumarDepartment of Ophthalmology, Alfred Healthcare, Melbourne, Australia.
Marc SarossySchool of Engineering, RMIT University, Melbourne, Australia.
Dinesh K KumarSchool of Engineering, RMIT University, Melbourne, Australia. dinesh@rmit.edu.au.ORCID http://orcid.org/0000-0003-3602-4023
RMIT University · AUAlfred Health · AUMIT University · MK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColor fundus photography have been extensively used to explore the link between retinal morphology changes associated with various disease i.e. Diabetic Retinopathy, Glaucoma. The development of multimodal imaging system that integrates Infrared Scanning Laser Ophthalmoscope (IR-SLO) and Optical Coherence Tomography (OCT) could help in studying these diseases at an early stage. The aim of this study was to test the agreement between the retinal vasculature parameters from the Infrared images obtained from optical coherence tomography and color fundus imaging.

methodsThe IR and Color retinal images were obtained from 16 volunteer participants and seven retinal vessel parameters, i.e. Fractal Dimension (FD), Average Angle (ABA), Total Angle Count (TAC), Tortuosity (ST), Vessel/Background ratio (VBR), Central Retinal Arteriolar Equivalent (CRAE) and Central Retinal Venular Equivalent (CRVE) were extracted from these retinal images using Retinal Image Vasculature Assessment software (RIVAS) and Integrative Vessel Analysis (IVAN).

resultsThe Bland Altman plot was used to investigate the agreement between the two modalities. The paired sample t-test was used to assess the presence of fixed bias and the slope of Least Square Regression (LSR) line for the presence of proportional bias. The paired sample t-test showed that there was no statistically significant difference between Color and IR based on retinal vessel features (all p values > 0.05). LSR also revealed no statistically significant difference in the retinal vessel features between Color and IR.

conclusionThis study has revealed that there is a fair agreement between Color and IR images based on retinal vessel features. This research has shown that it is possible to use IR images of the retina to measure the retinal vasculature parameters which has the advantage of being flash-less, can be used even if there is opacity due to cataract, and can be performed along with OCT on the same device.

Indexed as

ColorDiagnostic Techniques, OphthalmologicalAdultFemaleHumansMaleMiddle AgedPhotographyRegression AnalysisRetinal VesselsTomography, Optical CoherenceYoung AdultInfrared scanning laser ophthalmoscopeIntegrative vessel analysisOptical coherence tomographyRetinal image vasculature assessment software

Identifiers

PMID30665394
PMCPMC6341663
OpenAlexW2917559545

What OpenQuestion holds

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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.