Evidence map›Paper›PMID 41865048›Full record

ArticleScientific reports2026

Effect of using different fundus cameras and image resolutions on automatic measurements of retinal vascular parameters.

Pierre Cunnac, Bastien Boussat, Stephen Hogg, Martial Geiser, Tom MacGillivray, Emmanuele Trucco, Christophe Chiquet

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Pierre CunnacDepartment of Ophthalmology, Grenoble-Alpes University Hospital, Grenoble cedex 09, France.
Bastien BoussatDepartment of Public Health, University Hospital of Grenoble-Alpes, Grenoble-Alpes , France.
Stephen HoggSchool of Science and Engineering, VAMPIRE project, University of Dundee, Computing, Dundee, UK.
Martial GeiserSystem engineering institute, HES-SO, Sion, Switzerland.
Tom MacGillivrayVAMPIRE project, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Emmanuele TruccoSchool of Science and Engineering, VAMPIRE project, University of Dundee, Computing, Dundee, UK.
Christophe ChiquetDepartment of Ophthalmology, Grenoble-Alpes University Hospital, Grenoble cedex 09, France. christophe.chiquet@inserm.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Morphological measurements of retinal vessel parameters are commonly obtained from fundus images using semi-automatic software packages. Since image quality, and image processing methods are potential sources of variation of such measurements, the aim of this study was to determine quantitatively the effect of using different fundus cameras and image resolutions on measurements of retinal vascular parameters. Fifty-four digital fundus images of 27 healthy subjects were acquired using two non-mydriatic cameras, Topcon TRC NW6S and Canon CR-2. Central retinal artery and vein equivalent (CRAE, CRVE), arteriolar and venular tortuosity (TortA and TortV) and fractal dimension (FD) were calculated using VAMPIRE software. First, VAMPIRE measurements were compared between Topcon images (3008 × 2000 pixels) and Canon images after resizing manually (CR2r, 3008 × 2000 px). The effect of different resolutions was studied using Canon images at full resolution (4147 × 2764 px, 100%) and then scaled at 83.8%, 75% and 50% in JPEG format using the dedicated Canon software. When comparing images acquired by CR2r and Topcon at the same resolution, all parameters were significantly affected. When using images with different resolutions from the same camera, significant increases of CRAE and CRVE and significant decreases of FD were found for decreasing resolutions. In conclusion, vascular measurements from images from different fundus cameras or at different resolutions are not, in general, directly comparable.

Indexed as

Fundus OculiImage Processing, Computer-AssistedRetinal VesselsAdultFemaleHumansMaleSoftwareFundus photographsRetinaRetinal image analysisRetinal microvasculatureRetinal vascular measurementsRetinal vessel calibers

Identifiers

PMID41865048
PMCPMC13144359

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.