Evidence map›Paper›PMID 34819594›Full record

ArticleScientific reports2021

2D alpha-shapes to quantify retinal microvasculature morphology and their application to proliferative diabetic retinopathy characterisation in fundus photographs.

Emma Pead, Ylenia Giarratano, Andrew J Tatham, Miguel O Bernabeu, Baljean Dhillon, Emanuele Trucco, Tom MacGillivray

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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 4 institutions in 1 country.

Emma PeadVAMPIRE Project, Scottish Collaborative Optometry-Ophthalmology Network e-Research (SCONe), Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK. epead@ed.ac.uk.
Ylenia GiarratanoCentre for Medical Informatics, Usher Institute, The University of Edinburgh, Edinburgh, UK.
Andrew J TathamVAMPIRE Project, Scottish Collaborative Optometry-Ophthalmology Network e-Research (SCONe), Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.
Miguel O BernabeuCentre for Medical Informatics, Usher Institute, The University of Edinburgh, Edinburgh, UK.
Baljean DhillonVAMPIRE Project, Scottish Collaborative Optometry-Ophthalmology Network e-Research (SCONe), Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-5993-0278
Emanuele TruccoVAMPIRE Project, CVIP, Computing (SSE), University of Dundee, Dundee, UK.ORCID 0000-0002-5055-0794
Tom MacGillivrayVAMPIRE Project, Scottish Collaborative Optometry-Ophthalmology Network e-Research (SCONe), Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-5120-0086
University of Edinburgh · GBMRC Centre for Regenerative Medicine · GBNHS Lothian · GBUniversity of Dundee · GB

Funding

British Heart FoundationChief Scientist Office
6 · The paper itself

Abstract

The use of 2D alpha-shapes (α-shapes) to quantify morphological features of the retinal microvasculature could lead to imaging biomarkers for proliferative diabetic retinopathy (PDR). We tested our approach using the MESSIDOR dataset that consists of colour fundus photographs from 547 healthy individuals, 149 with mild diabetic retinopathy (DR), 239 with moderate DR, 199 pre-PDR and 53 PDR. The skeleton (centrelines) of the automatically segmented retinal vasculature was represented as an α-shape and the proposed parameters, complexity ([Formula: see text]), spread (OpA), global shape (VS) and presence of abnormal angiogenesis (Grad

Indexed as

PhotographyDiabetic RetinopathyHumansImage Interpretation, Computer-AssistedMicrovesselsPattern Recognition, AutomatedPredictive Value of TestsReproducibility of ResultsRetinal NeovascularizationRetinal Vessels

Identifiers

PMID34819594
PMCPMC8613232
OpenAlexW3216347236

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.