Evidence map›Paper›PMID 38273321›Full record

ArticleInternational journal of retina and vitreous2024

Retinal capillary perfusion heterogeneity in diabetic retinopathy detected by optical coherence tomography angiography.

Po Hsiang Shawn Yuan, Arman Athwal, Mena Shalaby, Andrew Mehnert, Dao-Yi Yu, Rony C Preti, Marinko Sarunic, Eduardo V Navajas

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

Article in International journal of retina and vitreous, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 5 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

8 authors at 4 institutions in 4 countries.

Po Hsiang Shawn Yuan *Department of Ophthalmology and Visual Sciences, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0003-1009-7419
Arman Athwal *School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada.
Mena ShalabySchool of Engineering Science, Simon Fraser University, Burnaby, BC, Canada.
Andrew MehnertCentre for Ophthalmology and Visual Science, University of Western Australia, Perth, Australia.
Dao-Yi YuCentre for Ophthalmology and Visual Science, University of Western Australia, Perth, Australia.
Rony C PretiDepartment of Ophthalmology, University of Sao Paulo, Sau Paulo, Brazil.
Marinko SarunicSchool of Engineering Science, Simon Fraser University, Burnaby, BC, Canada.
Eduardo V NavajasDepartment of Ophthalmology and Visual Sciences, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada. edunavajas@gmail.com.
Simon Fraser University · CALions Eye Institute · AUUniversity of British Columbia · CAUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic retinopathy (DR) is a leading cause of blindness and involves retinal capillary damage, microaneurysms, and altered blood flow regulation. Optical coherence tomography angiography (OCTA) is a non-invasive way of visualizing retinal vasculature but has not been used extensively to study blood flow heterogeneity. The purpose of this study is to detect and quantify blood flow heterogeneity utilizing en-face swept source OCTA in patients with DR.

methodsThis is a prospective clinical study which examined patients with either type 1 or 2 diabetes mellitus. Each included eye was graded clinically as no DR, mild DR, or moderate-severe DR. Ten consecutive en face 6 × 6 mm foveal SS-OCTA images were obtained from each eye using a PLEX Elite 9000 (Zeiss Meditec, Dublin, CA). Built-in fixation-tracking, follow-up functions were utilized to reduce motion artifacts and ensure same location imaging in sequential frames. Images of the superficial and deep vascular complexes (SVC and DVC) were arranged in temporal stacks of 10 and registered to a reference frame for segmentation using a deep neural network. The vessel segmentation was then masked onto each stack to calculate the pixel intensity coefficient of variance (PICoV) and map the spatiotemporal perfusion heterogeneity of each stack.

resultsTwenty-nine eyes were included: 7 controls, 7 diabetics with no DR, 8 mild DR, and 7 moderate-severe DR. The PICoV correlated significantly and positively with DR severity. In patients with DR, the perfusion heterogeneity was higher in the temporal half of the macula, particularly in areas of capillary dropout. PICoV also correlates as expected with the established OCTA metrics of perfusion density and vessel density.

conclusionPICoV is a novel way to analyze OCTA imaging and quantify perfusion heterogeneity. Retinal capillary perfusion heterogeneity in both the SVC and DVC increased with DR severity. This may be related to the loss of retinal capillary perfusion autoregulation in diabetic retinopathy.

Indexed as

Diabetic retinopathyOptical coherence tomography angiography (OCTA)Perfusion heterogeneityRetinal imagingRetinal perfusionSegmentation

Identifiers

PMID38273321
PMCPMC10809479
OpenAlexW3108453892

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.