Evidence map›Paper›PMID 35611616›Full record

ArticleVeterinary ophthalmology2022

Outer retinal thickness and visibility of the choriocapillaris in four distinct retinal regions imaged with spectral domain optical coherence tomography in dogs and cats.

Elisa Mischi, Petr Soukup, Christine D Harman, Kazuya Oikawa, Malwina E Kowalska, Sonja Hartnack, Gillian J McLellan, András M Komáromy, Simon A Pot

Abstract read
In one paragraph

Article in Veterinary ophthalmology, 2022. 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
–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

4 citing papers in PubMed.

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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

9 authors.

Elisa MischiOphthalmology Section, Equine Department, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-2852-897X
Petr SoukupOphthalmology Section, Equine Department, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0001-6125-8580
Christine D HarmanDepartment of Small Animal Clinical Sciences, College of Veterinary Medicine, Michigan State University, East Lansing, Michigan, USA.
Kazuya OikawaDepartment of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Malwina E KowalskaOphthalmology Section, Equine Department, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland.
Sonja HartnackSection of Epidemiology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland.
Gillian J McLellanDepartment of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.
András M KomáromyDepartment of Small Animal Clinical Sciences, College of Veterinary Medicine, Michigan State University, East Lansing, Michigan, USA.ORCID https://orcid.org/0000-0002-8845-0588
Simon A PotOphthalmology Section, Equine Department, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-8782-7144

Funding

UW Vision Research Core - Administrative CoreP30EY016665 · NEI · UNIVERSITY OF WISCONSIN-MADISON · PI Donna M Peters · 2005 to 2026
$12.6M
Therapy development for open-angle glaucomasR01EY025752 · NEI · MICHIGAN STATE UNIVERSITY · PI KOMAROMY, ANDRAS · 2017 to 2021
$3.2M
Therapeutic Inhibition of Optic Nerve Head Gliosis and Fibrosis in GlaucomaR01EY027396 · NEI · UNIVERSITY OF WISCONSIN-MADISON · PI MCLELLAN, GILLIAN JANE · 2017 to 2021
$2.0M
Spectral domain optical coherence tomography instrument for multimodal imagingS10OD018221 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI MCLELLAN, GILLIAN JANE · 2014 to 2014
$210k
National Institutes of Health (NIH) R01EY025752NEI NIH HHS P30 EY016665NEI NIH HHS R01 EY025752NEI NIH HHS R01 EY027396NIH HHS S10 OD018221ODCDC CDC HHS S10 OD018221WOA Institution: Universitat Zurich
6 · The paper itself

Abstract

purposeTo evaluate the outer retinal band thickness and choriocapillaris (CC) visibility in four distinct retinal regions in dogs and cats imaged with spectral domain optical coherence tomography (SD-OCT). To attempt delineation of a fovea-like region in canine and feline SD-OCT scans, aided by the identification of outer retinal thickness differences between retinal regions.

methodsSpectralis® HRA + OCT SD-OCT scans from healthy, anesthetized dogs (n = 10) and cats (n = 12) were analyzed. Scanlines on which the CC was identifiable were counted and CC visibility was scored. Outer nuclear layer (ONL) thickness and the distances from external limiting membrane (ELM) to retinal pigment epithelium/Bruch's membrane complex (RPE/BM) and ELM to CC were measured in the area centralis (AC), a visually identified fovea-like region, and in regions superior and inferior to the optic nerve head (ONH). Measurements were analyzed using a multilevel regression.

resultsThe CC was visible in over 90% of scanlines from dogs and cats. The ONL was consistently thinnest in the fovea-like region. The outer retina (ELM-RPE and ELM-CC) was thickest within the AC compared with superior and inferior to the ONH in dogs and cats (p < .001 for all comparisons).

conclusionsThe CC appears a valid, albeit less than ideal outer retinal boundary marker in tapetal species. The AC can be objectively differentiated from the surrounding retina on SD-OCT images of dogs and cats; a fovea-like region was identified in dogs and its presence was suggested in cats. These findings allow targeted imaging and image evaluation of these regions of retinal specialization.

Indexed as

Cat DiseasesDog DiseasesAnimalsCatsChoroidDogsRetinaTomography, Optical Coherencearea centraliscatchoriocapillarisdogouter retinaSD-OCT

Identifiers

PMID35611616
PMCPMC9246961

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.