Evidence map›Paper›PMID 27388049›Full record

ArticleInvestigative ophthalmology & visual science2016

Quantitative Assessment of Anterior Segment Inflammation in a Rat Model of Uveitis Using Spectral-Domain Optical Coherence Tomography.

Kathryn L Pepple, Woo June Choi, Leslie Wilson, Russell N Van Gelder, Ruikang K Wang

Open access · goldAbstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Review
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  4. Peptide Inhibitors of MARCKS Suppress Endotoxin Induced Uveitis in Rats.Journal of ocular pharmacology and therapeutics : the official journal of the Association for Ocular Pharmacology and Therapeutics · 2022
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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 1 institution in 1 country.

Kathryn L PeppleDepartment of Ophthalmology University of Washington, Seattle, Washington, United States.
Woo June ChoiDepartment of Bioengineering, University of Washington, Seattle, Washington, United States.
Leslie WilsonDepartment of Ophthalmology University of Washington, Seattle, Washington, United States.
Russell N Van GelderDepartment of Ophthalmology University of Washington, Seattle, Washington, United States 3Department of Biological Structure, University of Washington, Seattle, Washington, United States 4Department of Pathology, University of Washington, Seattle, Washing.
Ruikang K WangDepartment of Bioengineering, University of Washington, Seattle, Washington, United States.
University of Washington · US

Funding

Vision Research CoreP30EY001730 · NEI · UNIVERSITY OF WASHINGTON · PI JAMES Bryant HURLEY · 1985 to 2026
$23.5M
NON-INVASIVE REAL-TIME LABEL-FREE 3D IMAGING OF RETINAL MICROCIRCULATIONR01EY024158 · NEI · UNIVERSITY OF WASHINGTON · PI WANG, RUIKANG · 2014 to 2017
$1.7M
The role of the innate and adaptive immune system in a novel model of uveitK08EY023998 · NEI · UNIVERSITY OF WASHINGTON · PI PEPPLE, KATHRYN · 2014 to 2018
$1.1M
NEI NIH HHS K08 EY023998NEI NIH HHS P30 EY001730NEI NIH HHS R01 EY024158
6 · The paper itself

Abstract

purposeTo develop anterior segment spectral-domain optical coherence tomography (SD-OCT) and quantitative image analysis for use in experimental uveitis in rats.

methodsAcute anterior uveitis was generated in Lewis rats. A spectral domain anterior segment OCT system was used to image the anterior chamber (AC) and ciliary body at baseline and during peak inflammation 2 days later. Customized MatLab image analysis algorithms were developed to segment the AC, count AC cells, calculate central corneal thickness (CCT), segment the ciliary body and zonules, and quantify the level of ciliary body inflammation with the ciliary body index (CBI). Images obtained at baseline and during peak inflammation were compared. Finally, longitudinal imaging and image analysis was performed over the 2-week course of inflammation.

resultsSpectral-domain optical coherence tomography identifies structural features of inflammation. Anterior chamber cell counts at peak inflammation obtained by automated image analysis and human grading were highly correlated (r = 0.961), and correlated well with the histologic score of inflammation (r = 0.895). Inflamed eyes showed a significant increase in average CCT (27 μm, P = 0.02) and an increase in average CBI (P < 0.0001). Longitudinal imaging and quantitative image analysis identified a significant change in AC cell and CBI on day 2 with spontaneous resolution of inflammation by day 14.

conclusionsSpectral-domain optical coherence tomography provides high-resolution images of the structural changes associated with anterior uveitis in rats. Anterior chamber cell count and CBI determined by semi-automated image analysis strongly correlates with inflammation, and can be used to quantify inflammation longitudinally in single animals.

Indexed as

AnimalsAnterior ChamberCell CountCiliary BodyCorneaDisease Models, AnimalFemaleRats, Inbred LewTomography, Optical CoherenceUveitis

Identifiers

PMID27388049
PMCPMC4942250
OpenAlexW2469741152

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.