Evidence map›Paper›PMID 30944521›Full record

ArticleJournal of experimental neuroscience2019

Scattering-Angle-Resolved Optical Coherence Tomography of a Hypoxic Mouse Retina Model.

Michael R Gardner, Ayesha S Rahman, Thomas E Milner, Henry G Rylander

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

Article in Journal of experimental neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

4 authors at 2 institutions in 2 countries.

Michael R GardnerDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.ORCID https://orcid.org/0000-0002-2308-0707
Ayesha S RahmanDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
Thomas E MilnerDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
Henry G RylanderDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
The University of Texas at Austin · USUniversity of Bahrain · BH

Funding

Comprehensive Training Program in Imaging Science and InformaticsT32EB007507 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI MARKEY, MIA K, RYLANDER, HENRY GRADY · 2009 to 2024
$2.7M
NIBIB NIH HHS T32 EB007507
6 · The paper itself

Abstract

Several studies have noted a correlation between retinal degeneration and traumatic encephalopathy (TE) making the retina a leading candidate for detection and assessment. Scattering-angle-resolved optical coherence tomography (SAR-OCT) is a candidate imaging modality to detect sub-resolution changes in retinal microstructure. SAR-OCT images of murine retinas that experience a hypoxic insult-euthanasia by isoflurane overdose-are presented. A total of 4 SAR-OCT measurement parameters are reported in 6 longitudinal experiments: blood flow volume fraction, total retinal thickness, reflectance index, and scattering angle. As each mouse expires, blood flow volume fraction decreases, total retinal thickness increases, reflectance index decreases, and scattering angle diversity increases. Contribution of the retinal vasculature to scattering angle diversity is discussed. Results of this study suggest the utility of SAR-OCT to measure TE using scattering angle diversity contrast in the retina.

Indexed as

angle-resolved imaginghypoxiamouseOptical coherence tomographyretinal imaging

Identifiers

PMID30944521
PMCPMC6440039
OpenAlexW2933351449

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.