Evidence map›Paper›PMID 26325417›Full record

ArticleInvestigative ophthalmology & visual science2015

Mapping the 3D Connectivity of the Rat Inner Retinal Vascular Network Using OCT Angiography.

Conor Leahy, Harsha Radhakrishnan, Geoffrey Weiner, Jeffrey L Goldberg, Vivek J Srinivasan

Open access · bronzeAbstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.1field-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

24 citing papers in PubMed, 37 citations in OpenAlex.

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  12. Imaging oxygenation of retinal capillaries with depth resolution.Proceedings of the National Academy of Sciences of the United States of America · 2020
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  20. [Optical coherence tomography angiography (OCT‑A) in rats].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2017
    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

5 authors at 3 institutions in 1 country.

Conor LeahyDepartment of Biomedical Engineering, University of California Davis, Davis, California, United States.
Harsha RadhakrishnanDepartment of Biomedical Engineering, University of California Davis, Davis, California, United States.
Geoffrey WeinerShiley Eye Institute, University of California San Diego, San Diego, California, United States.
Jeffrey L GoldbergShiley Eye Institute, University of California San Diego, San Diego, California, United States.
Vivek J SrinivasanDepartment of Biomedical Engineering, University of California Davis, Davis, California, United States 3Department of Ophthalmology and Vision Science, University of California Davis School of Medicine, Sacramento, California, United States.
University of California, Davis · USSmith-Kettlewell Eye Research Institute · USUniversity of California, San Diego · US

Funding

UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 1991 to 2020
$28.3M
Imaging Neuronal and Capillary Dysfunction Deep in the Rodent Brain in vivo Using 1700 NM Optical Coherence Microscopy and Tracer-Based KineticsR01NS094681 · NINDS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SRINIVASAN, VIVEK JAY · 2015 to 2019
$1.6M
Functional Optical Coherence Tomography for Imaging of Cortical HemodynamicsR00NS067050 · NINDS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SRINIVASAN, VIVEK JAY · 2012 to 2014
$736k
NIA NIH HHS P30 AG010129NIA NIH HHS P30AG010129NINDS NIH HHS R00 NS067050NINDS NIH HHS R00-NS067050NINDS NIH HHS R01 NS094681NINDS NIH HHS R01NS094681
6 · The paper itself

Abstract

purposeThe purpose of this study is to demonstrate three-dimensional (3D) graphing based on optical coherence tomography (OCT) angiography for characterization of the inner retinal vascular architecture and determination of its topologic principles.

methodsRat eyes (N = 3) were imaged with a 1300-nm spectral/Fourier domain OCT microscope. A topologic model of the inner retinal vascular network was obtained from OCT angiography data using a combination of automated and manually-guided image processing techniques. Using a resistive network model, with experimentally-quantified flow in major retinal vessels near the optic nerve head as boundary conditions, theoretical changes in the distribution of flow induced by vessel dilations were inferred.

resultsA topologically-representative 3D vectorized graph of the inner retinal vasculature, derived from OCT angiography data, is presented. The laminar and compartmental connectivity of the vasculature are characterized. In contrast to sparse connectivity between the superficial vitreal vasculature and capillary plexuses of the inner retina, connectivity between the two capillary plexus layers is dense. Simulated dilation of single arterioles is shown to produce both localized and lamina-specific changes in blood flow, while dilation of capillaries in a given retinal vascular layer is shown to lead to increased total flow in that layer.

conclusionsOur graphing and modeling data suggest that vascular architecture enables both local and lamina-specific control of blood flow in the inner retina. The imaging, graph analysis, and modeling approach presented here will help provide a detailed characterization of vascular changes in a variety of retinal diseases, both in experimental preclinical models and human subjects.

Indexed as

Fluorescein AngiographyAnimalsCapillariesImaging, Three-DimensionalOptic DiskRatsRegional Blood FlowRetinal VesselsTomography, Optical Coherence

Identifiers

PMID26325417
PMCPMC4559217
OpenAlexW1909185046

What OpenQuestion holds

Textmetadata
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.