Evidence map›Paper›PMID 27186534›Full record

ArticleJournal of medical signals and sensors

Quantitative Assessment of Retinopathy Using Multi-parameter Image Analysis.

Zahra Ghanian, Kevin Staniszewski, Nasim Jamali, Reyhaneh Sepehr, Shoujian Wang, Christine M Sorenson, Nader Sheibani, Mahsa Ranji

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

Article in Journal of medical signals and sensors. 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
0.9field-weighted citation impact, top 25% 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, 4 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

8 authors at 3 institutions in 1 country.

Zahra GhanianBiophotonics Laboratory, University of Wisconsin Milwaukee, Department of Electrical Engineering and Computer Science, 3200 N Cramer St., Milwaukee, WI 53211-3029, USA.
Kevin StaniszewskiBiophotonics Laboratory, University of Wisconsin Milwaukee, Department of Electrical Engineering and Computer Science, 3200 N Cramer St., Milwaukee, WI 53211-3029, USA.
Nasim JamaliDepartment of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705-2275, USA.
Reyhaneh SepehrBiophotonics Laboratory, University of Wisconsin Milwaukee, Department of Electrical Engineering and Computer Science, 3200 N Cramer St., Milwaukee, WI 53211-3029, USA.
Shoujian WangDepartment of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705-2275, USA.
Christine M SorensonDepartment of Pediatircs, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705-2275, USA; McPherson Eye research Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705-2275, USA.
Nader SheibaniDepartment of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705-2275, USA; McPherson Eye research Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705-2275, USA; Biomedical Engineering, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705-2275, USA.
Mahsa RanjiBiophotonics Laboratory, University of Wisconsin Milwaukee, Department of Electrical Engineering and Computer Science, 3200 N Cramer St., Milwaukee, WI 53211-3029, USA; McPherson Eye research Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705-2275, USA.
University of Wisconsin–Milwaukee · USUniversity of Wisconsin–Madison · USWisconsin Division of Public Health · US

Funding

UW Vision Research Core - Administrative CoreP30EY016665 · NEI · UNIVERSITY OF WISCONSIN-MADISON · PI Donna M Peters · 2005 to 2026
$12.6M
Novel Antiangiogenic Peptides for Treatment of Exudative AMDR24EY022883 · NEI · UNIVERSITY OF WISCONSIN-MADISON · PI SHEIBANI, NADER · 2013 to 2017
$6.2M
PECAM-1 and Retinopathy of PrematurityR01EY016695 · NEI · UNIVERSITY OF WISCONSIN-MADISON · PI SHEIBANI, NADER · 2007 to 2011
$1.6M
CYP1B1 and Retinopathy of PrematurityR01EY018179 · NEI · UNIVERSITY OF WISCONSIN-MADISON · PI SHEIBANI, NADER · 2009 to 2010
$713k
Thrombospondin-1 and retininal vascular homeostasisR03EY013700 · NEI · UNIVERSITY OF WISCONSIN MADISON · PI SHEIBANI, NADER · 2003 to 2005
$437k
NEI NIH HHS P30 EY016665NEI NIH HHS R01 EY016695NEI NIH HHS R01 EY018179NEI NIH HHS R03 EY013700NEI NIH HHS R24 EY022883
6 · The paper itself

Abstract

A multi-parameter quantification method was implemented to quantify retinal vascular injuries in microscopic images of clinically relevant eye diseases. This method was applied to wholemount retinal trypsin digest images of diabetic Akita/+, and bcl-2 knocked out mice models. Five unique features of retinal vasculature were extracted to monitor early structural changes and retinopathy, as well as quantifying the disease progression. Our approach was validated through simulations of retinal images. Results showed fewer number of cells (P = 5.1205e-05), greater population ratios of endothelial cells to pericytes (PCs) (P = 5.1772e-04; an indicator of PC loss), higher fractal dimension (P = 8.2202e-05), smaller vessel coverage (P = 1.4214e-05), and greater number of acellular capillaries (P = 7.0414e-04) for diabetic retina as compared to normal retina. Quantification using the present method would be helpful in evaluating physiological and pathological retinopathy in a high-throughput and reproducible manner.

Indexed as

Classificationfluorescence microscopyfractalsimage cytometryretinopathysegmentation

Identifiers

PMID27186534
PMCPMC4855887
OpenAlexW2338377743

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.