Evidence map›Paper›PMID 30245632›Full record

ArticleFrontiers in physiology2018

Estimation of Diabetic Retinal Microaneurysm Perfusion Parameters Based on Computational Fluid Dynamics Modeling of Adaptive Optics Scanning Laser Ophthalmoscopy.

Miguel O Bernabeu, Yang Lu, Omar Abu-Qamar, Lloyd P Aiello, Jennifer K Sun

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

19 citing papers in PubMed, 31 citations in OpenAlex.

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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 3 institutions in 2 countries.

Miguel O BernabeuCentre for Medical Informatics, Usher Institute, The University of Edinburgh, Edinburgh, United Kingdom.
Yang LuBeetham Eye Institute, Joslin Diabetes Center, Boston, MA, United States.
Omar Abu-QamarBeetham Eye Institute, Joslin Diabetes Center, Boston, MA, United States.
Lloyd P AielloBeetham Eye Institute, Joslin Diabetes Center, Boston, MA, United States.
Jennifer K SunBeetham Eye Institute, Joslin Diabetes Center, Boston, MA, United States.
Joslin Diabetes Center · USHarvard University · USUniversity of Edinburgh · GB

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI JEAN E. SCHAFFER · 1986 to 2026
$50.5M
Long Stroke Wavefront Correctors for Retinal ImagingR44EY016295 · NEI · BOSTON MICROMACHINES CORPORATION · PI BIERDEN, PAUL ARTHUR · 2007 to 2013
$2.1M
Predicting Outcomes & Anti-VEGF Response in Diabetic Eyes by Adaptive Optics SLOR01EY024702 · NEI · JOSLIN DIABETES CENTER · PI SUN, JENNIFER KATHERINE · 2014 to 2018
$1.7M
NEI NIH HHS R01 EY024702NEI NIH HHS R44 EY016295NIDDK NIH HHS P30 DK036836
6 · The paper itself

Abstract

Diabetic retinopathy (DR) is a leading cause of vision loss worldwide. Microaneurysms (MAs), which are abnormal outpouchings of the retinal vessels, are early and hallmark lesions of DR. The presence and severity of MAs are utilized to determine overall DR severity. In addition, MAs can directly contribute to retinal neural pathology by leaking fluid into the surrounding retina, causing abnormal central retinal thickening and thereby frequently leading to vision loss. Vascular perfusion parameters such as shear rate (SR) or wall shear stress (WSS) have been linked to blood clotting and endothelial cell dysfunction, respectively in non-retinal vasculature. However, despite the importance of MAs as a key aspect of diabetic retinal pathology, much remains unknown as to how structural characteristics of individual MAs are associated with these perfusion attributes. MA structural information obtained on high resolution adaptive optics scanning laser ophthalmoscopy (AOSLO) was utilized to estimate perfusion parameters through Computational Fluid Dynamics (CFD) analysis of the AOSLO images. The HemeLB flow solver was used to simulate steady-state and time-dependent fluid flow using both commodity hospital-based and high performance computing resources, depending on the degree of detail required in the simulations. Our results indicate that WSS is lowest in MA regions furthest away from the feeding vessels. Furthermore, areas of low SR are associated with clot location in saccular MAs. These findings suggest that morphology and CFD estimation of perfusion parameters may be useful tools for determining the likelihood of clot presence in individual diabetic MAs.

Indexed as

adaptive opticsblood flowcomputational fluid dynamicsdiabetic retinopathymicroaneurysm

Identifiers

PMID30245632
PMCPMC6137139
OpenAlexW2840814976

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.