Evidence map›Paper›PMID 37750745›Full record

ArticleTranslational vision science & technology2023

Machine Independence of Ultrasound-Based Quantification of Vitreous Echodensities.

Cameron Hoerig, Justin H Nguyen, Jonathan Mamou, Cedric Venuat, J Sebag, Jeffrey A Ketterling

Open access · goldAbstract read
In one paragraph

Article in Translational vision science & technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

6 authors at 2 institutions in 1 country.

Cameron HoerigWeill Cornell Medicine, Department of Radiology, New York, NY, USA.
Justin H NguyenVMR Institute for Vitreous Macula Retina, Huntington Beach, CA, USA.
Jonathan MamouWeill Cornell Medicine, Department of Radiology, New York, NY, USA.
Cedric VenuatQuantel Medical, Cournon d'Auvergne, France.
J SebagVMR Institute for Vitreous Macula Retina, Huntington Beach, CA, USA.
Jeffrey A KetterlingWeill Cornell Medicine, Department of Radiology, New York, NY, USA.
Cornell University · USDoheny Eye Institute · US

Funding

Vitreo-retinal disease imaging with 3D annular-array ultrasoundR01EB032082 · NIBIB · WEILL MEDICAL COLL OF CORNELL UNIV · PI KETTERLING, JEFFREY · 2021 to 2021
$2.2M
NIBIB NIH HHS R01 EB032082
6 · The paper itself

Abstract

Purpose: Quantitative ultrasound (QUS) provides objective indices of Vision Degrading Myodesopsia (VDM) that correlate with contrast sensitivity (CS). To date, QUS methods were only tested on a single ultrasound machine. Here, we evaluate whether QUS measurements are machine independent. Methods: In this cross-sectional study, 47 eyes (24 subjects; age = 53.2 ± 14.4 years) were evaluated with Freiburg acuity contrast testing (%Weber), and ultrasonography using 2 machines: one with a 15-MHz single-element transducer and one with a 5-ring, 20-MHz annular-array. Images were acquired from each system in sequential scans. Artifact-free, log-compressed envelope data were processed to yield three parameters (mean amplitude, M; energy, E; and percentage filled by echodensities, P50) and a composite score (C). A B-mode normalization method was applied to the 20-MHz datasets to match QUS parameters at both frequencies. Statistical analyses were performed to evaluate correlations among CS, E, M, P50, and C for both machines. Results: QUS parameters from each machine correlated with CS (R ≥ 0.57, P < 0.001) and there was correlation between machines (R ≥ 0.84, P < 0.001). Correlations between CS and QUS parameters were statistically similar for both machines (P ≥ 0.14) except when the 20-MHz data were normalized (P = 0.04). Reproducibility of QUS parameters computed from 20-MHz data were satisfactory (52.3%-96.3%) with intraclass correlation values exceeding 0.80 (P < 0.001). Conclusions: The high correlation between QUS parameters from both machines combined with a statistically similar correlation to CS suggests QUS is an effective, machine-independent, quantitative measure of vitreous echodensities. Translational Relevance: QUS may be applied across clinical ophthalmic ultrasound scanners and imaging frequencies to effectively evaluate VDM.

Indexed as

EyeResearch DesignAdultAgedCross-Sectional StudiesHumansMiddle AgedReproducibility of ResultsUltrasonography

Identifiers

PMID37750745
PMCPMC10540872
OpenAlexW4387033034

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.