Evidence map›Paper›PMID 40136292›Full record

ArticleTranslational vision science & technology2025

Regional Biomechanical Weakening in Keratoconus Corneas Detected by In Vivo High-Frequency Ultrasound Elastography.

Sunny Kwok, Xueliang Pan, Manqi Pan, Zihao Chen, Madison Ammon, Andrew Hendershot, Jun Liu

Abstract read
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Article in Translational vision science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sunny KwokDepartment of Biomedical Engineering, The Ohio State University, Columbus, OH, USA.
Xueliang PanDepartment of Biomedical Informatics, The Ohio State University, Columbus, OH, USA.
Manqi PanDepartment of Biomedical Engineering, The Ohio State University, Columbus, OH, USA.
Zihao ChenDepartment of Biomedical Engineering, The Ohio State University, Columbus, OH, USA.
Madison AmmonBiophysics Graduate Program, The Ohio State University, Columbus, OH, USA.
Andrew HendershotDepartment of Ophthalmology and Visual Sciences, The Ohio State University, Columbus, OH, USA.
Jun LiuDepartment of Biomedical Engineering, The Ohio State University, Columbus, OH, USA.

Funding

Ocular Pulse ElastographyR01EY025358 · NEI · OHIO STATE UNIVERSITY · PI LIU, JUN · 2016 to 2020
$2.0M
Biomechanical Interplay between Optic Nerve Head and Peripapillary ScleraR01EY032621 · NEI · OHIO STATE UNIVERSITY · PI LIU, JUN · 2022 to 2025
$1.6M
NEI NIH HHS R01 EY025358NEI NIH HHS R01 EY032621
6 · The paper itself

Abstract

Purpose: In vivo biomechanical characterization of the cornea remains a challenge. We have developed a high-resolution ultrasound elastography technique, termed ocular pulse elastography (OPE), to measure corneal deformation in response to the intraocular pressure (IOP) pulsation at each heartbeat. In this study, we aimed to compare corneal axial strains (CASs) between patients with keratoconus and normal subjects and evaluate the spatial mapping of CAS in high grade keratoconus. Methods: Forty patients with keratoconus (63 eyes) and 40 normal controls (80 eyes) were enrolled in this study. Each eye underwent 4 ultrasound measurements using the Vevo2100 high-frequency ultrasound system. Each measurement acquired 1000 continuous B-mode scans in 8 seconds. Corneal axial displacements and strains were quantified using an ultrasound speckle tracking algorithm. Results: CAS magnitude was significantly higher in keratoconus than normal corneas (-0.13% ± 0.09% vs. -0.06% ± 0.04%, P < 0.001) with an increasing trend in higher grades (P < 0.001). CAS in keratoconus corneas had a greater spatial variance as higher strains were observed in the cone center than its surrounding regions in grade 3 and 4 keratoconus corneas. Conclusions: Our results showed that high-frequency ultrasound elastography was able to detect and quantify the larger deformation of keratoconus corneas than normal corneas in response to the natural fluctuations of IOP at each heartbeat, and it also detected the spatial variance showing greater deformation in the cone region. Translational Relevance: High-resolution ultrasound may provide a sensitive tool for quick, spatially resolved characterization of corneal biomechanics to aid keratoconus detection and diagnosis.

Indexed as

CorneaElasticity Imaging TechniquesKeratoconusAdultBiomechanical PhenomenaCorneal TopographyFemaleHumansIntraocular PressureMaleMiddle AgedYoung Adult

Identifiers

PMID40136292
PMCPMC11951050

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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.