Evidence map›Paper›PMID 37791258›Full record

ArticleBiomedical optics express2023

Possible depth-resolved reconstruction of shear moduli in the cornea following collagen crosslinking (CXL) with optical coherence tomography and elastography.

Gabriel Regnault, Mitchell A Kirby, Ruikang K Wang, Tueng T Shen, Matthew O'Donnell, Ivan Pelivanov

Abstract read
In one paragraph

Article in Biomedical optics express, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Article
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  4. Review
  5. Article
  6. [Controllability and predictability of riboflavin-ultraviolet A collagen cross-linking: advances in experimental techniques and theoretical research].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Gabriel RegnaultDepartment of Bioengineering, University of Washington, Seattle, WA, USA.ORCID https://orcid.org/0000-0002-7977-8549
Mitchell A KirbyDepartment of Bioengineering, University of Washington, Seattle, WA, USA.ORCID https://orcid.org/0000-0001-6042-8445
Ruikang K WangDepartment of Bioengineering, University of Washington, Seattle, WA, USA.ORCID https://orcid.org/0000-0001-5169-8822
Tueng T ShenDepartment of Ophthalmology, University of Washington, Seattle, WA, USA.
Matthew O'DonnellDepartment of Bioengineering, University of Washington, Seattle, WA, USA.
Ivan PelivanovDepartment of Bioengineering, University of Washington, Seattle, WA, USA.

Funding

Dynamic OCE with acoustic micro-tapping for in vivo monitoring of skin graft surgeriesR01AR077560 · NIAMS · UNIVERSITY OF WASHINGTON · PI PELIVANOV, IVAN · 2021 to 2025
$3.0M
Optical coherence elastography of corneal dynamicsR01EY026532 · NEI · UNIVERSITY OF WASHINGTON · PI SHEN, TUENG T · 2016 to 2020
$2.9M
Ultra-wide field optical coherence tomography based angiography for imaging diabetic retinopathyR01EY028753 · NEI · UNIVERSITY OF WASHINGTON · PI WANG, RUIKANG · 2018 to 2021
$2.2M
NEI NIH HHS R01 EY026532NEI NIH HHS R01 EY028753NIAMS NIH HHS R01 AR077560
6 · The paper itself

Abstract

Corneal collagen crosslinking (CXL) is commonly used to prevent or treat keratoconus. Although changes in corneal stiffness induced by CXL surgery can be monitored with non-contact dynamic optical coherence elastography (OCE) by tracking mechanical wave propagation, depth dependent changes are still unclear if the cornea is not crosslinked through the whole depth. Here, phase-decorrelation measurements on optical coherence tomography (OCT) structural images are combined with acoustic micro-tapping (AµT) OCE to explore possible reconstruction of depth-dependent stiffness within crosslinked corneas in an

Identifiers

PMID37791258
PMCPMC10545180

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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.