Evidence map›Paper›PMID 33796348›Full record

ArticleBiomedical optics express2021

Two-dimensional (2D) dynamic vibration optical coherence elastography (DV-OCE) for evaluating mechanical properties: a potential application in tissue engineering.

Hsiao-Chuan Liu, Piotr Kijanka, Matthew W Urban

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Phantoms for use in optical coherence elastography.Journal of biomedical optics · 2026
    Review
  2. Article
  3. Acoustic Force Elastography Microscopy.IEEE transactions on bio-medical engineering · 2023
    Article
  4. Introduction to optical coherence elastography: tutorial.Journal of the Optical Society of America. A, Optics, image science, and vision · 2022
    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

3 authors at 2 institutions in 2 countries.

Hsiao-Chuan LiuDepartment of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0002-5410-8821
Piotr KijankaDepartment of Robotics and Mechatronics, AGH University of Science and Technology, Al. Mickiewicza 30, Krakow 30-059, Poland.ORCID https://orcid.org/0000-0001-6086-3420
Matthew W UrbanDepartment of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0003-1360-4287
WinnMed · USAGH University of Krakow · PL

Funding

Measurement of Renal Viscoelastic Properties with UltrasoundR01DK092255 · NIDDK · MAYO CLINIC ROCHESTER · PI URBAN, MATTHEW WILLIAM · 2012 to 2022
$5.2M
NIDDK NIH HHS R01 DK092255
6 · The paper itself

Abstract

Mechanical properties in tissues are an important indicator because they are associated with disease states. One of the well-known excitation sources in optical coherence elastography (OCE) to determine mechanical properties is acoustic radiation force (ARF); however, a complicated focusing alignment cannot be avoided. Another excitation source is a piezoelectric (PZT) stack to obtain strain images via compression, which can affect the intrinsic mechanical properties of tissues in tissue engineering. In this study, we report a new technique called two-dimensional (2D) dynamic vibration OCE (DV-OCE) to evaluate 2D wave velocities without tedious focusing alignment procedures and is a non-contact method with respect to the samples. The three-dimensional (3D) Fourier transform was utilized to transfer the traveling waves (

Identifiers

PMID33796348
PMCPMC7984779
OpenAlexW3121291866

What OpenQuestion holds

Textmetadata
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.