Evidence map›Paper›PMID 29999475›Full record

ArticleTissue engineering. Part C, Methods2018

Rapid Detection of Shear-Induced Damage in Tissue-Engineered Cartilage Using Ultrasound.

Joseph M Mansour, Mostafa Motavalli, James E Dennis, Thomas J Kean, Arnold I Caplan, Jim A Berilla, Jean F Welter

Abstract read
In one paragraph

Article in Tissue engineering. Part C, Methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Apparatus and Method for Rapid Detection of Acoustic Anisotropy in Cartilage.Journal of medical and biological engineering · 2020
    Article
  3. 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

7 authors.

Joseph M Mansour1 Department of Mechanical and Aerospace Engineering, Case Western Reserve University , Cleveland, Ohio.
Mostafa MotavalliDepartment of Case Center for Multimodal Evaluation of Engineered Cartilage, Case Western Reserve University , Cleveland, Ohio.
James E Dennis4 Department of Orthopedic Surgery, Baylor College of Medicine , Houston, Texas.
Thomas J Kean4 Department of Orthopedic Surgery, Baylor College of Medicine , Houston, Texas.
Arnold I CaplanDepartment of Case Center for Multimodal Evaluation of Engineered Cartilage, Case Western Reserve University , Cleveland, Ohio.
Jim A BerillaDepartment of Case Center for Multimodal Evaluation of Engineered Cartilage, Case Western Reserve University , Cleveland, Ohio.
Jean F WelterDepartment of Case Center for Multimodal Evaluation of Engineered Cartilage, Case Western Reserve University , Cleveland, Ohio.

Funding

TR&D-4: Growing Tissue in the Scalable, Modular, Automated, and Closed (SMAC) FoundryP41EB021911 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI JEAN F WELTER · 2016 to 2026
$13.9M
NIBIB NIH HHS P41 EB021911
6 · The paper itself

Abstract

Previous investigations have shown that tissue-engineered articular cartilage can be damaged under a combination of compression and sliding shear. In these cases, damage was identified in histological sections after a test was completed. This approach is limited, in that it does not identify when damage occurred. This especially limits the utility of an assay for evaluating damage when comparing modifications to a tissue-engineering protocol. In this investigation, the feasibility of using ultrasound (US) to detect damage as it occurs was investigated. US signals were acquired before, during, and after sliding shear, as were stereomicroscope images of the cartilage surface. Histology was used as the standard for showing if a sample was damaged. We showed that US reflections from the surface of the cartilage were attenuated due to roughening following sliding shear. Furthermore, it was shown that by scanning the transducer across a sample, surface roughness and erosion following sliding shear could be identified. Internal delamination could be identified by the appearance of new echoes between those from the front and back of the sample. Thus, it is feasible to detect damage in engineered cartilage using US.

Indexed as

Stress, MechanicalUltrasonographyAnimalsCartilage, ArticularCattleCompressive StrengthRabbitsSurface PropertiesTissue EngineeringWeight-Bearingacoustic analysisarticular cartilagenondestructive testingtissue engineeringtissue failure identificationultrasonography

Identifiers

PMID29999475
PMCPMC6088252

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.