Evidence map›Paper›PMID 26577255›Full record

ArticleAnnals of biomedical engineering2016

Development of a High-Throughput Ultrasound Technique for the Analysis of Tissue Engineering Constructs.

Jessica M Stukel, Monika Goss, Haoyan Zhou, Wenda Zhou, Rebecca Kuntz Willits, Agata A Exner

Open access · greenAbstract read
In one paragraph

Article in Annals of biomedical engineering, 2016. 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
0.5field-weighted citation impact, top 31% 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, 11 citations in OpenAlex.

  1. Article
  2. Review
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.

Jessica M StukelDepartment of Biomedical Engineering, The University of Akron, Akron, OH, 44325-0302, USA.
Monika GossDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
Haoyan ZhouDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
Wenda ZhouDepartment of Biomedical Engineering, The University of Akron, Akron, OH, 44325-0302, USA.
Rebecca Kuntz WillitsDepartment of Biomedical Engineering, The University of Akron, Akron, OH, 44325-0302, USA. willits@uakron.edu.
Agata A ExnerDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
Case Western Reserve University · USUniversity of Akron · US

Funding

Pressure-Driven Local Drug Delivery System for Treatment of Liver CancerR01EB016960 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI EXNER, AGATA A · 2013 to 2017
$1.8M
NIBIB NIH HHS R01 EB016960NIBIB NIH HHS R01EB016960
6 · The paper itself

Abstract

Development of hydrogel-based tissue engineering constructs is growing at a rapid rate, yet translation to patient use has been sluggish. Years of costly preclinical tests are required to predict clinical performance and safety of these devices. The tests are invasive, destructive to the samples and, in many cases, are not representative of the ultimate in vivo scenario. Biomedical imaging has the potential to facilitate biomaterial development by enabling longitudinal noninvasive device characterization directly in situ. Among the various available imaging modalities, ultrasound stands out as an excellent candidate due to low cost, wide availability, and a favorable safety profile. The overall goal of this work was to demonstrate the utility of clinical ultrasound in longitudinal characterization of 3D hydrogel matrices supporting cell growth. Specifically, we developed a quantitative technique using clinical B-mode ultrasound to differentiate collagen content and fibroblast density within poly(ethylene glycol) (PEG) hydrogels and validated it in an in vitro phantom environment. By manipulating the hydrogel gelation, differences in ultrasound signal intensity were found between gels with collagen fibers and those with non-fiber forming collagen, indicating that the technique was sensitive to the configuration of the protein. At a collagen density of 2.5 mg/mL collagen, fiber forming collagen had a significantly increased signal intensity of 14.90 ± 2.58 × 10(-5) a.u. compared to non-fiber forming intensity at 2.74 ± 0.36 × 10(-5) a.u. Additionally, differences in intensity were found between living and fixed fibroblasts, with an increased signal intensity detected in living cells (5.00 ± 0.80 × 10(-5) a.u. in 1 day live cells compared to 2.26 ± 0.39 × 10(-5) a.u.in fixed cells at a concentration of 1 × 10(6) cells/mL in gels containing collagen). Overall, there was a linear correlation >0.90 for ultrasound intensity with increasing cell density. Results demonstrate the feasibility of using clinical ultrasound for characterization of PEG-based hydrogels in a tissue-mimicking phantom. The approach is clinically-relevant and could, with further validation, be utilized to nondestructively monitor in vivo performance of implanted tissue engineering scaffolds over time in preclinical and clinical settings.

Indexed as

Tissue EngineeringTissue ScaffoldsCells, CulturedFibroblastsHumansHydrogelsPhantoms, ImagingPolyethylene GlycolsUltrasonographyHydrogelspolyethylene glycol 1000Polyethylene GlycolsCollagenHydrogelImagingPoly(ethylene glycol)ScaffoldTissue engineeringUltrasound

Identifiers

PMID26577255
PMCPMC4792737
OpenAlexW2286352359

What OpenQuestion holds

Textmetadata
LicenceTDM
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.