Evidence map›Paper›PMID 25539889›Full record

ArticleTissue engineering. Part C, Methods2015

Dynamic Assessment of the Endothelialization of Tissue-Engineered Blood Vessels Using an Optical Coherence Tomography Catheter-Based Fluorescence Imaging System.

Abhijit Achyut Gurjarpadhye, Matthew R DeWitt, Yong Xu, Ge Wang, Marissa Nichole Rylander, Christopher G Rylander

Open access · greenAbstract read
In one paragraph

Article in Tissue engineering. Part C, Methods, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. 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

6 authors at 3 institutions in 1 country.

Abhijit Achyut Gurjarpadhye1 School of Biomedical Engineering and Sciences, Virginia Polytechnic Institute and State University , Blacksburg, Virginia.
Matthew R DeWitt1 School of Biomedical Engineering and Sciences, Virginia Polytechnic Institute and State University , Blacksburg, Virginia.
Yong Xu2 Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University , Blacksburg, Virginia.
Ge Wang3 Biomedical Imaging Cluster, Rensselaer Polytechnic Institute , Troy, New York.
Marissa Nichole Rylander4 Department of Mechanical Engineering, The University of Texas at Austin , Austin, Texas.
Christopher G Rylander4 Department of Mechanical Engineering, The University of Texas at Austin , Austin, Texas.
Virginia Tech · USThe University of Texas at Austin · USRensselaer Polytechnic Institute · US

Funding

Optical Molecular Tomography for Regenerative MedicineR01HL098912 · NHLBI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI SOKER, SHAY, WANG, GE · 2010 to 2013
$2.9M
NHLBI NIH HHS HL098912
6 · The paper itself

Abstract

backgroundLumen endothelialization of bioengineered vascular scaffolds is essential to maintain small-diameter graft patency and prevent thrombosis postimplantation. Unfortunately, nondestructive imaging methods to visualize this dynamic process are lacking, thus slowing development and clinical translation of these potential tissue-engineering approaches. To meet this need, a fluorescence imaging system utilizing a commercial optical coherence tomography (OCT) catheter was designed to visualize graft endothelialization.

methodsC7 DragonFly™ intravascular OCT catheter was used as a channel for delivery and collection of excitation and emission spectra. Poly-dl-lactide (PDLLA) electrospun scaffolds were seeded with endothelial cells (ECs). Seeded cells were exposed to Calcein AM before imaging, causing the living cells to emit green fluorescence in response to blue laser. By positioning the catheter tip precisely over a specimen using high-fidelity electromechanical components, small regions of the specimen were excited selectively. The resulting fluorescence intensities were mapped on a two-dimensional digital grid to generate spatial distribution of fluorophores at single-cell-level resolution. Fluorescence imaging of endothelialization on glass and PDLLA scaffolds was performed using the OCT catheter-based imaging system as well as with a commercial fluorescence microscope. Cell coverage area was calculated for both image sets for quantitative comparison of imaging techniques. Tubular PDLLA scaffolds were maintained in a bioreactor on seeding with ECs, and endothelialization was monitored over 5 days using the OCT catheter-based imaging system.

resultsNo significant difference was observed in images obtained using our imaging system to those acquired with the fluorescence microscope. Cell area coverage calculated using the images yielded similar values. Nondestructive imaging of endothelialization on tubular scaffolds showed cell proliferation with cell coverage area increasing from 15 ± 4% to 89 ± 6% over 5 days.

conclusionIn this study, we showed the capability of an OCT catheter-based imaging system to obtain single-cell resolution and to quantify endothelialization in tubular electrospun scaffolds. We also compared the resulting images with traditional microscopy, showing high fidelity in image capability. This imaging system, used in conjunction with OCT, could potentially be a powerful tool for in vitro optimization of scaffold cellularization, ensuring long-term graft patency postimplantation.

Indexed as

Blood VesselsCathetersTissue EngineeringCell Line, TransformedFluorescenceHumansTissue ScaffoldsTomography, Optical Coherence

Identifiers

PMID25539889
PMCPMC4499783
OpenAlexW2090134989

What Socratic 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 Socratic graph.