Evidence map›Paper›PMID 38728118›Full record

ArticleJournal of biomedical materials research. Part A2024

Computed tomography technologies to measure key structural features of polymeric biomedical implants from bench to bedside.

Kendell M Pawelec, Todd A Schoborg, Erik M Shapiro

Abstract read
In one paragraph

Article in Journal of biomedical materials research. Part A, 2024. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
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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.

Kendell M PawelecDepartment of Radiology, Michigan State University, East Lansing, Michigan, USA.ORCID 0000-0003-2606-4136
Todd A SchoborgDepartment of Molecular Biology, University of Wyoming, Laramie, Wyoming, USA.
Erik M ShapiroDepartment of Radiology, Michigan State University, East Lansing, Michigan, USA.

Funding

Radiopaque 3D printed tissue engineered scaffolds for nerve generationR01EB029418 · NIBIB · MICHIGAN STATE UNIVERSITY · PI Erik Shapiro · 2021 to 2026
$3.2M
Investigating the molecular mechanisms of microcephalyK22HL137902 · NHLBI · UNIVERSITY OF WYOMING · PI SCHOBORG, TODD · 2020 to 2022
$747k
NHLBI NIH HHS 1K22HL137902NHLBI NIH HHS K22 HL137902NIBIB NIH HHS R01 EB029418NIBIB NIH HHS R01EB029418
6 · The paper itself

Abstract

Implanted polymeric devices, designed to encourage tissue regeneration, require porosity. However, characterizing porosity, which affects many functional device properties, is non-trivial. Computed tomography (CT) is a quick, versatile, and non-destructive way to gain 3D structural information, yet various CT technologies, such as benchtop, preclinical and clinical systems, all have different capabilities. As system capabilities determine the structural information that can be obtained, seamless monitoring of key device features through all stages of clinical translation must be engineered intentionally. Therefore, in this study we tested feasibility of obtaining structural information in pre-clinical systems and high-resolution micro-CT (μCT) under physiological conditions. To overcome the low CT contrast of polymers in hydrated environments, radiopaque nanoparticle contrast agent was incorporated into porous devices. The size of resolved features in porous structures is highly dependent on the resolution (voxel size) of the scan. As the voxel size of the CT scan increased (lower resolution) from 5 to 50 μm, the measured pore size was overestimated, and percentage porosity was underestimated by nearly 50%. With the homogeneous introduction of nanoparticles, changes to device structure could be quantified in the hydrated state, including at high-resolution. Biopolymers had significant structural changes post-hydration, including a mean increase of 130% in pore wall thickness that could potentially impact biological response. By incorporating imaging capabilities into polymeric devices, CT can be a facile way to monitor devices from initial design stages through to clinical translation.

Indexed as

PolymersAnimalsBiocompatible MaterialsContrast MediaHumansNanoparticlesPorosityProstheses and ImplantsTomography, X-Ray ComputedX-Ray MicrotomographyBiocompatible MaterialsContrast MediaPolymersbiomedical devicescomputed tomographymedical imagingporosity

Identifiers

PMID38728118
PMCPMC11368623

What Socratic holds

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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.