Evidence map›Paper›PMID 39214160›Full record

ArticleActa biomaterialia2024

Polycaprolactone-based shape memory foams as self-fitting vaginal stents.

Ashley J Hicks, Courteney Roberts, Andrew Robinson, Kailey Wilson, Varsha Kotamreddy, Trace LaRue, Arian Veyssi, Felipe Beltran, Julie Hakim, Manuel K Rausch and 2 more

Abstract read
In one paragraph

Article in Acta biomaterialia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

12 authors.

Ashley J HicksDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, United States. Electronic address: ahicks9802@utexas.edu.
Courteney RobertsDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843, United States. Electronic address: ctroberts@tamu.edu.
Andrew RobinsonDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, United States. Electronic address: ajrobinson@utexas.edu.
Kailey WilsonDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, United States.
Varsha KotamreddyDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, United States. Electronic address: varshak@utexas.edu.
Trace LaRueDepartment of Aerospace Engineering & Engineering Mechanics, The University of Texas at Austin, Austin, TX 78712, United States. Electronic address: traceglarue@utexas.edu.
Arian VeyssiDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, United States. Electronic address: veyssi@utexas.edu.
Felipe BeltranDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843, United States.
Julie HakimDepartment of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX 77030, United States. Electronic address: julie.hakim@bcm.edu.
Manuel K RauschDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, United States; Department of Aerospace Engineering & Engineering Mechanics, The University of Texas at Austin, Austin, TX 78712, United States; Walker Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX 78712, United States. Electronic address: manuel.rausch@utexas.edu.
Melissa GrunlanDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843, United States. Electronic address: mgrunlan@tamu.edu.
Elizabeth Cosgriff-HernandezDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, United States. Electronic address: cosgriff.hernandez@utexas.edu.

Funding

Resorbable, Shape Memory Stents to Prevent Vaginal FibrosisR21HD104059 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI COSGRIFF-HERNANDEZ, ELIZABETH MARIE · 2021 to 2022
$444k
NICHD NIH HHS R21 HD104059
6 · The paper itself

Abstract

There is an urgent critical need for a patient-forward vaginal stent that can prevent debilitating vaginal stenosis that occurs after pelvic radiation treatments and vaginal reconstruction. To this end, we developed a self-fitting vaginal stent based on a shape-memory polymer (SMP) foam that can assume a secondary, compressed shape for ease of deployment. Upon insertion, the change in temperature and hydration initiates foam expansion to shape fit to the individual patient and restore the lumen of the stent to allow egress of vaginal secretions. To achieve rapid actuation at physiological temperature, we investigated the effect of architecture of two photocurable, polycaprolactone (PCL) macromers. Star-PCL-tetraacrylate displayed a reduced melting temperature as compared to a linear-PCL-diacrylate. Upon fabrication into high porosity foams with emulsion-templating, both compositions displayed shape fixity (>90 %) in a crimped, temporary shape. However, only the PCL star-foams displayed shape recovery (∼84 %) at 37 °C with expansion back to its permanent shape. A custom mold and curing system were then used to fabricate the PCL star-foams into hollow, cylindrical stents. The stent was crimped to its temporary insertion shape (50 % reduction in diameter, OD ∼ 11 mm) with a custom radial crimper and displayed excellent shape fixity for deployment (> 95 %) and shape recovery (∼ 100 %). To screen vaginal stents, we developed a custom benchtop pelvic model that simulated vaginal anatomy, temperatures, and pressures with an associated computational model. The crimped SMP vaginal stent was deployed in the model and expanded to walls of the canal (∼70 % increase in cross-sectional area) in less than 5 min after irrigation with warm water. The vaginal stent demonstrated retention of vaginal caliber with less than 10 % decrease in cross-sectional area under physiological pressures. Collectively, this work demonstrates the potential for SMP foams as self-fitting vaginal stents to prevent stenosis and provides new open-source tools for the iterative design of other gynecological devices. STATEMENT OF SIGNIFICANCE: Vaginal stenosis, a painful narrowing of the vaginal canal, is a common complication after pelvic radiation therapy or reconstructive surgery. To address this clinical need, we have created a self-fitting vaginal stent from a shape-memory polymer foam. The stent compresses for easy insertion and then expands to adapt to each patient's anatomy to maintain an open vaginal canal and prevent stenosis. This innovative stent provides a patient-friendly solution that could make a significant difference for women undergoing pelvic treatments by reducing pain, aiding recovery, and improving quality of life.

Indexed as

PolyestersStentsVaginaFemaleHumansSmart MaterialspolycaprolactonePolyestersSmart MaterialsEmulsion templatingShape memory polymersVaginal stenosis

Identifiers

PMID39214160
PMCPMC11600519

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.