Evidence map›Paper›PMID 39708758›Full record

ArticleJournal of the mechanical behavior of biomedical materials2025

A computational framework to optimize the mechanical behavior of synthetic vascular grafts.

David Jiang, Andrew J Robinson, Abbey Nkansah, Jonathan Leung, Leopold Guo, Steve A Maas, Jeffrey A Weiss, Elizabeth M Cosgriff-Hernandez, Lucas H Timmins

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the mechanical behavior of biomedical materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

David JiangDepartment of Biomedical Engineering, The University of Utah, 36 S Wasatch Dr, Salt Lake City, UT, 84112, USA; Department of Biomedical Engineering, Texas A&M University, 101 Bizzell St, College Station, TX, 77843, USA. Electronic address: david.jiang@utah.edu.
Andrew J RobinsonDepartment of Biomedical Engineering, The University of Texas at Austin, 107 W Dean Keeton Street, Austin, TX, 78712, USA. Electronic address: ajrobinson@utexas.edu.
Abbey NkansahDepartment of Biomedical Engineering, The University of Texas at Austin, 107 W Dean Keeton Street, Austin, TX, 78712, USA. Electronic address: abbey.nkansah@utexas.edu.
Jonathan LeungDepartment of Biomedical Engineering, The University of Texas at Austin, 107 W Dean Keeton Street, Austin, TX, 78712, USA. Electronic address: jonathanleung@utexas.edu.
Leopold GuoDepartment of Biomedical Engineering, The University of Texas at Austin, 107 W Dean Keeton Street, Austin, TX, 78712, USA. Electronic address: leopold.guo@utexas.edu.
Steve A MaasScientific Computing and Imaging Institute, The University of Utah, 72 Central Campus Dr, Salt Lake City, UT, 84112, USA. Electronic address: steve.maas@utah.edu.
Jeffrey A WeissDepartment of Biomedical Engineering, The University of Utah, 36 S Wasatch Dr, Salt Lake City, UT, 84112, USA; Scientific Computing and Imaging Institute, The University of Utah, 72 Central Campus Dr, Salt Lake City, UT, 84112, USA; Department of Orthopaedics, The University of Utah, 590 Wakara Way, Salt Lake City, UT, 84108, USA. Electronic address: jeff.weiss@utah.edu.
Elizabeth M Cosgriff-HernandezDepartment of Biomedical Engineering, The University of Texas at Austin, 107 W Dean Keeton Street, Austin, TX, 78712, USA. Electronic address: cosgriff.hernandez@utexas.edu.
Lucas H TimminsDepartment of Biomedical Engineering, The University of Utah, 36 S Wasatch Dr, Salt Lake City, UT, 84112, USA; Department of Biomedical Engineering, Texas A&M University, 101 Bizzell St, College Station, TX, 77843, USA; Scientific Computing and Imaging Institute, The University of Utah, 72 Central Campus Dr, Salt Lake City, UT, 84112, USA; School of Engineering Medicine, Texas A&M University, 1020 Holcombe Blvd., Houston, TX, 77030, USA; Department of Multidisciplinary Engineering, Texas A&M University, 101 Bizzell St, College Station, TX, 77843, USA; Department of Cardiovascular Sciences, Houston Methodist Academic Institute, 6565 Fannin Street, Houston, TX, 77030, USA. Electronic address: lucas.timmins@tamu.edu.

Funding

TRD - VisualizationP41GM103545 · NIGMS · UNIVERSITY OF UTAH · PI JOHNSON, CHRISTOPHER R., MACLEOD, ROB S. · 2012 to 2019
$9.7M
Finite Elements For Biomechanics And BiophysicsR01GM083925 · NIGMS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI GERARD A. ATESHIAN, JEFFREY A. WEISS · 2008 to 2026
$7.6M
Biomechanical Indices for Coronary Lesion Rupture Risk and Lesion PrognosticationR01HL150608 · NHLBI · UNIVERSITY OF UTAH · PI HSU, EDWARD W, TIMMINS, LUCAS H. · 2020 to 2024
$1.7M
Center for Integrative Biomedical Computing Legacy TransitionR24GM136986 · NIGMS · UNIVERSITY OF UTAH · PI JOHNSON, CHRISTOPHER R., MACLEOD, ROB S. · 2020 to 2022
$1.6M
Lab-to-User Training and Dissemination for the FEBio Software SuiteU24EB029007 · NIBIB · UNIVERSITY OF UTAH · PI WEISS, JEFFREY A. · 2019 to 2023
$1.3M
NHLBI NIH HHS R01 HL150608NIBIB NIH HHS U24 EB029007NIGMS NIH HHS P41 GM103545NIGMS NIH HHS R01 GM083925NIGMS NIH HHS R24 GM136986
6 · The paper itself

Abstract

The failure of synthetic small-diameter vascular grafts has been attributed to a mismatch in the compliance between the graft and native artery, driving mechanisms that promote thrombosis and neointimal hyperplasia. Additionally, the buckling of grafts results in large deformations that can lead to device failure. Although design features can be added to lessen the buckling potential (e.g., reinforcing coil), the addition is detrimental to decreasing compliance. Herein, we developed a novel finite element (FE) framework to inform vascular graft design by evaluating compliance and resistance to buckling. A batch-processing scheme iterated across the multi-dimensional design parameter space, which included three parameters: coil thickness, modulus, and spacing - generating 100 unique designs. FE models were created for each coil-reinforced graft design to simulate pressurization, axial buckling, and bent buckling, and results were analyzed to quantify compliance, buckling load, and kink radius, respectively. Validation of the FE models demonstrated that model predictions agreed with experimental observations for compliance (r = 0.99), buckling load (r = 0.89), and kink resistance (r = 0.97). Model predictions demonstrated a broad range of values for compliance (1.1-7.9 %/mmHg × 10

Indexed as

Blood Vessel ProsthesisFinite Element AnalysisMaterials TestingMechanical PhenomenaBiomechanical PhenomenaProsthesis DesignStress, MechanicalBiomaterialsBucklingCompliance matchingFinite element analysisKinkingVascular graft

Identifiers

PMID39708758
PMCPMC11812276

What OpenQuestion holds

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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.