Evidence map›Paper›PMID 40805470›Full record

ArticleMaterials (Basel, Switzerland)2025

Optimizing Aortic Arch Stent-Graft Performance Through Material Science: An Exploratory Study.

Xiaobing Liu, Linxuan Zhang, Zongchao Liu, Shuai Teng

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Xiaobing LiuCollege of Transportation and Logistics, Guangzhou Railway Polytechnic, Guangzhou 511300, China.
Linxuan ZhangCollege of Transportation and Logistics, Guangzhou Railway Polytechnic, Guangzhou 511300, China.
Zongchao LiuCollege of Transportation and Logistics, Guangzhou Railway Polytechnic, Guangzhou 511300, China.ORCID 0000-0002-7331-7987
Shuai TengSchool of Civil and Transportation Engineering, Guangzhou University, Guangzhou 510006, China.ORCID 0000-0003-1703-3362

Funding

Guangdong Provincial Education Department 2024KTSCX297National Natural Science Foundation of China 52208309
6 · The paper itself

Abstract

Thoracic endovascular aortic repair (TEVAR) for cardiovascular diseases often encounters complications that are closely linked to the mechanical properties of stent-grafts. Both the design and material properties influence device performance, but the specific impacts of material properties remain underexplored and poorly understood. This study aims to fill this gap by systematically investigating how material science can modulate stent-graft mechanics. Four types of bare nitinol stents combined with expanded polytetrafluoroethylene (e-PTFE) or polyethylene terephthalate (PET) grafts were modeled via finite element analysis, creating eight stent-graft configurations. Key mechanical properties-flexibility, crimpability, and fatigue performance-were evaluated to dissect material effects. The results revealed that nitinol's properties significantly influenced all performance metrics, while PET grafts notably enhanced flexibility and fatigue life. No significant differences in equivalent stress were found between PET and e-PTFE grafts, and both had minimal impacts on radial force. This work underscores the potential of material science-driven optimization to enhance stent-graft performance for improved clinical outcomes.

Indexed as

aortic archfinite element methodmaterial propertiesmechanical propertiesstent-graft

Identifiers

PMID40805470
PMCPMC12348750

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.