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4D Printed Bifurcated Stents with Kirigami-Inspired Structures

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Abstract
Branched vessels, typically in the form of the letter "Y," can be narrowed or blocked, resulting in serious health problems. Bifurcated stents, which are hollow in the interior and exteriorly shaped to the branched vessels, surgically inserted inside the branched vessels, act as a supporting structure so that bodily fluids can freely travel through the interior of the stents without being obstructed by the narrowed or blocked vessels. For a bifurcated stent to be deployed at the target site, it needs to be injected inside the vessel and travel within the vessel to reach the target site. The diameter of the vessel is much smaller than the bounding sphere of the bifurcated stent; thus, a technique is required so that the bifurcated stent remains small enough to travel through the vessel and expands at the targeted branched vessel. These two conflicting conditions, that is, small enough to pass through and large enough to structurally support narrowed passages, are extremely difficult to satisfy simultaneously. We use two techniques to fulfill the above requirements. First, on the material side, a shape memory polymer (SMP) is used to self-initiate shape changes from small to large, that is, being small when inserted and becoming large at the target site. Second, on the design side, a kirigami pattern is used to fold the branching tubes into a single tube with a smaller diameter. The presented techniques can be used to engineer structures that can be compacted during transportation and return to their functionally adept shape when activated. Although our work is targeted on medical stents, biocompatibility issues need to be solved before actual clinical use.
Author(s)
Kim, DahongKim, TaeyoungLee, Yong-Gu
Issued Date
2019-07
Type
Article
DOI
10.3791/59746
URI
https://scholar.gist.ac.kr/handle/local/12625
Publisher
JOURNAL OF VISUALIZED EXPERIMENTS
Citation
JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, no.149
ISSN
1940-087X
Appears in Collections:
Department of AI Convergence > 1. Journal Articles
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