Enabling Angioplasty‐Ready “Smart” Stents to Detect In‐Stent Restenosis and Occlusion
Abstract: Despite the multitude of stents implanted annually worldwide, the most common complication called in‐stent restenosis still poses a significant risk to patients. Here, a “smart” stent equipped with microscale sensors and wireless interface is developed to enable continuous monitoring of restenosis through the implanted stent. This electrically active stent functions as a radiofrequency wireless pressure transducer to track local hemodynamic changes upon a renarrowing condition. The smart stent is devised and constructed to fulfill both engineering and clinical requirements while proving its compatibility with the standard angioplasty procedure. Prototypes pass testing through assembly on balloon catheters withstanding crimping forces of >100 N and balloon expansion pressure up to 16 atm, and show wireless sensing with a resolution of 12.4 mmHg. In a swine model, this device demonstrates wireless detection of blood clot formation, as well as real‐time tracking of local blood pressure change over a range of 108 mmHg that well covers the range involved in human. The demonstrated results are expected to greatly advance smart stent technology toward its clinical practice.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Enabling Angioplasty‐Ready “Smart” Stents to Detect In‐Stent Restenosis and Occlusion ; volume:5 ; number:5 ; year:2018 ; extent:10
Advanced science ; 5, Heft 5 (2018) (gesamt 10)
- Creator
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Chen, Xing
Assadsangabi, Babak
Hsiang, York
Takahata, Kenichi
- DOI
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10.1002/advs.201700560
- URN
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urn:nbn:de:101:1-2022091018564994059067
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:33 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Chen, Xing
- Assadsangabi, Babak
- Hsiang, York
- Takahata, Kenichi
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In-stent restenosis and longitudinal stent deformation: a case report
Evaluation of femoropopliteal in-stent restenosis characteristics stratified by stent design
A coupled multiphysics approach for modelling in-stent restenosis
Deep learning‐based surrogate modeling of coronary in‐stent restenosis
Deep learning‐based surrogate modeling of coronary in‐stent restenosis
Uncertainty Quantification of a Multiscale Model for In-Stent Restenosis
Rotarex®S rotational atherectomy combined with drug-coated balloon angioplasty for treating femoropopliteal artery in-stent restenosis
Intraprocedural endothelial cell seeding of arterial stents via biotin/avidin targeting mitigates in-stent restenosis
The impact of tissue characterization for in-stent restenosis with optical coherence tomography during excimer laser coronary angioplasty
Data-driven reduced order surrogate modeling for coronary in-stent restenosis
Medical Implants: Enabling Angioplasty‐Ready “Smart” Stents to Detect In‐Stent Restenosis and Occlusion (Adv. Sci. 5/2018)
In-stent restenosis in real world
In-stent restenosis and longitudinal stent deformation: a case report
Evaluation of femoropopliteal in-stent restenosis characteristics stratified by stent design
A coupled multiphysics approach for modelling in-stent restenosis
Deep learning‐based surrogate modeling of coronary in‐stent restenosis
Deep learning‐based surrogate modeling of coronary in‐stent restenosis
Uncertainty Quantification of a Multiscale Model for In-Stent Restenosis
Rotarex®S rotational atherectomy combined with drug-coated balloon angioplasty for treating femoropopliteal artery in-stent restenosis
Intraprocedural endothelial cell seeding of arterial stents via biotin/avidin targeting mitigates in-stent restenosis
The impact of tissue characterization for in-stent restenosis with optical coherence tomography during excimer laser coronary angioplasty