Enabling Angioplasty-Ready “Smart” Stents to Detect In-Stent Restenosis and Occlusion

Xing Chen, Babak Assadsangabi, York Hsiang, Kenichi Takahata

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

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.

Original languageEnglish (US)
Article number1700560
JournalAdvanced Science
Volume5
Issue number5
DOIs
StatePublished - May 2018

Keywords

  • angioplasty
  • restenosis
  • smart medical implants
  • stents
  • wireless sensing

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • General Chemical Engineering
  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • General Materials Science
  • General Engineering
  • General Physics and Astronomy

Fingerprint

Dive into the research topics of 'Enabling Angioplasty-Ready “Smart” Stents to Detect In-Stent Restenosis and Occlusion'. Together they form a unique fingerprint.

Cite this