Biostable wireless sensor-integrated bioresorbable stent for real-time monitoring of vascular pressure and fractional flow reserve

Stent implantation is widely used to treat coronary artery disease, yet in-stent restenosis (ISR) remains a major clinical challenge. Fractional flow reserve (FFR) is the gold-standard index for evaluating restenosis severity, but current techniques are invasive and unsuitable for continuous monitoring. Here, we present a bioresorbable smart stent platform that enables real-time intravascular pressure sensing and continuous FFR monitoring. The system integrates a MEMS-based LC pressure sensor, fabricated from SU-8 and gold, onto a hybrid 3D-printed vascular stent composed of polycaprolactone (PCL) and polylactic acid (PLA). Structural refinements and an optimized fabrication process enable long-term sensor reliability, minimize signal drift, and maintain stable resonance frequency. Across 100 fabricated devices, the pressure sensors show a resonance frequency of 82.2 ± 1.7 MHz and a sensitivity of 37.48 ± 2.13 kHz/mmHg. In vitro closed-loop fluidic tests using a vascular phantom confirmed the stable, wireless operation of the device and its ability to accurately assess hemodynamic parameters. The dual-sensor configuration enables simultaneous upstream and downstream pressure measurements, yielding FFR values that closely match those from a commercial system (R² = 0.97) under varying stenosis severities. The proposed smart stent offers a promising pathway toward long-term, non-invasive vascular monitoring and early detection of ISR.

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Publication Details

Journal
Microsystems & Nanoengineering
Published
2026-03-31
DOI
https://doi.org/10.1038/s41378-026-01182-8
Primary Topic
Coronary Interventions and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00

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article

Biostable wireless sensor-integrated bioresorbable stent for real-time monitoring of vascular pressure and fractional flow reserve

Arunkumar Shanmugasundaram, Nomin‐Erdene Oyunbaatar, Dong-Weon Lee, Jinliang Wei
Microsystems & Nanoengineering
Coronary Interventions and Diagnostics
article

Biostable wireless sensor-integrated bioresorbable stent for real-time monitoring of vascular pressure and fractional flow reserve

Arunkumar Shanmugasundaram, Nomin‐Erdene Oyunbaatar, Dong-Weon Lee, Jinliang Wei
article en

Abstract

Stent implantation is widely used to treat coronary artery disease, yet in-stent restenosis (ISR) remains a major clinical challenge. Fractional flow reserve (FFR) is the gold-standard index for evaluating restenosis severity, but current techniques are invasive and unsuitable for continuous monitoring. Here, we present a bioresorbable smart stent platform that enables real-time intravascular pressure sensing and continuous FFR monitoring. The system integrates a MEMS-based LC pressure sensor, fabricated from SU-8 and gold, onto a hybrid 3D-printed vascular stent composed of polycaprolactone (PCL) and polylactic acid (PLA). Structural refinements and an optimized fabrication process enable long-term sensor reliability, minimize signal drift, and maintain stable resonance frequency. Across 100 fabricated devices, the pressure sensors show a resonance frequency of 82.2 ± 1.7 MHz and a sensitivity of 37.48 ± 2.13 kHz/mmHg. In vitro closed-loop fluidic tests using a vascular phantom confirmed the stable, wireless operation of the device and its ability to accurately assess hemodynamic parameters. The dual-sensor configuration enables simultaneous upstream and downstream pressure measurements, yielding FFR values that closely match those from a commercial system (R² = 0.97) under varying stenosis severities. The proposed smart stent offers a promising pathway toward long-term, non-invasive vascular monitoring and early detection of ISR.

Microsystems & NanoengineeringVol. 12(1)
Chonnam National University (KR), Chonnam National University Hospital (KR)
National Research Foundation, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 39%
Coronary Interventions and Diagnostics
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