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April 1, 2026Microsystems & Nanoengineering2 citationsOpen Access

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

JWJinliang WeiASArunkumar ShanmugasundaramNONomin‐Erdene Oyunbaatar

Key Result

The wireless sensor-integrated bioresorbable stent accurately measured fractional flow reserve in a vascular phantom, demonstrating high correlation (R² = 0.97) with a commercial system.

Key Points

  • The aim is to develop a bioresorbable smart stent for continuous monitoring of vascular pressure and fractional flow reserve.
  • Developed a hybrid 3D-printed stent made of polycaprolactone and polylactic acid.
  • Integrated a MEMS-based LC pressure sensor for real-time monitoring of intravascular pressure.
  • Conducted in vitro tests to validate the device's wireless operation and sensitivity.
  • The pressure sensors achieved a resonance frequency of 82.2 ± 1.7 MHz.
  • Demonstrated a high sensitivity of 37.48 ± 2.13 kHz/mmHg in pressure measurements.
  • The fractional flow reserve values matched closely with a commercial system (R² = 0.97) across different stenosis levels.

Structured PICO

P
Population
In vitro vascular phantom model and 100 fabricated MEMS-based LC pressure sensors
I
Intervention
Bioresorbable smart stent platform integrating dual MEMS-based LC pressure sensors (SU-8 and gold) onto a hybrid 3D-printed vascular stent (PCL and PLA)
C
Comparator
Commercial FFR system
O
Outcome
Accuracy of real-time intravascular pressure sensing and continuous FFR monitoring (resonance frequency, sensitivity, and correlation with commercial FFR)surrogate

A novel bioresorbable smart stent with integrated wireless pressure sensors accurately measured FFR in an in vitro vascular phantom, demonstrating potential for continuous, non-invasive monitoring of in-stent restenosis.

Main Result

Effect estimate: R² = 0.97

Limitations

  • Challenges remain in achieving controlled corrosion kinetics, preserving electrical performance during degradation, and ensuring long-term signal fidelity for fully bioresorbable systems.

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.

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Cite This Study

Wei et al. (2026) studied In-stent restenosis. Wireless sensor-integrated bioresorbable stent vs. Commercial FFR system was evaluated on Fractional flow reserve (FFR) measurement accuracy (R² = 0.97). The wireless sensor-integrated bioresorbable stent accurately measured fractional flow reserve in a vascular phantom, demonstrating high correlation (R² = 0.97) with a commercial system.

synapsesocial.com/papers/69cd79e15652765b073a6b56https://doi.org/10.1038/s41378-026-01182-8
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