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Needle-compatible miniaturized optoelectronic sensor for pancreatic cancer detection
Seung Yup Lee1, Julia M Pakela2,3, Kyounghwan Na4
1Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Science Advances
|November 21, 2020
Summary
This study introduces a novel miniaturized optoelectronic sensor for real-time pancreatic tissue analysis during endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA), improving diagnostic accuracy for pancreatic cancer.
Area of Science:
- Biomedical Engineering
- Optical Sensing
- Gastroenterology
Background:
- Pancreatic cancer has a poor prognosis with a 5-year survival rate below 10%.
- Current diagnostic methods like endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) rely on time-consuming cytology and are prone to sampling errors.
- Objective, real-time tissue evaluation is needed to improve pancreatic cancer diagnosis.
Purpose of the Study:
- To design and engineer a miniaturized optoelectronic sensor for in situ, real-time, and objective evaluation of human pancreatic tissues during EUS-FNA.
- To assess the feasibility and performance of this novel sensor technology.
Main Methods:
- A proof-of-concept prototype sensor was constructed using microsized optoelectronic chips and microfabrication techniques.
- The sensor was designed for compatibility with a standard 19-gauge hollow needle used in EUS-FNA.
- Multisite tissue optical sensing was performed using the fabricated sensor.
Main Results:
- Bench-top verification and pilot validation on human pancreatic tissues demonstrated comparable performance to previous fiber-based systems.
- The miniaturized sensor successfully performed optical sensing within a confined needle channel.
- The flexible design allows for various light-based sensing techniques.
Conclusions:
- The developed miniaturized optoelectronic sensor offers a promising tool for real-time, objective assessment of pancreatic tissues during EUS-FNA.
- This technology has the potential to overcome limitations of current diagnostic methods, improving the accuracy and efficiency of pancreatic cancer diagnosis.
- Further development could integrate this sensor into endoscopic procedures for enhanced diagnostic capabilities.

