Award Abstract # 2325222
I-Corps: A Minimally Invasive Palpation Device for Intraoperative Tumor Detection

NSF Org: TI
Translational Impacts
Recipient: THE TRUSTEES OF THE STEVENS INSTITUTE OF TECHNOLOGY
Initial Amendment Date: June 13, 2023
Latest Amendment Date: June 13, 2023
Award Number: 2325222
Award Instrument: Standard Grant
Program Manager: Ruth Shuman
rshuman@nsf.gov
 (703)292-2160
TI
 Translational Impacts
TIP
 Directorate for Technology, Innovation, and Partnerships
Start Date: May 15, 2023
End Date: October 31, 2024 (Estimated)
Total Intended Award Amount: $50,000.00
Total Awarded Amount to Date: $50,000.00
Funds Obligated to Date: FY 2023 = $50,000.00
History of Investigator:
  • Jinho Kim (Principal Investigator)
    jkim6@stevens.edu
Recipient Sponsored Research Office: Stevens Institute of Technology
ONE CASTLE POINT ON HUDSON
HOBOKEN
NJ  US  07030-5906
(201)216-8762
Sponsor Congressional District: 08
Primary Place of Performance: Stevens Institute of Technology
1 CASTLE POINT ON HUDSON
HOBOKEN
NJ  US  07030-5906
Primary Place of Performance
Congressional District:
08
Unique Entity Identifier (UEI): JJ6CN5Y5A2R5
Parent UEI:
NSF Program(s): I-Corps
Primary Program Source: 01002324DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 5345
Program Element Code(s): 802300
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.084

ABSTRACT

The broader impact/commercial potential of this I-Corps project is the development of intraoperative robotic palpation device that can significantly improve the outcome of cancer treatment. A major problem that our device intends to solve is that tumors with sub-centimeter in their size are difficult to identify via preoperative imaging and during minimally invasive intraoperative procedures. Our robotic palpation device can be deployed into the patient?s body and quickly generate a tissue stiffness map at the pathologic region with a high spatial resolution. By enabling precise and prompt detection of tumors, regardless of their size, this technology can significantly enhance the outcomes of tumor resection surgery. This technology has a wide range of potential applications beyond intraoperative tumor detection. It has the capability to identify diseased tissues, including fibrotic tissues, whose physical characteristics have undergone alterations. Altogether, this cutting-edge technology has the unparalleled ability to identify diseased tissues, providing invaluable quantitative information to empower clinicians to confidently make data-driven decisions about the most effective treatment strategies.

This I-Corps project is based on the development of a robotic palpation device that can help surgeons to detect tumors during minimally invasive robot-assisted cancer treatment surgery. In open chest surgery, surgeons frequently rely on manual palpation to detect tumors that may not be visible on imaging techniques, such as X-ray, CT, or MRI, especially those small than 1 cm. However, a persistent technical challenge involving the robot-assisted surgery is the surgeon?s inability to touch and feel the tissues during the surgery. As a result of the surgeon?s loss of tactile sensation, small tumors can remain undetected, leading to incomplete tumor removal that can cause cancer progression, recurrence, and metastasis. This innovation is a ?robotic finger? that can be deployed into the patient?s body during surgery and survey the pathologic tissue areas to generate a tissue stiffness map that is correlated to the presence of tumorous tissues that must be removed surgically. This innovation will offer surgeons the ability to pinpoint all tumors with substantially improved accuracy and resolution, ultimately leading to improved patient outcomes and a reduction in cancer recurrence and metastasis.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Mir, Mohammad and Chen, Jiawen and Patel, Aneri and Pinezich, Meghan R. and Guenthart, Brandon A. and Vunjak-Novakovic, Gordana and Kim, Jinho "A Minimally Invasive Robotic Tissue Palpation Device" IEEE Transactions on Biomedical Engineering , 2024 https://doi.org/10.1109/TBME.2024.3357293 Citation Details

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

In 2023, The Trustees Of The Stevens Institute Of Technology received $50,000 National Science Foundation I-Corps award entitled "A Minimally Invasive Palpation Device for Intraoperative Tumor Detection". The I-Corps project was led by Dr. Jinho Kim (Project Director/Principal Investigator; PD/PI) in the Department of Biomedical Engineering at Stevens Institute of Technology. The goal of the project was to investigate the product-market fit for the BullsEYE Robotic Finger medical device. This device is designed to assist the surgeons performing minimally invasive and robot-assisted cancer resection surgeries to accurately and rapidly detect tumors in the operating rooms. By systematically interviewing key stakeholders, including surgeons, hospital administrators, and industry experts, the team aimed to validate the market demand for more precise intraoperative tumor detection and refine its commercialization strategy.

Intellectual Merit

Throughout this project, the team conducted extensive "customer discovery" interviews with more than 100 stakeholders, primarily surgeons who specialize in minimally invasive and robot-assisted procedures. Their firsthand insight confirmed the unmet need for innovative technologies to identify tumors in the operating rooms. Surgeons described frequent difficulties with locating small tumors or defining tumor boundaries during the surgery, a limitation exacerbated by robotic systems that lack the sensitivity of human touch. Additionally, many surgeons cited the mismatch between pre-operative imaging (such as MRI or CT scans) and the actual state of the organ during surgery, making it even harder to pinpoint tumor locations. By applying the principles of device engineering, robotics, and medical imaging, we refined our business model and identified strategies for effective integrating the BullsEYE Robotic Finger into existing hospital procedures. These research activities allowed us to validate our technology's market potential, paving the way for further research, clinical, and commercial development.

Broader Impacts

The broader impacts of our work include patient care, healthcare economics, and educational advancement. Once commercialized, the BullsEYE Robotic Finger has the potential to improve surgical precision and reduce the frequency of follow-up operations, leading not only to improved patient outcomes but also lower healthcare costs by minimizing hospital stays and repeat surgeries. During interviews, surgeons expressed enthusiasm for a product that could both speed up the surgical process and help preserve healthy tissues, resulting in quicker recoveries and less emotional distress for patients and their families.

This project has also fostered collaborations between engineers, surgeons, hospital administrators, and regulatory experts at institutions across the country. Several surgeons have offered to test our device prototype in operating rooms for future clinical trials, a key step toward obtaining regulatory approval. On the educational side, our team benefited from professional development through investor pitch events, national and regional I-Corps programs, and workshops. These experiences sharpened our entrepreneurial skills and allowed us to mentor other academic researchers interested in bringing their innovations to the marketplace.

In summary, our work on the BullsEYE Robotic Finger has demonstrated both scientific viability and clinical promise. By combining robust technical research with real-world feedback from practicing surgeons, the team aims to develop a technology that can significantly enhance the safety, accuracy, and cost-effectiveness of robot-assisted surgery. As we move forward with plans for clinical studies and regulatory submissions, the team remain committed to inspiring the next generation of innovators in the field of biomedical engineering.

 


Last Modified: 02/19/2025
Modified by: Jinho Kim

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