Abstract
Lymphadenectomy is frequently performed as a surgical treatment for cancer. Lymph nodes grow inside fat and have similar color as fat, making them difficult to detect. In Robotic Assisted Minimally Invasive Surgery (RAMIS), it can be even more challenging due to the lack of haptic feedback. This study proposes a novel method to measure the electrical property of a target tissue site and determine whether a lymph node is present underneath through an Artificial Neural Network classifier. The proposed system and method are built, analyzed, and evaluated based on simulation and ex vivo tissue phantom experiments. The experimental results show a very high accuracy (93.49 %) in detecting a lymph node that is embedded deep inside fat. Given the promising results and the portability of the proposed system, we believe it has great potential to improve the quality of related surgical procedures.
Original language | English |
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Title of host publication | 2021 International Symposium on Medical Robotics (ISMR) |
Number of pages | 6 |
Publisher | IEEE |
Publication date | Nov 2021 |
ISBN (Electronic) | 978-1-6654-0622-2 |
DOIs | |
Publication status | Published - Nov 2021 |
Event | 2021 International Symposium on Medical Robotics (ISMR) - Georgia Tech, Atlanta, United States Duration: 17. Nov 2021 → 19. Nov 2021 http://www.ismr.gatech.edu/ |
Conference
Conference | 2021 International Symposium on Medical Robotics (ISMR) |
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Location | Georgia Tech |
Country/Territory | United States |
City | Atlanta |
Period | 17/11/2021 → 19/11/2021 |
Internet address |
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Dive into the research topics of 'Lymph Node Detection Using Robot Assisted Electrical Impedance Scanning and an Artificial Neural Network'. Together they form a unique fingerprint.Related prizes
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Best Student Paper Award
Årsvold, A. T. (Recipient), Zeltner, A. S. (Recipient), Cheng, Z. (Recipient), Schwaner, K. L. (Recipient), Jensen, P. T. (Recipient) & Savarimuthu, T. R. (Recipient), 19. Nov 2021
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