Lymph Node Detection Using Robot Assisted Electrical Impedance Scanning and an Artificial Neural Network

Alex Tinggaard Årsvold, Andreas Sørensen Zeltner, Zhuoqi Cheng*, Kim Lindberg Schwaner, Pernille Tine Jensen, Thiusius Rajeeth Savarimuthu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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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 languageEnglish
Title of host publication2021 International Symposium on Medical Robotics (ISMR)
Number of pages6
PublisherIEEE
Publication dateNov 2021
ISBN (Electronic)978-1-6654-0622-2
DOIs
Publication statusPublished - Nov 2021
Event2021 International Symposium on Medical Robotics (ISMR) - Georgia Tech, Atlanta, United States
Duration: 17. Nov 202119. Nov 2021
http://www.ismr.gatech.edu/

Conference

Conference2021 International Symposium on Medical Robotics (ISMR)
LocationGeorgia Tech
Country/TerritoryUnited States
CityAtlanta
Period17/11/202119/11/2021
Internet address

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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

    Prize: Prizes, scholarships, distinctions

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