Developing a Computational Model of Renal Nerves and Surgical System for Laparoscopic Renal Denervation

Eunbi Ye, Seung Hyun Lee, Jinhwan Baik, Seon Young Ryu, Won Hoon Song, Eue Keun Choi, Chang Wook Jeong, Sung Min Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The sympathetic nervous system was known to play an important role in resistant hypertension. Surgical sympathectomy for renal sympathetic nerve removal were performed since the 1930s. Although effective, it had many serious side effects and complications due to non-selective property. Recently, catheter based RDN system using radiofrequency (RF) ablation was developed and considered promising, however, it failed in sham controlled trial. Therefore, there are needs for safe and effective RDN strategies considering the anatomical structure of the renal arteries and sympathetic nerves. In this paper, we propose a novel surgical instruments for laparoscopic renal denervation (RDN) to treat of resistant hypertension through a 3D realistic model using nephrectomy tissues. Laparoscopic RDN is a new surgical approach to remove renal sympathetic nerves.

Original languageEnglish
Title of host publication40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4524-4527
Number of pages4
ISBN (Electronic)9781538636466
DOIs
StatePublished - 26 Oct 2018
Event40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States
Duration: 18 Jul 201821 Jul 2018

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2018-July
ISSN (Print)1557-170X

Other

Other40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Country/TerritoryUnited States
CityHonolulu
Period18/07/1821/07/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

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