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Efficacy of robot arm-assisted endoscopic submucosal dissection in live porcine stomach (with video)
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Title
Efficacy of robot arm-assisted endoscopic submucosal dissection in live porcine stomach (with video)
Issued Date
2024-07
Citation
Kim, Joonhwan. (2024-07). Efficacy of robot arm-assisted endoscopic submucosal dissection in live porcine stomach (with video). Scientific Reports, 14(1). doi: 10.1038/s41598-024-63647-y
Type
Article
Author Keywords
Endoscopic mucosal resectionStomach neoplasmRobotic surgical procedureTractionAnimal experimentation
Keywords
DENTAL-FLOSSEX-VIVOMODELCLIPTRACTION DEVICE
ISSN
2045-2322
Abstract
Endoscopic submucosal dissection (ESD) is technically challenging and requires a high level of skill. However, there is no effective method of exposing the submucosal plane during dissection. In this study, the efficacy of robot arm-assisted tissue traction for gastric ESD was evaluated using an in vivo porcine model. The stomach of each pig was divided into eight locations. In the conventional ESD (C-ESD) group, one ESD was performed at each location (N = 8). In the robot arm-assisted ESD (R-ESD) group, two ESDs were performed at each location (N = 16). The primary endpoint was the submucosal dissection speed (mm2/s). The robot arm could apply tissue traction in the desired direction and successfully expose the submucosal plane during submucosal dissection in all lesion locations. The submucosal dissection speed was significantly faster in the R-ESD group than in the C-ESD group (p = 0.005). The blind dissection rate was significantly lower in the R-ESD group (P = 0.000). The robotic arm-assisted traction in ESD enabled a significant improvement in submucosal dissection speed, blind dissection rate which suggests the potential for making ESD easier and enhancing procedural efficiency and safety. © The Author(s) 2024.
URI
http://hdl.handle.net/20.500.11750/57427
DOI
10.1038/s41598-024-63647-y
Publisher
Nature Publishing Group
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황민호
Hwang, Minho황민호

Department of Robotics and Mechatronics Engineering

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