Operation evaluation in-human of a novel remote-controlled vascular interventional robot

  • Xianqiang Bao
  • Shuxiang Guo
  • Nan Xiao
  • Youxiang Li
  • Cheng Yang
  • Rui Shen
  • Jinxin Cui
  • Yuhua Jiang
  • Xinke Liu
  • Keyun Liu
Article
  • 38 Downloads

Abstract

Remote-controlled vascular interventional robots (RVIRs) are being developed to increase the accuracy of surgical operations and reduce the number of occupational risks sustained by intervening physicians, such as radiation exposure and chronic neck/back pain. However, complex control of the RVIRs improves the doctor’s operation difficulty and reduces the operation efficiency. Furthermore, incomplete sterilization of the RVIRs will increase the risk of infection, or even cause medical accidents. In this study, we introduced a novel method that provides higher operation efficiency than a previous prototype and allows for complete robot sterilization. A prototype was fabricated and validated through laboratory setting experiments and an in-human experiment. The results illustrated that the proposed RVIR has better performance compared with the previous prototype, and preliminarily demonstrated that the proposed RVIR has good safety and reliability and can be used in clinical surgeries.

Keywords

Minimally invasive surgery Remote-controlled vascular interventional robot (RVIR) In-human experiment Clinical operation Cooperation of catheters and guidewires 

Notes

Acknowledgements

This research is supported by National High-tech Research and Development Program (863 Program) of China (2015AA043202), and National Key Research and Development Program of China (2017YFB1304401).

Compliance with Ethical Standards

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Key Laboratory of Convergence Medical Engineering System and Healthcare Technology, Ministry of Industry and Information TechnologyBeijing Institute of TechnologyBeijingChina
  2. 2.Intelligent Mechanical Systems Engineering DepartmentKagawa UniversityTakamatsuJapan
  3. 3.Department of Interventional Neuroradiology, Beijing Engineering Technology Research Center for Interventional Neuroradiology, and Beijing Neurosurgical Institute, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina

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