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Pilot Study of Trans-oral Robotic-Assisted Needle Direct Tracheostomy Puncture in Patients Requiring Prolonged Mechanical Ventilation.
Xiao, Xiao; Poon, Howard; Lim, Chwee Ming; Meng, Max Q-H; Ren, Hongliang.
  • Xiao X; Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China.
  • Poon H; Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore.
  • Lim CM; National University of Singapore (Suzhou) Research Institute, Suzhou, China.
  • Meng MQ; Department of Otolaryngology-Head and Neck Surgery, National University Hospital, Singapore, Singapore.
  • Ren H; Department of Otolaryngology-Head and Neck Surgery, National University Hospital, Singapore, Singapore.
Front Robot AI ; 7: 575445, 2020.
Article in English | MEDLINE | ID: covidwho-1050578
ABSTRACT
COVID-19 can induce severe respiratory problems that need prolonged mechanical ventilation in the intensive care unit. While Open Tracheostomy (OT) is the preferred technique due to the excellent visualization of the surgical field and structures, Percutaneous Tracheostomy (PT) has proven to be a feasible minimally invasive alternative. However, PT's limitation relates to the inability to precisely enter the cervical trachea at the exact spot since the puncture is often performed based on crude estimation from anatomical laryngeal surface landmarks. Besides, there is no absolute control of the trajectory and force required to make the percutaneous puncture into the trachea, resulting in inadvertent injury to the cricoid ring, cervical esophagus, and vessels in the neck. Therefore, we hypothesize that a flexible mini-robotic system, incorporating the robotic needling technology, can overcome these challenges by allowing the trans-oral robotic instrument of the cervical trachea. This approach promises to improve current PT technology by making the initial trachea puncture from an "inside-out" approach, rather than an "outside-in" manner, fraught with several technical uncertainties.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Front Robot AI Year: 2020 Document Type: Article Affiliation country: Frobt.2020.575445

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Front Robot AI Year: 2020 Document Type: Article Affiliation country: Frobt.2020.575445