Literature DB >> 29870847

State of Robotic Mastoidectomy: Literature Review.

Nirmeen Zagzoog1, Victor X D Yang2.   

Abstract

Over the past 30 years, the application of robotics in the field of neurotology has grown. Robots are able to perform increasingly complex tasks with ever improving accuracy, allowing them to be used in a broad array of applications. A mastoidectomy, in which a drill is used to remove a portion of the mastoid part of the temporal bone at the base of the skull, is one such application. To determine the current state of neurotologic robotics in the specific context of mastoidectomy, a review of the literature was carried out. This qualitative review explores what has been done in this field to date, as well as what has yet to be done. Although the research suggests that robotics can be and has been successfully used to assist with mastoidectomy, it also suggests the incompleteness of robotic development in the field. At present, only 2 robotic systems have been approved by the U.S. Food and Drug Administration for neurosurgical use and the literature lacks evidence of meaningful clinical testing of new systems to change that. The cost of robotics also remains prohibitive. However, strides have been made, with at least 1 robot for mastoidectomy having reached the point of cadaveric trials. In addition, the research suggests some of the characteristics that should be considered when designing robots for mastoidectomy, such as burr size and the type of forces that should be applied. Overall, the outlook for robots in neurotology, particularly mastoidectomy, is bright but some hurdles still remain to be overcome. Crown
Copyright © 2018. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Craniotomy; Drills; Mastoidectomy; Neurotology; Otology; Robotics; Robots

Mesh:

Year:  2018        PMID: 29870847     DOI: 10.1016/j.wneu.2018.05.194

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  1 in total

1.  Robotic laser osteotomy through penscriptive structured light visual servoing.

Authors:  Jamil Jivraj; Ryan Deorajh; Phillips Lai; Chaoliang Chen; Nhu Nguyen; Joel Ramjist; Victor X D Yang
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-02-07       Impact factor: 2.924

  1 in total

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