Literature DB >> 21969424

Robotic systems in orthopaedic surgery.

J E Lang1, S Mannava, A J Floyd, M S Goddard, B P Smith, A Mofidi, T M Seyler, R H Jinnah.   

Abstract

Robots have been used in surgery since the late 1980s. Orthopaedic surgery began to incorporate robotic technology in 1992, with the introduction of ROBODOC, for the planning and performance of total hip replacement. The use of robotic systems has subsequently increased, with promising short-term radiological outcomes when compared with traditional orthopaedic procedures. Robotic systems can be classified into two categories: autonomous and haptic (or surgeon-guided). Passive surgery systems, which represent a third type of technology, have also been adopted recently by orthopaedic surgeons. While autonomous systems have fallen out of favour, tactile systems with technological improvements have become widely used. Specifically, the use of tactile and passive robotic systems in unicompartmental knee replacement (UKR) has addressed some of the historical mechanisms of failure of non-robotic UKR. These systems assist with increasing the accuracy of the alignment of the components and produce more consistent ligament balance. Short-term improvements in clinical and radiological outcomes have increased the popularity of robot-assisted UKR. Robot-assisted orthopaedic surgery has the potential for improving surgical outcomes. We discuss the different types of robotic systems available for use in orthopaedics and consider the indication, contraindications and limitations of these technologies.

Mesh:

Year:  2011        PMID: 21969424     DOI: 10.1302/0301-620X.93B10.27418

Source DB:  PubMed          Journal:  J Bone Joint Surg Br        ISSN: 0301-620X


  45 in total

1.  The limits of precision in conventionally instrumented computer-navigated total knee arthroplasty.

Authors:  R E da Assunção; N J Hancock; W J M Bruce; P Walker
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2012-03-23       Impact factor: 4.342

2.  The effectiveness of robotic hip and knee arthroplasty on patient-reported outcomes: A systematic review and meta-analysis.

Authors:  Sascha Karunaratne; Michael Duan; Evangelos Pappas; Brett Fritsch; Richard Boyle; Sanjeev Gupta; Paul Stalley; Mark Horsley; Daniel Steffens
Journal:  Int Orthop       Date:  2018-09-15       Impact factor: 3.075

3.  [Digitalization and artificial intelligence in orthopedics and traumatology].

Authors:  K Harren; F Dittrich; F Reinecke; M Jäger
Journal:  Orthopade       Date:  2018-12       Impact factor: 1.087

Review 4.  Component Placement Accuracy in Unicompartmental Knee Arthroplasty Is Improved with Robotic-Assisted Surgery: Will It Have an Effect on Outcomes?

Authors:  Ryan C Rauck; Jason L Blevins; Michael B Cross
Journal:  HSS J       Date:  2017-12-11

5.  CORR Insights®: Does Robotic Milling For Stem Implantation in Cementless THA Result in Improved Outcomes Scores or Survivorship Compared with Hand Rasping? Results of a Randomized Trial at 10 Years.

Authors:  Michael Tanzer
Journal:  Clin Orthop Relat Res       Date:  2018-11       Impact factor: 4.176

6.  Assessment of accuracy of robotically assisted unicompartmental arthroplasty.

Authors:  Ali Mofidi; Johannes F Plate; Bo Lu; Michael A Conditt; Jason E Lang; Gary G Poehling; Riyaz H Jinnah
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2014-04-18       Impact factor: 4.342

Review 7.  Prevalence of haptic feedback in robot-mediated surgery: a systematic review of literature.

Authors:  Farshid Amirabdollahian; Salvatore Livatino; Behrad Vahedi; Radhika Gudipati; Patrick Sheen; Shan Gawrie-Mohan; Nikhil Vasdev
Journal:  J Robot Surg       Date:  2017-12-01

8.  Short-term outcomes of robotically assisted patello-femoral arthroplasty.

Authors:  Ugur Turktas; Ahmet Piskin; Gary G Poehling
Journal:  Int Orthop       Date:  2015-05-05       Impact factor: 3.075

9.  Co-localized augmented human and X-ray observers in collaborative surgical ecosystem.

Authors:  Javad Fotouhi; Mathias Unberath; Tianyu Song; Jonas Hajek; Sing Chun Lee; Bastian Bier; Andreas Maier; Greg Osgood; Mehran Armand; Nassir Navab
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-07-26       Impact factor: 2.924

10.  A systematic approach to predicting the risk of unicompartmental knee arthroplasty revision.

Authors:  G Zhang; B P Smith; J F Plate; R Casanova; F-C Hsu; J Li; L Xia; K C Li; G G Poehling; X Zhou
Journal:  Osteoarthritis Cartilage       Date:  2016-01-14       Impact factor: 6.576

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