Literature DB >> 33133397

Robotic-Assisted Knee Arthroplasty (RAKA): The Technique, the Technology and the Transition.

Vaibhav Bagaria1, Omkar S Sadigale1, Prashant P Pawar1, Ravi K Bashyal2, Ajinkya Achalare1, Murali Poduval3.   

Abstract

BACKGROUND: There has been an exponential increase in knee arthroplasty over the past 20 years. This has led to a quest for improvement in outcomes and patient satisfaction. While the last decade of last century proved to be the decade for Computer-Assisted Surgery (CAS) or Computer Navigation wherein the technology demonstrated a clear benefit in terms of improving mechanical axis alignment and component positioning, this decade is likely to belong to Robotics. Robotics adds an independent dimension to the benefits that CAS offers. The article deals with the generation of robots, technical steps in robotics, advantages and downsides of robotics and way forward in the field of knee arthroplasty.
MATERIALS AND METHODS: The review article was designed and edited by six different authors reviewing 32 relevant pubmed-based articles related to robotics in arthroplasty and orthopaedics. The concept, design and the definition of the intellectual content were based on the internationally published literature and insightful articles. The review is also based on the clinical experimental studies published in the literature. DISCUSSION: The robotic arm is actively involved with surgeon to achieve the precision and outcomes that the surgeon aims for. With the concept of haptic boundaries and augmented reality being incorporated in most systems, Robotic Assisted Arthroplasty (RAA) is likely to offer several advantages. The potential advantages of these systems may include accuracy in gap balancing, component positioning, minimal bone resection, reduced soft tissue handling and trauma, patient anatomy specific resection, and real time feedback. They, however, come with their own downsides in terms of capital cost, learning curve, time consumption and unclear advantages in term of long-term clinical outcomes.
CONCLUSION: To conclude, this review article offers a balanced view on how the technology is impacting current arthroplasty practice and what can be expected in coming years. The commitment of almost all major implant manufacturers in investing in robotics likely means that the evolution of Robotic technology and this decade will be exciting with rapid strides revealing paradigm shift and evolution of technology with significant reductions of cost enabling it to be available universally. For technology to populate in operating room, I think it will be result of exposure of young surgeons to these computers and robotics, as they grow in with confidence with technology from residency days to offer better precision in future. © Indian Orthopaedics Association 2020.

Entities:  

Keywords:  Alignment; Component positioning; Computer assisted surgery (CAS); Knee arthroplasty; Robotic arthroplasty; Robotic surgery; Robotic-assisted knee arthroplasty (RAKA); UKR

Year:  2020        PMID: 33133397      PMCID: PMC7572961          DOI: 10.1007/s43465-020-00088-5

Source DB:  PubMed          Journal:  Indian J Orthop        ISSN: 0019-5413            Impact factor:   1.251


  27 in total

1.  Minimally invasive 3D data registration in computer and robot assisted total knee arthroplasty.

Authors:  P F La Palombara; M Fadda; S Martelli; M Marcacci
Journal:  Med Biol Eng Comput       Date:  1997-11       Impact factor: 2.602

2.  Robotic guidance does not improve component position or short-term outcome in medial unicompartmental knee arthroplasty.

Authors:  Dane C Hansen; Sharat K Kusuma; Ryan M Palmer; Kira B Harris
Journal:  J Arthroplasty       Date:  2014-04-18       Impact factor: 4.757

3.  Impact of the economic downturn on total joint replacement demand in the United States: updated projections to 2021.

Authors:  Steven M Kurtz; Kevin L Ong; Edmund Lau; Kevin J Bozic
Journal:  J Bone Joint Surg Am       Date:  2014-04-16       Impact factor: 5.284

Review 4.  Robotics in Arthroplasty: A Comprehensive Review.

Authors:  David J Jacofsky; Mark Allen
Journal:  J Arthroplasty       Date:  2016-05-18       Impact factor: 4.757

Review 5.  The Evolution of Image-Free Robotic Assistance in Unicompartmental Knee Arthroplasty.

Authors:  Jess H Lonner; Vincent M Moretti
Journal:  Am J Orthop (Belle Mead NJ)       Date:  2016 May-Jun

6.  Technology-Assisted Hip and Knee Arthroplasties: An Analysis of Utilization Trends.

Authors:  Matthew Boylan; Kelly Suchman; Jonathan Vigdorchik; James Slover; Joseph Bosco
Journal:  J Arthroplasty       Date:  2017-11-29       Impact factor: 4.757

7.  Simultaneous bilateral total knee arthroplasty with robotic and conventional techniques: a prospective, randomized study.

Authors:  Eun-Kyoo Song; Jong-Keun Seon; Sang-Jin Park; Woo Bin Jung; Hyeong-Won Park; Geon Woo Lee
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2011-02-11       Impact factor: 4.342

8.  Improved Survival of Computer-Assisted Unicompartmental Knee Arthroplasty: 252 Cases With a Minimum Follow-Up of 5 Years.

Authors:  Majid Chowdhry; Raghbir S Khakha; Mark Norris; Amin Kheiran; Sandeep K Chauhan
Journal:  J Arthroplasty       Date:  2016-11-23       Impact factor: 4.757

9.  Why are total knee arthroplasties failing today--has anything changed after 10 years?

Authors:  Peter F Sharkey; Paul M Lichstein; Chao Shen; Anthony T Tokarski; Javad Parvizi
Journal:  J Arthroplasty       Date:  2014-07-05       Impact factor: 4.757

10.  Robotic arm-assisted versus conventional unicompartmental knee arthroplasty: Exploratory secondary analysis of a randomised controlled trial.

Authors:  M J G Blyth; I Anthony; P Rowe; M S Banger; A MacLean; B Jones
Journal:  Bone Joint Res       Date:  2017-11       Impact factor: 5.853

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  2 in total

1.  A single type of varus knee does not exist: morphotyping and gap analysis in varus OA.

Authors:  Heiko Graichen; Kreangsak Lekkreusuwan; Kim Eller; Thomas Grau; Michael T Hirschmann; Wolfgang Scior
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2021-08-19       Impact factor: 4.114

2.  Augmented Intelligence in Joint Replacement Surgery: How can artificial intelligence (AI) bridge the gap between the man and the machine?

Authors:  Vaibhav Bagaria; Anjali Tiwari
Journal:  Arthroplasty       Date:  2022-02-02
  2 in total

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