Literature DB >> 25370874

Computer-assisted and robotic surgery in orthopedics: where we are in 2014.

Vipool K Goradia1.   

Abstract

Successful outcomes after orthopedic surgical procedures are believed to be highly dependent on reproducible anatomic accuracy. Immediate intraoperative feedback helps surgeons to achieve this accuracy as has been demonstrated with the use of fluoroscopy. Non-image-based computer navigation has been used in joint arthroplasty, anterior cruciate ligament reconstruction, high tibial osteotomy, and cartilage procedures along with applications in hip and shoulder arthroscopy. Most short-term studies have demonstrated superior accuracy when compared with conventional techniques; however, very few studies have shown better clinical outcomes. Robotic-assisted surgery has been most popular in total and unicompartmental arthroplasty, which again has greater accuracy but similar clinical outcomes when compared with conventional techniques. Economic analyses indicate that these high-cost technologies may only be cost-effective in high-volume centers. Other studies have shown that computer navigation improves the accuracy of lower volume surgeons to a greater degree than higher volume surgeons allowing the former to have results similar to the latter.

Entities:  

Mesh:

Year:  2014        PMID: 25370874     DOI: 10.1097/JSA.0000000000000047

Source DB:  PubMed          Journal:  Sports Med Arthrosc Rev        ISSN: 1062-8592            Impact factor:   1.985


  14 in total

1.  Tibial baseplate positioning in robotic-assisted and conventional unicompartmental knee arthroplasty.

Authors:  Katherine P MacCallum; Jonathan R Danoff; Jeffrey A Geller
Journal:  Eur J Orthop Surg Traumatol       Date:  2015-10-06

2.  Inter-observer variability and its correlation to experience in measurement of lower limb mechanical axis on long leg radiographs.

Authors:  Raju Vaishya; Vipul Vijay; Vikas P Birla; Amit Kumar Agarwal
Journal:  J Clin Orthop Trauma       Date:  2016-06-11

3.  Future perspective of CAS in orthopaedics.

Authors:  S Zaffagnini; K Deep; N Confalonieri
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2016-07-12       Impact factor: 4.342

4.  Influence of multi-angle input of intraoperative fluoroscopic images on the spatial positioning accuracy of the C-arm calibration-based algorithm of a CAOS system.

Authors:  Xiangqian Chen; Yu Wang; Gang Zhu; Weijun Zhang; Gang Zhou; Yubo Fan
Journal:  Med Biol Eng Comput       Date:  2020-01-09       Impact factor: 2.602

5.  Robotic-assisted total knee arthroplasty may lead to improvement in quality-of-life measures: a 2-year follow-up of a prospective randomized trial.

Authors:  Ming Han Lincoln Liow; Graham Seow-Hng Goh; Merng Koon Wong; Pak Lin Chin; Darren Keng-Jin Tay; Seng-Jin Yeo
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2016-03-26       Impact factor: 4.342

6.  Making the transition from traditional to robotic-arm assisted TKA: What to expect? A single-surgeon comparative-analysis of the first-40 consecutive cases.

Authors:  Qais Naziri; Barry C Cusson; Moiuz Chaudhri; Neil V Shah; Akhilesh Sastry
Journal:  J Orthop       Date:  2019-03-22

Review 7.  Computer-Assisted Navigation in High Tibial Osteotomy.

Authors:  Sang Jun Song; Dae Kyung Bae
Journal:  Clin Orthop Surg       Date:  2016-11-04

8.  A Smart Tool for Intraoperative Leg Length Targeting in Total Hip Arthroplasty: A Retrospective Cohort Study.

Authors:  Paul Grosso; Matthew Snider; Jeffrey M Muir
Journal:  Open Orthop J       Date:  2016-09-30

9.  What do we get from navigation in primary THA?

Authors:  Lisa Renner; Viktor Janz; Carsten Perka; Georgi I Wassilew
Journal:  EFORT Open Rev       Date:  2017-03-13

Review 10.  Current use of navigation system in ACL surgery: a historical review.

Authors:  S Zaffagnini; F Urrizola; C Signorelli; A Grassi; T Roberti Di Sarsina; G A Lucidi; G M Marcheggiani Muccioli; T Bonanzinga; M Marcacci
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2016-10-15       Impact factor: 4.342

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