Literature DB >> 27098321

Improved Accuracy of Component Positioning with Robotic-Assisted Unicompartmental Knee Arthroplasty: Data from a Prospective, Randomized Controlled Study.

Stuart W Bell1, Iain Anthony2, Bryn Jones2, Angus MacLean2, Philip Rowe3, Mark Blyth2.   

Abstract

BACKGROUND: Higher revision rates have been reported in patients who have undergone unicompartmental knee arthroplasty compared with patients who have undergone total knee arthroplasty, with poor component positioning identified as a factor in implant failure. A robotic-assisted surgical procedure has been proposed as a method of improving the accuracy of component implantation in arthroplasty. The aim of this prospective, randomized, single-blinded, controlled trial was to evaluate the accuracy of component positioning in unicompartmental knee arthroplasty comparing robotic-assisted and conventional implantation techniques.
METHODS: One hundred and thirty-nine patients were randomly assigned to treatment with either a robotic-assisted surgical procedure using the MAKO Robotic Interactive Orthopaedic Arm (RIO) system or a conventional surgical procedure using the Oxford Phase-3 unicompartmental knee replacement with traditional instrumentation. A postoperative computed tomographic scan was performed at three months to assess the accuracy of the axial, coronal, and sagittal component positioning.
RESULTS: Data were available for 120 patients, sixty-two who had undergone robotic-assisted unicompartmental knee arthroplasty and fifty-eight who had undergone conventional unicompartmental knee arthroplasty. Intraobserver agreement was good for all measured component parameters. The accuracy of component positioning was improved with the use of the robotic-assisted surgical procedure, with lower root mean square errors and significantly lower median errors in all component parameters (p < 0.01). The proportion of patients with component implantation within 2° of the target position was significantly greater in the group who underwent robotic-assisted unicompartmental knee arthroplasty compared with the group who underwent conventional unicompartmental knee arthroscopy with regard to the femoral component sagittal position (57% compared with 26%, p = 0.0008), femoral component coronal position (70% compared with 28%, p = 0.0001), femoral component axial position (53% compared with 31%, p = 0.0163), tibial component sagittal position (80% compared with 22%, p = 0.0001), and tibial component axial position (48% compared with 19%, p = 0.0009).
CONCLUSIONS: Robotic-assisted surgical procedures with the use of the MAKO RIO lead to improved accuracy of implant positioning compared with conventional unicompartmental knee arthroplasty surgical techniques. LEVEL OF EVIDENCE: Therapeutic Level I. See Instructions for Authors for a complete description of levels of evidence.
Copyright © 2016 by The Journal of Bone and Joint Surgery, Incorporated.

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Mesh:

Year:  2016        PMID: 27098321     DOI: 10.2106/JBJS.15.00664

Source DB:  PubMed          Journal:  J Bone Joint Surg Am        ISSN: 0021-9355            Impact factor:   5.284


  61 in total

1.  Computer-Assisted Orthopedic and Trauma Surgery.

Authors:  Timo Stübig; Henning Windhagen; Christian Krettek; Max Ettinger
Journal:  Dtsch Arztebl Int       Date:  2020-11-20       Impact factor: 5.594

Review 2.  [New technologies (robotics, custom-made) in unicondylar knee arthroplasty-pro].

Authors:  Malin Meier; Tilman Calliess; Carsten Tibesku; Johannes Beckmann
Journal:  Orthopade       Date:  2021-02       Impact factor: 1.087

3.  Robotics accuracy in orthopaedics: is it enough for a well-working knee replacement?

Authors:  Francesco Mancuso; Hemant Pandit
Journal:  Ann Transl Med       Date:  2016-10

4.  Robotic unicondylar knee arthroplasty: a commentary on a recently published level 1 study.

Authors:  Alexander H Jinnah; Ashley Multani; Riyaz H Jinnah; Johannes F Plate
Journal:  Ann Transl Med       Date:  2016-10

5.  Robotic-assisted versus standard unicompartmental knee arthroplasty-evaluation of manuscript conflict of interests, funding, scientific quality and bibliometrics.

Authors:  Leonardo Cavinatto; Michael J Bronson; Darwin D Chen; Calin S Moucha
Journal:  Int Orthop       Date:  2018-10-05       Impact factor: 3.075

Review 6.  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

7.  Robot-assisted vs. conventional unicompartmental knee arthroplasty : Systematic review and meta-analysis.

Authors:  Jun Fu; Yuning Wang; Xiang Li; Baozhan Yu; Ming Ni; Wei Chai; Libo Hao; Jiying Chen
Journal:  Orthopade       Date:  2018-12       Impact factor: 1.087

8.  Incidental findings detected on preoperative CT imaging obtained for robotic-assisted joint replacements: clinical importance and the effect on the scheduled arthroplasty.

Authors:  Gary Tran; Lafi S Khalil; Allen Wrubel; Chad L Klochko; Jason J Davis; Steven B Soliman
Journal:  Skeletal Radiol       Date:  2020-11-03       Impact factor: 2.199

Review 9.  Robotic-assisted surgery in medial unicompartmental knee arthroplasty: does it improve the precision of the surgery and its clinical outcomes? Systematic review.

Authors:  Roberto Negrín; Gonzalo Ferrer; Magaly Iñiguez; Jaime Duboy; Manuel Saavedra; Nicolas Reyes Larraín; Nicolas Jabes; Maximiliano Barahona
Journal:  J Robot Surg       Date:  2020-10-27

Review 10.  Robotics in trauma and orthopaedics.

Authors:  Karthik Karuppiah; Joydeep Sinha
Journal:  Ann R Coll Surg Engl       Date:  2018-05       Impact factor: 1.891

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