Current State of Computer Navigation and Robotics in Unicompartmental and Total Knee Arthroplasty: a Systematic Review with Meta-Analysis
Abstract
Recently, there is a growing interest in surgical variables that are intraoperatively controlled by orthopaedic surgeons, including lower leg alignment, component positioning and soft tissues balancing. Since more tight control over these factors is associated with improved outcomes of unicompartmental knee arthroplasty and total knee arthroplasty (TKA), several computer navigation and robotic-assisted systems have been developed. Although mechanical axis accuracy and component positioning have been shown to improve with computer navigation, no superiority in functional outcomes has yet been shown. This could be explained by the fact that many differences exist between the number and type of surgical variables these systems control. Most systems control lower leg alignment and component positioning, while some in addition control soft tissue balancing. Finally, robotic-assisted systems have the additional advantage of improving surgical precision. A systematic search in PubMed, Embase and Cochrane Library resulted in 40 comparative studies and three registries on computer navigation reporting outcomes of 474,197 patients, and 21 basic science and clinical studies on robotic-assisted knee arthroplasty. Twenty-eight of these comparative computer navigation studies reported Knee Society Total scores in 3504 patients. Stratifying by type of surgical variables, no significant differences were noted in outcomes between surgery with computer-navigated TKA controlling for alignment a…
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Surgical navigation promotes reproducibly good patient outcomes, and when combined with robotic assistance systems, may enable novel treatment options and improved techniques.
“Surgical navigation promotes reproducibly good patient outcomes, and when combined with robotic assistance systems, may enable novel treatment options and improved techniques (van der List et al., 2016).”
From The Impact of Machine Learning on 2D/3D Registration for Image-Guided Interventions: A Systematic Review and Perspective (2021) · cites this paper as van der List et al., 2016
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- Authors
- van der List, J. P., Chawla, H., Joskowicz, L., & Pearle, A. D.
- Affiliations
- Department of Orthopaedic Surgery Computer Assisted Surgery Center Hospital for Special Surgery Weill Medical College of Cornell University 535 E. 70th Street 10021 New York NY USA
- Hospital for Special Surgery (US)
- Computer Assisted Surgery and Medical Image Processing Laboratory School of Engineering and Computer Science Hebrew University Jerusalem Israel
- Venue
- Knee Surgery, Sports Traumatology, Arthroscopy
- Publisher
- Wiley
- Published
- 2016-09-06
- Volume
- 24
- Issue
- 11
- Pages
- 3482-3495
- ISSN
- 0942-2056 (ISSN-L)
- 1433-7347
- OpenAlex
- W2509978340
- Cited by
- 200
- References
- 146
- Citations by year
- 2026: 12 · 2025: 23 · 2024: 15 · 2023: 15 · 2022: 30 · 2021: 30 · 2020: 23 · 2019: 15 · 2018: 19 · 2017: 15 · 2016: 3
- FWCI
- 3.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Knee Surgery Sports Traumatology Arthroscopy (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Surgery › Total Knee Arthroplasty Outcomes
- Health Sciences › Medicine › Surgery › Knee injuries and reconstruction techniques
- Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
- Keywords
- computer-assisted navigation, robotic surgery, unicompartmental knee arthroplasty, total knee arthroplasty, component placement, soft tissue balancing, Knee Society Score, functional outcome
- MeSH terms
- Humans, Knee Joint, Registries, Treatment Outcome, Arthroplasty, Replacement, Knee, Osteoarthritis, Knee, Surgery, Computer-Assisted, Patient Positioning, Robotic Surgical Procedures
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