Literature DB >> 17920465

Comparison of limb and component alignment using computer-assisted navigation versus image intensifier-guided conventional total knee arthroplasty: a prospective, randomized, single-surgeon study of 467 knees.

Arun Mullaji1, Raj Kanna, Satyajit Marawar, Anirudh Kohli, Amit Sharma.   

Abstract

Total knee arthroplasty was performed in 282 knees with image-free navigation (group A) and in 185 with optimized conventional technique (group B). Mean postoperative mechanical axis of the limb was 179.7 degrees in group A and 179.1 degrees in group B (P < .002). There was a higher percentage of knees in group A that had restoration of mechanical axis to +/-1 degrees, +/-2 degrees, and +/-3 degrees of neutral (P < .0001). There were 9.2% outliers (+/-3 degrees) in group A and 21.6% outliers in group B (P < .0001). For knees exceeding 20 degrees varus, there was no significant difference between the mean mechanical axes in the 2 groups. Both components were aligned within 3 degrees of neutral in 90.8% of the knees in group A and 76.2% of the knees in group B (P < .0001).

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Mesh:

Year:  2007        PMID: 17920465     DOI: 10.1016/j.arth.2007.04.030

Source DB:  PubMed          Journal:  J Arthroplasty        ISSN: 0883-5403            Impact factor:   4.757


  25 in total

Review 1.  Alignment outcomes in navigated total knee arthroplasty: a meta-analysis.

Authors:  Yonghui Fu; Mingming Wang; Yifeng Liu; Qin Fu
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2011-10-15       Impact factor: 4.342

2.  Imageless computer assisted versus conventional total knee replacement. A Bayesian meta-analysis of 23 comparative studies.

Authors:  Yaron S Brin; Vassilios S Nikolaou; Lawrence Joseph; David J Zukor; John Antoniou
Journal:  Int Orthop       Date:  2010-04-08       Impact factor: 3.075

3.  Joint line changes after primary total knee arthroplasty: navigated versus non-navigated.

Authors:  A Jawhar; V Shah; S Sohoni; H P Scharf
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2013-06-22       Impact factor: 4.342

Review 4.  Does computer-assisted surgery improve postoperative leg alignment and implant positioning following total knee arthroplasty? A meta-analysis of randomized controlled trials?

Authors:  Tao Cheng; Song Zhao; Xiaochun Peng; Xianlong Zhang
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2011-07-06       Impact factor: 4.342

5.  Does the severity of preoperative varus deformity influence postoperative alignment in both conventional and computer-assisted total knee arthroplasty?

Authors:  Dae Kyung Bae; Sang Jun Song; Dong Beom Heo; Dae Hyun Tak
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2012-10-30       Impact factor: 4.342

6.  A new navigation-based technique for lateral distalizing condylar osteotomy in patients undergoing total knee arthroplasty with fixed valgus deformity.

Authors:  Marco Strauch; Rüdiger von Eisenhart Rothe; Heiko Graichen
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2012-07-14       Impact factor: 4.342

7.  Accuracy of image-free navigation for severely deformed knees.

Authors:  Minoru Takasaki; Shuichi Matsuda; Shingo Fukagawa; Hiroaki Mitsuyasu; Hiromasa Miura; Yukihide Iwamoto
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2009-10-17       Impact factor: 4.342

8.  Unconstrained total knee arthroplasty in significant valgus deformity: a modified surgical technique to balance the knee and avoid instability.

Authors:  R Pagoti; S O'Brien; E Doran; D Beverland
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2015-11-28       Impact factor: 4.342

9.  The effect of leg length discrepancy on clinical outcome after TKA and identification of possible risk factors.

Authors:  Seong Hwan Kim; Sung-Min Rhee; Jung-Won Lim; Han-Jun Lee
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2015-11-19       Impact factor: 4.342

10.  Correction of varus deformity during TKA with reduction osteotomy.

Authors:  Arun B Mullaji; Gautam M Shetty
Journal:  Clin Orthop Relat Res       Date:  2014-01       Impact factor: 4.176

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