Literature DB >> 22116262

Adjustable cutting blocks improve alignment and surgical time in computer-assisted total knee replacement.

Eduardo M Suero1, Christopher Plaskos, Peter L Dixon, Andrew D Pearle.   

Abstract

PURPOSE: Computer navigation increases accuracy and precision of component alignment in total knee arthroplasty (TKA) compared to the manual technique, but is often associated with increases in surgical time. In a previous cadaver study, we demonstrated a significant improvement in guide positioning precision, final bone cut precision, and procedure length when using adjustable cutting blocks (ACB) compared to conventional cutting blocks (CCB) in computer-navigated TKA. The aim of this study was to evaluate the use of ACB in vivo.
METHODS: We radiographically compared component alignment and mechanical leg alignment, as well as tourniquet time, in 94 patients who underwent TKA using either ACB (N = 30) or CCB (N = 64).
RESULTS: Postoperative mechanical alignment variability was significantly less in the ACB group (SD = 1.7°) than in the CCB group (SD = 2.7°). Tourniquet time was significantly reduced by 14.8 min in the ACB group compared to the CCB. Differences in component alignment were not significant.
CONCLUSION: ACB for TKA significantly reduced postoperative mechanical alignment variability and tourniquet time compared to conventional navigated instrumentation, while providing equal or better component alignment. LEVEL OF EVIDENCE: III.

Entities:  

Mesh:

Year:  2011        PMID: 22116262     DOI: 10.1007/s00167-011-1752-1

Source DB:  PubMed          Journal:  Knee Surg Sports Traumatol Arthrosc        ISSN: 0942-2056            Impact factor:   4.342


  23 in total

1.  Radiological assessment of osteo-arthrosis.

Authors:  J H KELLGREN; J S LAWRENCE
Journal:  Ann Rheum Dis       Date:  1957-12       Impact factor: 19.103

2.  Alignment in total knee arthroplasty. A comparison of computer-assisted surgery with the conventional technique.

Authors:  H Bäthis; L Perlick; M Tingart; C Lüring; D Zurakowski; J Grifka
Journal:  J Bone Joint Surg Br       Date:  2004-07

3.  Influence of sex on surgical time in primary total knee arthroplasty.

Authors:  Yona Kosashvili; Ian P Mayne; Tom Trajkovski; Dror Lackstein; Oleg Safir; David Backstein
Journal:  Can J Surg       Date:  2010-08       Impact factor: 2.089

4.  The role of knee alignment in disease progression and functional decline in knee osteoarthritis.

Authors:  L Sharma; J Song; D T Felson; S Cahue; E Shamiyeh; D D Dunlop
Journal:  JAMA       Date:  2001-07-11       Impact factor: 56.272

5.  Relationship between cutting errors and learning curve in computer-assisted total knee replacement.

Authors:  Alfonso Manzotti; Pietro Cerveri; Elena De Momi; Chris Pullen; Norberto Confalonieri
Journal:  Int Orthop       Date:  2009-06-10       Impact factor: 3.075

6.  The influence of procedure volumes and standardization of care on quality and efficiency in total joint replacement surgery.

Authors:  Kevin J Bozic; Judith Maselli; Penelope S Pekow; Peter K Lindenauer; Thomas P Vail; Andrew D Auerbach
Journal:  J Bone Joint Surg Am       Date:  2010-11-17       Impact factor: 5.284

7.  The effects of early tourniquet release during total knee arthroplasty: a prospective randomized double-blind study.

Authors:  J Barwell; G Anderson; A Hassan; I Rawlings; N J Barwell
Journal:  J Bone Joint Surg Br       Date:  1997-03

8.  Association between hospital and surgeon procedure volume and the outcomes of total knee replacement.

Authors:  Jeffrey N Katz; Jane Barrett; Nizar N Mahomed; John A Baron; R John Wright; Elena Losina
Journal:  J Bone Joint Surg Am       Date:  2004-09       Impact factor: 5.284

9.  Computer-assisted minimally invasive total knee arthroplasty compared with standard total knee arthroplasty. A prospective, randomized study.

Authors:  Andrew Quoc Dutton; Seng-Jin Yeo; Kuang-Ying Yang; Ngai-Nung Lo; Kui-Un Chia; Hwei-Chi Chong
Journal:  J Bone Joint Surg Am       Date:  2008-01       Impact factor: 5.284

10.  The cost-effectiveness of computer-assisted navigation in total knee arthroplasty.

Authors:  Erik J Novak; Marc D Silverstein; Kevin J Bozic
Journal:  J Bone Joint Surg Am       Date:  2007-11       Impact factor: 5.284

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  6 in total

1.  Robotic-assisted knee arthroplasty: an evolution in progress. A concise review of the available systems and the data supporting them.

Authors:  Johanna Elliott; Jobe Shatrov; Brett Fritsch; David Parker
Journal:  Arch Orthop Trauma Surg       Date:  2021-09-07       Impact factor: 3.067

Review 2.  The evolution of robotic systems for total knee arthroplasty, each system must be assessed for its own value: a systematic review of clinical evidence and meta-analysis.

Authors:  Hannes Vermue; Cécile Batailler; Paul Monk; Fares Haddad; Thomas Luyckx; Sébastien Lustig
Journal:  Arch Orthop Trauma Surg       Date:  2022-09-25       Impact factor: 2.928

Review 3.  Robotic arm-assisted arthroplasty: The latest developments.

Authors:  Xin Chen; Shu Deng; Mao-Lin Sun; Rui He
Journal:  Chin J Traumatol       Date:  2021-09-02

4.  [Application and research progress of robotic-arm in total knee arthroplasty].

Authors:  Maolin Sun; Liu Yang; Rui He
Journal:  Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi       Date:  2021-07-15

5.  Can the need for soft tissue release in total knee replacement be predicted pre-operatively? A study based on surgical navigation.

Authors:  Daniel Hernandez-Vaquero; Alfonso Noriega-Fernandez; Sergio Roncero-Gonzalez; Gorka Luis Ruete-Gil; Jose Manuel Fernandez-Carreira
Journal:  Int Orthop       Date:  2021-11-24       Impact factor: 3.075

6.  Intraoperative fluoroscopy improves surgical precision in conventional TKA.

Authors:  Hervé Hourlier; Peter Fennema
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2012-12-22       Impact factor: 4.342

  6 in total

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