Literature DB >> 11503125

Geometric analysis of potential error in using femoral intramedullary guides in total knee arthroplasty.

J Novotny1, M H Gonzalez, F M Amirouche, Y C Li.   

Abstract

Proper component orientation is necessary for the long-term success of a total knee arthroplasty. Femoral component placement has used jigging systems that are based on intramedullary and extramedullary guides. The intramedullary system has been shown to foster more accurate and reproducible placement of the femoral component. This study analyzed and quantified the potential error of the intramedullary guide system. Geometric data of the human femur were obtained from radiographs of 45 cadaver femora in the anteroposterior and lateral views. The correct entry point of the intramedullary rod in the distal femur is the midaxial line of the femoral canal on anteroposterior and lateral radiographs. The position of this point in relation to the mediolateral and anteroposterior dimensions of the distal femur was calculated as a ratio. The average calculated ratios were anteroposterior, 0.53 offset medially; lateral, 0.32 offset anterior. Mathematical models were constructed to quantify the potential varus valgus and flexion extension error of the guide rods. Variables investigated were entry point location, guide rod diameter, guide rod length, and rotation. The surgeon must be cognizant of these potential sources of error to maximize the accuracy of the femoral intramedullary jigging system.

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Year:  2001        PMID: 11503125     DOI: 10.1054/arth.2001.23714

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


  25 in total

1.  Radiological results of image-based and non-image-based computer-assisted total knee arthroplasty.

Authors:  H Bäthis; L Perlick; M Tingart; C Lüring; C Perlick; J Grifka
Journal:  Int Orthop       Date:  2004-01-17       Impact factor: 3.075

2.  Total and intercondylar notch bone resection in posterior stabilized knee arthroplasty: analysis of five manufacturer designs.

Authors:  Murat Bozkurt; Mesut Tahta; Safa Gursoy; Mustafa Akkaya
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2015-11-14       Impact factor: 4.342

3.  Computer-assisted total knee arthroplasty versus the conventional technique: how precise is navigation in clinical routine?

Authors:  Markus Tingart; Christian Lüring; Holger Bäthis; Johannes Beckmann; Joachim Grifka; Lars Perlick
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2007-09-26       Impact factor: 4.342

4.  Two year follow-up comparing computer assisted versus freehand TKR on joint stability, muscular function and patients satisfaction.

Authors:  C Lüring; F Oczipka; L Perlick; M Tingart; J Grifka; H Bäthis
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2008-10-22       Impact factor: 4.342

5.  A five to seven year follow-up comparing computer-assisted vs freehand TKR with regard to clinical parameters.

Authors:  C Lüring; M Kauper; H Bäthis; L Perlick; J Beckmann; J Grifka; M Tingart; B Rath
Journal:  Int Orthop       Date:  2011-06-15       Impact factor: 3.075

6.  Less femoral lift-off and better femoral alignment in TKA using computer-assisted surgery.

Authors:  Seong Hwan Kim; Han-Jun Lee; Ho-Joong Jung; Jae Sung Lee; Ki Seong Kim
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2012-10-06       Impact factor: 4.342

7.  Does minimally invasive total knee arthroplasty improve isokinetic torque?

Authors:  Michael C Liebensteiner; Martin Krismer; Arnold Koller; Barbara Semenitz; Eckart Mayr
Journal:  Clin Orthop Relat Res       Date:  2012-08-18       Impact factor: 4.176

8.  Coronal malposition effects in total knee arthroplasty: a finite element analysis.

Authors:  Gabriel Stan; Horia Orban; Lucian Gruionu; Panait Gheorghe
Journal:  Eur J Orthop Surg Traumatol       Date:  2012-07-25

9.  Predicting knee rotation by the projection overlap of the proximal fibula and tibia in long-leg radiographs.

Authors:  Günther Maderbacher; Jens Schaumburger; Clemens Baier; Florian Zeman; Hans-Robert Springorum; Christian Dornia; Joachim Grifka; Armin Keshmiri
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2014-09-26       Impact factor: 4.342

10.  Longitudinal shapes of the tibia and femur are unrelated and variable.

Authors:  Stephen M Howell; Kyle Kuznik; Maury L Hull; Robert A Siston
Journal:  Clin Orthop Relat Res       Date:  2009-07-22       Impact factor: 4.176

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