Literature DB >> 12362376

Bone morphing: 3D morphological data for total knee arthroplasty.

E Stindel1, J L Briard, P Merloz, S Plaweski, F Dubrana, C Lefevre, J Troccaz.   

Abstract

OBJECTIVE: The clinical outcome of a total knee arthroplasty (TKA) is mainly determined by the accuracy of the surgical procedure itself. To improve the final result, one must take into account (a) the alignment of the prosthesis with respect to the mechanical axis, and (b) the balance of the soft tissues. Therefore, morphologic data (such as the shape of the epiphysis) and geometric data are essential. We present a new method for performing TKA based on morphologic and geometric data without preoperative images.
MATERIALS AND METHODS: The global method is based on the digitization of points with an optical 3D localizer. For the morphologic acquisitions, we use a method based on the registration of sparse point data with a 3D statistical deformable model. To build the mechanical axis, we use a kinematics method for the hip center and digitization of anatomical landmarks for the ankle centers. The knee center is not determined by digitization or kinematics of the knee, as this would not be accurate. The surgical planning relies totally on the soft-tissue balance, which is the key issue for a good kinematics result.
RESULTS: We have used this system for 6 months in a randomized clinical trial involving 35 patients to date. For the first 11 patients that could be measured in the navigation group, the postoperative frontal alignment was within the range of 180 +/- 3 degrees. Fluoroscopic assessment of the soft-tissue balancing will be performed at the conclusion of an extended 2-year study to evaluate the results from a functional point of view.
CONCLUSION: Bone Morphing is an accurate, fast, and user-friendly method that can provide morphologic as well as geometric data. We have introduced the important notion of soft-tissue balancing into the intraoperative planning step to optimize the kinematics as well as the anatomy. Therefore, this method should be considered as an alternative to the CT-based method. Copyright 2002 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2002        PMID: 12362376     DOI: 10.1002/igs.10042

Source DB:  PubMed          Journal:  Comput Aided Surg        ISSN: 1092-9088


  15 in total

1.  Prosthetic alignment and sizing in computer-assisted total knee arthroplasty.

Authors:  Tomoyuki Matsumoto; Nobuhiro Tsumura; Masahiro Kurosaka; Hirotsugu Muratsu; Ryosuke Kuroda; Katsuhiko Ishimoto; Kazuo Tsujimoto; Ryoichi Shiba; Shinichi Yoshiya
Journal:  Int Orthop       Date:  2004-08-14       Impact factor: 3.075

2.  A mechanized and standardized pivot shifter: technical description and first evaluation.

Authors:  Musa Citak; Eduardo M Suero; Joshua C Rozell; Marianne Roberta Frederiek Bosscher; Julian Kuestermeyer; Andrew D Pearle
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2010-10-15       Impact factor: 4.342

Review 3.  [The foundations of computer assisted surgery].

Authors:  F Langlotz; L-P Nolte; M Tannast
Journal:  Orthopade       Date:  2006-10       Impact factor: 1.087

4.  Posterior cruciate ligament and posterolateral corner deficiency results in a reverse pivot shift.

Authors:  Frank A Petrigliano; Clayton G Lane; Eduardo M Suero; Answorth A Allen; Andrew D Pearle
Journal:  Clin Orthop Relat Res       Date:  2012-03       Impact factor: 4.176

5.  Effect of meniscal loss on knee stability after single-bundle anterior cruciate ligament reconstruction.

Authors:  Frank A Petrigliano; Volker Musahl; Eduardo M Suero; Musa Citak; Andrew D Pearle
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2011-05-12       Impact factor: 4.342

6.  Validation of three-dimensional models of the distal femur created from surgical navigation point cloud data for intraoperative and postoperative analysis of total knee arthroplasty.

Authors:  David A J Wilson; Carolyn Anglin; Felix Ambellan; Carl Martin Grewe; Alexander Tack; Hans Lamecker; Michael Dunbar; Stefan Zachow
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-06-29       Impact factor: 2.924

7.  A novel 3D approach for determination of frontal and coronal plane tibial slopes from MR imaging.

Authors:  Amirhesam Amerinatanzi; Rodney Summers; Kaveh Ahmadi; Vijay K Goel; Timothy E Hewett; Edward Nyman
Journal:  Knee       Date:  2016-12-04       Impact factor: 2.199

8.  FCN-based approach for the automatic segmentation of bone surfaces in ultrasound images.

Authors:  M Villa; G Dardenne; M Nasan; H Letissier; C Hamitouche; E Stindel
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-09-07       Impact factor: 2.924

9.  How precise is computer-navigated gap assessment in TKA?

Authors:  James B Stiehl; David A Heck
Journal:  Clin Orthop Relat Res       Date:  2015-01       Impact factor: 4.176

Review 10.  Total knee arthroplasties from the origin to navigation: history, rationale, indications.

Authors:  Dominique Saragaglia; Brice Rubens-Duval; Julia Gaillot; Gabriel Lateur; Régis Pailhé
Journal:  Int Orthop       Date:  2018-03-27       Impact factor: 3.075

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