Literature DB >> 26765862

2D versus 3D templating in total knee arthroplasty.

Max Ettinger1, Leif Claassen2, Peter Paes2, Tilman Calliess2.   

Abstract

BACKGROUND: Preoperative digital templating in total knee arthroplasty (TKA) helps to determine the need of non-standard implants, prophesies the bony resections and helps to anticipate the intraoperative plan. Templating within the process of patient specific instrumentation (PSI) is fairly new and 2D planning has not been compared to PSI templating.
METHODS: 94 patients underwent unilateral primary TKA with magnetic resonance imaging (MRI) based preoperative templating and PSI cutting blocks. Parallel to this, three observers templated all cases using digital planning on standard preoperative x-rays. The examiners templated all cases independently and were blinded to the component sizes used intraoperatively.
RESULTS: Three-dimensional (3D) templating was accurate in predicting the correct implant size in 100% of the cases. The femoral and tibial two-dimensional (2D) digital templating varied from 43.6% to 59.5% and 52.1% to 68% of the cases. When allowing ±1 difference, femoral 2D digital templating varied from 93.6% to 97.8% of the cases and ranged from 94.6% to 98.9% on the tibial side. All observers show "very good" correlation. The coefficient indicates a very good agreement in between the three observers.
CONCLUSION: 3D templating has very high accuracy for the actual implant size prediction. Compared to this, 2D digital templating is an accurate method to approximately (±1 size) determine the size of TKA components. However, we judge this technique accurate enough, that 2D templating allows launching Template-directed instrumentation (TDI), while the examiner does not need a high level of clinical experience. CLINICAL RELEVANCE: Within the process of digital planning, the surgeonmight focus evenmore on the upcoming operation.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Templating; Total knee arthroplasty; Training level

Mesh:

Year:  2016        PMID: 26765862     DOI: 10.1016/j.knee.2015.08.014

Source DB:  PubMed          Journal:  Knee        ISSN: 0968-0160            Impact factor:   2.199


  7 in total

1.  A novel technology for 3D knee prosthesis planning and treatment evaluation using 2D X-ray radiographs: a clinical evaluation.

Authors:  Guoyan Zheng; Hagen Hommel; Alper Akcoltekin; Benedikt Thelen; Jan Stifter; Geert Peersman
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-05-21       Impact factor: 2.924

2.  The evaluation of the distance between the popliteus tendon and the lateral collateral ligament footprint and the implant in Total knee Arthroplasty using a 3-dimensional template.

Authors:  Akihito Takubo; Keinosuke Ryu; Takanori Iriuchishima; Masahiro Nagaoka; Yasuaki Tokuhashi; Shin Aizawa
Journal:  BMC Musculoskelet Disord       Date:  2020-05-22       Impact factor: 2.362

3.  Evaluation and validation of 2D biomechanical models of the knee for radiograph-based preoperative planning in total knee arthroplasty.

Authors:  Malte Asseln; Jörg Eschweiler; Adam Trepczynski; Philipp Damm; Klaus Radermacher
Journal:  PLoS One       Date:  2020-01-08       Impact factor: 3.240

4.  Customized treatment for an oncologic lesion near a joint: case report of a custom-made 3D-printed prosthesis for a grade II chondrosarcoma of the proximal ulna.

Authors:  Annemarie S E Brandsma; Egbert Jan D Veen; Andor W J M Glaudemans; Paul C Jutte; Joris J W Ploegmakers
Journal:  JSES Int       Date:  2020-08-12

5.  Accuracy of one-dimensional templating on linear EOS radiography allows template-directed instrumentation in total knee arthroplasty.

Authors:  Michael Andreas Finsterwald; Salar Sobhi; Senthuren Isaac; Penelope Scott; Riaz J K Khan; Daniel P Fick
Journal:  J Orthop Surg Res       Date:  2021-11-10       Impact factor: 2.359

6.  Prediction of Knee Prosthesis Using Patient Gender and BMI With Non-marked X-Ray by Deep Learning.

Authors:  Yu Yue; Qiaochu Gao; Minwei Zhao; Dou Li; Hua Tian
Journal:  Front Surg       Date:  2022-03-14

7.  A Fast 3-Dimensional Magnetic Resonance Imaging Reconstruction for Surgical Planning of Uterine Myomectomy.

Authors:  Sa Ra Lee; Young Jae Kim; Kwang Gi Kim
Journal:  J Korean Med Sci       Date:  2018-01-08       Impact factor: 2.153

  7 in total

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