Literature DB >> 29352686

Interobserver and Intraobserver Reliability of Computed Tomography-Based Three-Dimensional Preoperative Planning for Primary Total Knee Arthroplasty.

Michiaki Miura1, Shigeo Hagiwara1, Junichi Nakamura1, Yasushi Wako1, Yuya Kawarai1, Seiji Ohtori1.   

Abstract

BACKGROUND: Preoperative planning is an important factor for total knee arthroplasty (TKA). The aim of this study is to document the interobserver and intraobserver reliability of computed tomography (CT)-based 3-dimensional (3D) preoperative planning for primary TKA.
METHODS: Twenty knees (10 with osteoarthritis and 10 with rheumatoid arthritis) were studied independently by 6 orthopedic surgeons using a CT-based 3D planning system. The measurements were made twice at more than 3-week intervals without any knowledge of their own previous measurements or those of the others. We assessed the femoral and tibial component sizes and the alignment of the femoral component.
RESULTS: The interobserver and intraobserver agreements for femoral component size were 44.3% and 62.5% with exact size, and increased to 90.7% and 99.2% within one size difference; the intraclass correlation coefficients (ICCs) were 0.919 and 0.936, respectively. The interobserver and intraobserver agreements for tibial component size were 57.0% and 66.7% with exact size, and increased to 87.3% and 90.0% within one size difference; the ICCs were 0.909 and 0.924, respectively. The ICCs for femoral and tibial size were better in rheumatoid arthritis than in osteoarthritis. Interobserver ICC for femoral valgus angle was 0.807, and 0.893 for intraobserver reliability. Interobserver ICC of the femoral external rotation angle was 0.463, and 0.622 for intraobserver reliability.
CONCLUSION: CT-based 3D preoperative planning for primary TKA has clinical implications for predicting appropriate size and alignment of the component in patients with osteoarthritis and rheumatoid arthritis.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CT-based planning; Zed knee; preoperative planning; reliability; total knee arthroplasty

Mesh:

Year:  2017        PMID: 29352686     DOI: 10.1016/j.arth.2017.12.035

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


  6 in total

1.  The application of machine learning to balance a total knee arthroplasty.

Authors:  Matthias A Verstraete; Ryan E Moore; Martin Roche; Michael A Conditt
Journal:  Bone Jt Open       Date:  2020-06-11

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.  Interobserver and Intraobserver Reliabilities of Three-Dimensional Postoperative Evaluation Software in Total Hip Arthroplasty.

Authors:  Kenta Konno; Shigeo Hagiwara; Junichi Nakamura; Yuya Kawarai; Sumihisa Orita; Yawara Eguchi; Seiji Ohtori
Journal:  Adv Orthop       Date:  2021-09-16

4.  Preoperative Virtual Total Knee Arthroplasty Surgery Using a Computed Tomography-based 3-dimensional Model With Variation in Reference Points and Target Alignment to Predict Femoral Component Sizing.

Authors:  Shojiro Ishibashi; Hideki Mizu-Uchi; Shinya Kawahara; Hidetoshi Tsushima; Yukio Akasaki; Yasuharu Nakashima
Journal:  Arthroplast Today       Date:  2022-08-12

5.  Agreement in component size between preoperative measurement, navigation and final implant in total knee replacement.

Authors:  Daniel Hernández-Vaquero; Alfonso Noriega-Fernandez; Sergio Roncero-Gonzalez; Ivan Perez-Coto; Andres A Sierra-Pereira; Manuel A Sandoval-Garcia
Journal:  J Orthop Translat       Date:  2018-11-22       Impact factor: 5.191

6.  Augmented reality-based navigation system applied to tibial bone resection in total knee arthroplasty.

Authors:  Sachiyuki Tsukada; Hiroyuki Ogawa; Masahiro Nishino; Kenji Kurosaka; Naoyuki Hirasawa
Journal:  J Exp Orthop       Date:  2019-11-11
  6 in total

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