Literature DB >> 30068010

Preoperative CT-Based Three-Dimensional Templating in Robot-Assisted Total Knee Arthroplasty More Accurately Predicts Implant Sizes than Two-Dimensional Templating.

J R T Pietrzak1, F E Rowan1, B Kayani1, M J Donaldson1, S S Huq1, F S Haddad1.   

Abstract

Patient dissatisfaction after total knee arthroplasty (TKA) is a concern. Surgical error is a common, avoidable cause of failed TKA. Correct femoral and tibial component sizing improves implant longevity, clinical outcomes, knee balance, and pain scores. We hypothesized that preoperative three-dimensional (3D) templating for robot-assisted TKA (RA-TKA) is more accurate than two-dimensional (2D) digital templating. Prospectively collected data from 31 RA-TKAs were assessed to determine accuracy pertaining to implant sizing and positioning. All cases undergoing RA-TKA undergo preoperative CT-scans as per protocol. Three blinded observers retrospectively templated these knees for TKA using standard radiographs. We compared whether 2D templating was as accurate as CT-guided templating. Postoperative radiographs were then evaluated for sizing and positioning. Intraclass correlation coefficients (ICCs) and the effect of learning curve were assessed. Preoperative femoral component 3D templating and retrospective blinded 2D templating accuracies were 96.6% and 52.9%, respectively (χ 2: 17.965; odds ratio [OR]: 24.957, 3.250-191.661; p < 0.001). Tibial component 3D and 2D templating accuracies were 93.1% and 28.7%, respectively (χ 2: 36.436; OR: 33.480, 7.400-151.481; p < 0.001). ICC for the three radiograph observers was 0.920 (95% confidence interval [CI]: 0.652-0.890; p < 0.001) for the femur and 0.833 (0.717-0.911; p < 0.001) for the tibia, showing excellent agreement. We conclude that preoperative CT-based templating for RA-TKA more accurately predicts the size of implants compared with traditional 2D digital templating. This may improve operating room efficiency and cost containment. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

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Year:  2018        PMID: 30068010     DOI: 10.1055/s-0038-1666829

Source DB:  PubMed          Journal:  J Knee Surg        ISSN: 1538-8506            Impact factor:   2.757


  7 in total

1.  [Study on the accuracy of automatic segmentation of knee CT images based on deep learning].

Authors:  Ping Song; Zheqi Fan; Xin Zhi; Zheng Cao; Shengfeng Min; Xingyu Liu; Yiling Zhang; Xiangpeng Kong; Wei Chai
Journal:  Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi       Date:  2022-05-15

2.  Accuracy and Reliability of Computer-aided Anatomical Measurements for Vertebral Body and Disc Based on Computed Tomography Scans.

Authors:  Jie Yao; Bo Dong; Ju Sun; Jian-Tao Liu; Fang Liu; Xiao-Wei Li; Pu-Wei Yuan; Jian-Bao Zhang
Journal:  Orthop Surg       Date:  2020-07-03       Impact factor: 2.071

3.  Robotic arm-assisted total knee arthroplasty improves preoperative planning and intraoperative decision-making.

Authors:  Xufeng Wan; Qiang Su; Duan Wang; Mingcheng Yuan; Yahao Lai; Hong Xu; Zongke Zhou
Journal:  J Orthop Surg Res       Date:  2021-11-15       Impact factor: 2.359

4.  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

5.  Primary total knee arthroplasty assisted by computed tomography-free navigation for secondary knee osteoarthritis following massive calcium phosphate cement packing for distal femoral giant-cell bone tumor treatment: a case report.

Authors:  Akihiko Takeuchi; Norio Yamamoto; Takaaki Ohmori; Katsuhiro Hayashi; Shinji Miwa; Kentaro Igarashi; Takashi Higuchi; Kensaku Abe; Hirotaka Yonezawa; Sei Morinaga; Yoshihiro Araki; Yohei Asano; Shiro Saito; Hiroyuki Tsuchiya
Journal:  BMC Musculoskelet Disord       Date:  2022-02-22       Impact factor: 2.362

6.  Application of metal artifact reduction software in gemstone spectral computed tomography for patients after total knee arthroplasty.

Authors:  Jinge Zhang; Xiaozhou Wang; Fei Zhao; Kai Zhang; Yuming Li; Yu Zhang; Yi Zeng; Chunchao Xia; Zhenlin Li
Journal:  Ann Transl Med       Date:  2022-08

7.  Robotic arm assisted total knee arthroplasty workflow optimization, operative times and learning curve.

Authors:  Luis Grau; Max Lingamfelter; Danielle Ponzio; Zachary Post; Alvin Ong; David Le; Fabio Orozco
Journal:  Arthroplast Today       Date:  2019-06-27
  7 in total

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