Literature DB >> 33191693

[An animal experimental study on domestic robot-assisted total knee arthroplasty].

Wei Chai1, Jie Xie2, Xiaogang Zhang3, Tingfang Yan4, Yalan Zhao4, Chuan He5, Yuan Zhang6.   

Abstract

OBJECTIVE: To evaluate the performance, safety, and precision of the Yuanhua robotic-assisted total knee arthroplasty system (YUANHUA-TKA) through animal experiments, which will provide reference data for human clinical trials.
METHODS: Six 18-month-old goats, weighing 30-35 kg, were used in this study. The experimental study was divided into two parts: the preoperative planning and intraoperative bone resection. CT scans of the goats' lower extremities were firstly performed before the experiments. Then the CT scans were segmented to generate the femoral and tibial three-dimensional (3D) models in the YUANHUA-TKA system. The volumes and angles of each resection plane on the femur and tibia were planned. The bone resection was finally implemented under the assistance of the YUANHUA-TKA system. After completing all bone resections, the lower extremities of each goat were taken to have CT scans. By comparing the femoral and tibial 3D models before and after the experiments, the actual bone resection volumes and angles were calculated and compared with the preoperative values.
RESULTS: During the experiments, no abnormal bleeding was found; the YUANHUA-TKA system ran smoothly and stably and was able to stop moving and keep the osteotomy in the safe zone all the time. After the experiment, the resection planes were observed immediately and found to be quite flat. There was no significant difference between the planned and actual osteotomy thickness and osteotomy angle ( P>0.05); the error of the osteotomy thickness was less than 1 mm, and the error of the osteotomy angle was less than 2°.
CONCLUSION: The YUANHUA-TKA system can assist the surgeons to perform osteotomy following the planned thickness and angle values. It is expected to assist surgeons to implement more accurate and efficient osteotomy in the future clinical applications.

Entities:  

Keywords:  Total knee arthroplasty; assisted osteotomy; goat; robot-assisted surgery

Mesh:

Year:  2020        PMID: 33191693      PMCID: PMC8171694          DOI: 10.7507/1002-1892.202003173

Source DB:  PubMed          Journal:  Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi        ISSN: 1002-1892


  11 in total

1.  Robotic-assisted TKA reduces postoperative alignment outliers and improves gap balance compared to conventional TKA.

Authors:  Eun-Kyoo Song; Jong-Keun Seon; Ji-Hyeon Yim; Nathan A Netravali; William L Bargar
Journal:  Clin Orthop Relat Res       Date:  2013-01       Impact factor: 4.176

Review 2.  Robotic-assisted knee arthroplasty.

Authors:  Samik Banerjee; Jeffrey J Cherian; Randa K Elmallah; Julio J Jauregui; Todd P Pierce; Michael A Mont
Journal:  Expert Rev Med Devices       Date:  2015-09-12       Impact factor: 3.166

3.  Computer-Assisted Planning, Simulation, and Navigation System for Periacetabular Osteotomy.

Authors:  Li Liu; Klaus Siebenrock; Lutz-P Nolte; Guoyan Zheng
Journal:  Adv Exp Med Biol       Date:  2018       Impact factor: 2.622

4.  Comparison of Functional Outcomes of Computer-Assisted vs Conventional Total Knee Arthroplasty: A Systematic Review and Meta-Analysis of High-Quality, Prospective Studies.

Authors:  Taufiq R Panjwani; Arun Mullaji; Karan Doshi; Harshad Thakur
Journal:  J Arthroplasty       Date:  2018-12-02       Impact factor: 4.757

Review 5.  Robotics in Arthroplasty: A Comprehensive Review.

Authors:  David J Jacofsky; Mark Allen
Journal:  J Arthroplasty       Date:  2016-05-18       Impact factor: 4.757

6.  [Clinical effects of robot-assisted total knee arthroplasty compared with traditional surgery: a Meta-analysis].

Authors:  Guo-Hua Zhang; Kai Li; Bin Zhao; Yong-Wei Zhang; Yan Wang; Zhi-Liang Zhang
Journal:  Zhongguo Gu Shang       Date:  2019-09-25

7.  Robotic-assisted total knee arthroplasty may lead to improvement in quality-of-life measures: a 2-year follow-up of a prospective randomized trial.

Authors:  Ming Han Lincoln Liow; Graham Seow-Hng Goh; Merng Koon Wong; Pak Lin Chin; Darren Keng-Jin Tay; Seng-Jin Yeo
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2016-03-26       Impact factor: 4.342

8.  Patient-Reported Outcomes, Quality of Life, and Satisfaction Rates in Young Patients Aged 50 Years or Younger After Total Knee Arthroplasty.

Authors:  Graham Seow-Hng Goh; Ming Han Lincoln Liow; Hamid Rahmatullah Bin Abd Razak; Darren Keng-Jin Tay; Ngai-Nung Lo; Seng-Jin Yeo
Journal:  J Arthroplasty       Date:  2016-08-10       Impact factor: 4.757

9.  A New Prediction Model for Patient Satisfaction After Total Knee Arthroplasty.

Authors:  Stefaan Van Onsem; Catherine Van Der Straeten; Nele Arnout; Patrick Deprez; Geert Van Damme; Jan Victor
Journal:  J Arthroplasty       Date:  2016-07-14       Impact factor: 4.757

10.  Estimation of surgical tool-tip tracking error distribution in coordinate reference frame involving pivot calibration uncertainty.

Authors:  Zhe Min; Hongliang Ren; Max Q-H Meng
Journal:  Healthc Technol Lett       Date:  2017-09-18
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  3 in total

1.  [A cadaveric experimental study on domestic robot-assisted total knee arthroplasty].

Authors:  Wei Chai; Jie Xie; Xiaogang Zhang; Chuan He; Tingfang Yan; Li Liu; Yuan Zhang; Zongke Zhou; Yihe Hu; Li Cao; Jiying Chen; Peifu Tang
Journal:  Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi       Date:  2021-04-15

Review 2.  What's new in artificially intelligent joint surgery in China? The minutes of the 2021 IEEE ICRA and literature review.

Authors:  Zhonghua Xu; Yuan Zhang
Journal:  Arthroplasty       Date:  2022-01-17

3.  Robot-assisted surgery in total knee arthroplasty: trauma maker or trauma savior? A prospective, randomized cohort study.

Authors:  Zhonghua Xu; Hua Li; Zaiyang Liu; Jie Li; Jun Zhang; Min Wang; Yuan Zhang
Journal:  Burns Trauma       Date:  2022-09-16
  3 in total

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