Literature DB >> 35979781

[Preliminary application study of dual-robotic navigated minimally invasive treatment by TiRobot and Artis Zeego on pelvic fractures].

Kexin Liu1, Mengzhen You1, Moran Huang2, Cheng Chen1, Biyu Rui1, Hong Gao1, Yunfeng Chen1, Xiaolin Li1, Wei Zhang1, Yuqiang Sun1, Lei Wang1.   

Abstract

Objective: To summarize the surgical learning curve and preliminary operative experience of dual-robotic navigated minimally invasive treatment on pelvic fractures by TiRobot and Artis Zeego.
Methods: Between July 2019 and February 2021, 90 patients with pelvic fractures were treated with dual-robotic navigated minimally invasive surgery by TiRobot and Artis Zeego. There were 64 males and 26 females, with an average age of 46.5 years (range, 13-78 years). Body mass index was 14.67-32.66 kg/m 2 (mean, 23.61 kg/m 2). Causes of injuries included traffic accident in 43 cases, falling from height in 37 cases, low-energy injuries such as flat falls in 10 cases. The interval between injury and surgery was 1-36 days (mean, 7.3 days). According to the location of the implanted screws, the patients were divided into sacroiliac screw group ( n=33), acetabular screw group (acetabulum anterior/posterior column, n=24), composite screws group (sacroiliac and acetabulum anterior/posterior column, n=33). According to the screw implantation time and accuracy, the surgical learning curve was plotted, and the differences in the relevant indicators between learning stage and skilled stage were compared.
Results: All 90 patients successfully completed the operation, the intraoperative bleeding volume was 5-200 mL (median, 20 mL). There was no vascular or nerve injury. All incisions healed by first intention. The screw implantation time ranged from 7.5 to 33.0 minutes (mean, 18.92 minutes), and the screw implantation accuracy ranged from 1.1 to 1.8 mm (mean, 1.56 mm). According to the learning curve, the practice stage of 3 groups was reached after 7, 10, and 11 cases, respectively. With the accumulation of surgical experience, the screw implantation time had a significant downward trend. Compared with the learning stage, the screw implantation time on skilled stage in 3 groups significantly shortened ( P<0.05), but the difference in the screw implantation accuracy was not significant ( P>0.05).
Conclusion: TiRobot and Artis Zeego assisted pelvic fracture surgery is safe and efficient, which helps the surgeon to quickly master the pelvic channel screw surgery, and the operation time is significantly shortened on the premise of ensuring the implantation accuracy.

Entities:  

Keywords:  Artis Zeego system; TiRobot; learning curve; pelvic fracture; three-dimensional navigation

Mesh:

Year:  2022        PMID: 35979781      PMCID: PMC9379448          DOI: 10.7507/1002-1892.202203026

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


  16 in total

1.  An evaluation of three-dimensional image-guided technologies in percutaneous pelvic and acetabular lag screw placement.

Authors:  Peng Xu; Hua Wang; Zhi-yong Liu; Wei-dong Mu; Shi-hong Xu; Lu-bo Wang; Chaoyang Chen; John M Cavanaugh
Journal:  J Surg Res       Date:  2013-06-22       Impact factor: 2.192

Review 2.  Intraoperative Imaging in Pelvic Surgery.

Authors:  Holger Keil; Sara Aytac; Paul Alfred Grützner; Jochen Franke
Journal:  Z Orthop Unfall       Date:  2018-11-12       Impact factor: 0.923

3.  First experiences with intraoperative CT in navigated sacroiliac (SI) instrumentation: An analysis of 25 cases and comparison with conventional intraoperative 2D and 3D imaging.

Authors:  Maxim Privalov; Nils Beisemann; Benedict Swartman; Sven Y Vetter; Paul A Grützner; Jochen Franke; Holger Keil
Journal:  Injury       Date:  2020-02-19       Impact factor: 2.586

4.  Minimally Invasive Fixation of Pelvic Metastases by CT-Assisted Surgical Navigation.

Authors:  Derek G Hansen; Nicola Fabbri
Journal:  Instr Course Lect       Date:  2021

5.  Comparison of 2D and 3D navigation techniques for percutaneous screw insertion into the scaphoid: results of an experimental cadaver study.

Authors:  Philip Catala-Lehnen; Jakob V Nüchtern; Daniel Briem; Thorsten Klink; Johannes M Rueger; Wolfgang Lehmann
Journal:  Comput Aided Surg       Date:  2011

6.  MERS-CoV in the COVID-19 era: update from Saudi Arabia, 2019-2020.

Authors:  Anas Khan; Sharafaldeen Bin Nafisah; Bandr Mzahim; Bakhitah Aleid; Daliah Almatrafi; Abdullah Assiri; Hani Jokhdar
Journal:  East Mediterr Health J       Date:  2021-12-01       Impact factor: 1.628

7.  Accuracy of navigated and conventional iliosacral screw placement in B- and C-type pelvic ring fractures.

Authors:  Josephine Berger-Groch; Marie Lueers; Johannes Maria Rueger; Wolfgang Lehmann; Darius Thiesen; Jan Philipp Kolb; Maximilian Johannes Hartel; Lars Gerhard Grossterlinden
Journal:  Eur J Trauma Emerg Surg       Date:  2018-07-20       Impact factor: 3.693

8.  [The safety of TiRobot-guided percutaneous transpedicular screw implantation].

Authors:  Shu Lin; Jiang Hu; Lun Wan; Liuyi Tang; Yue Wang; Yang Yu; Wei Zhang
Journal:  Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi       Date:  2021-07-15

Review 9.  Computer navigation-assisted minimally invasive percutaneous screw placement for pelvic fractures.

Authors:  Tong Yu; Xue-Liang Cheng; Yang Qu; Rong-Peng Dong; Ming-Yang Kang; Jian-Wu Zhao
Journal:  World J Clin Cases       Date:  2020-06-26       Impact factor: 1.337

10.  Early Experience, Setup, Learning Curve, Benefits, and Complications Associated with Exoscope and Three-Dimensional 4K Hybrid Digital Visualizations in Minimally Invasive Spine Surgery.

Authors:  Mohd Hisam Muhamad Ariffin; Kamalnizat Ibrahim; Azmi Baharudin; Azmi Mohd Tamil
Journal:  Asian Spine J       Date:  2019-10-15
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  1 in total

1.  Intraoperative CT-assisted sacroiliac screws fixation for the treatment of posterior pelvic ring injury: a comparative study with conventional intraoperative imaging.

Authors:  Zhanyu Yang; Bin Sheng; Delong Liu; Xintong Chen; Rui Guan; Yiwei Wang; Chao Liu; Rui Xiao
Journal:  Sci Rep       Date:  2022-10-22       Impact factor: 4.996

  1 in total

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