Literature DB >> 24030893

Computer-aided parachute guiding system for closed reduction of diaphyseal fractures.

Dajiang Du1, Zhen Liu, Shinsuke Omori, Masahiro Kurita, Tetsuya Tomita, Kazuomi Sugamoto, Hideki Yoshikawa, Tsuyoshi Murase.   

Abstract

BACKGROUND: Closed reduction is of great benefit for fracture healing. However, achieving this without sacrificing the reduction accuracy and exposing the surgeon and patient to excessive radiation is difficult.
METHODS: A novel parachute guiding system (ParaEx System) was developed for closed reduction of fractures based on computed tomography data. The system included two counter guides with stainless tubular markers that could be attached to the unilateral external fixator. Comminuted tibial diaphyseal fracture models were used to validate the ParaEx System.
RESULTS: The mean errors (and standard deviations) of residual rotational and translational deformity were 0.67° ± 0.45°, 0.92° ± 1.00°, and 0.64° ± 0.50° in rotation and 1.30 ± 1.10 mm, 1.13 ± 0.70 mm, and 0.94 ± 0.92 mm in translation about the X, Y, and Z axes of the local coordinate axes, respectively.
CONCLUSIONS: The ParaEx System was useful for accurate closed reduction of fractures at low cost.
Copyright © 2013 John Wiley & Sons, Ltd.

Entities:  

Keywords:  bone fracture; computer-assisted orthopedic surgery; external fixator

Mesh:

Year:  2013        PMID: 24030893     DOI: 10.1002/rcs.1533

Source DB:  PubMed          Journal:  Int J Med Robot        ISSN: 1478-5951            Impact factor:   2.547


  2 in total

Review 1.  [Development and clinical application of robot-assisted technology in traumatic orthopedics].

Authors:  Zhenzhong Zhu; Guoyan Zheng; Changqing Zhang
Journal:  Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi       Date:  2022-08-15

2.  Design and evaluation of an intelligent reduction robot system for the minimally invasive reduction in pelvic fractures.

Authors:  Chunpeng Zhao; Yu Wang; Xinbao Wu; Gang Zhu; Shuchang Shi
Journal:  J Orthop Surg Res       Date:  2022-04-04       Impact factor: 2.359

  2 in total

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