Literature DB >> 24677623

Preoperative trajectory planning for closed reduction of long-bone diaphyseal fracture using a computer-assisted reduction system.

Hailong Du1, Lei Hu, Changsheng Li, Chunqing He, Lihai Zhang, Peifu Tang.   

Abstract

BACKGROUND: Balancing reduction accuracy with soft-tissue preservation is a challenge in orthopaedics. Computer-assisted orthopaedic surgery (CAOS) can improve accuracy and reduce radiation exposure. However, previous reports have not summarized the fracture patterns to which CAOS has been applied.
METHODS: We used a CAOS system and a stereolithography model to define a new fracture classification. Twenty reduction tests were performed to evaluate the effectiveness of preoperative trajectory planning.
RESULTS: Twenty tests ran automatically and smoothly. Only three slight scratches occurred. Seventy-six path points represented displacement deviations of < 2 mm (average < 1 mm) and angulation deviation of < 1.5°. DISCUSSION: Because of the strength of muscles, mechanical sensors are used to prevent iatrogenic soft-tissue injury. Secondary fractures are prevented mainly through preoperative trajectory planning. Based on our data, a 1 mm gap between the edges of fractures spikes is sufficient to avoid emergency braking from spike interference.
Copyright © 2014 John Wiley & Sons, Ltd.

Entities:  

Keywords:  computer-assisted orthopaedic surgery (CAOS); diaphysial fracture; trajectory planning

Mesh:

Year:  2014        PMID: 24677623     DOI: 10.1002/rcs.1573

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


  1 in total

1.  Early Experience with Reduction of Unstable Pelvic Fracture Using a Computer-Aided Reduction Frame.

Authors:  Jing-Xin Zhao; Li-Cheng Zhang; Xiu-Yun Su; Zhe Zhao; Yan-Peng Zhao; Guo-Fei Sun; Li-Hai Zhang; Pei-Fu Tang
Journal:  Biomed Res Int       Date:  2018-02-13       Impact factor: 3.411

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.