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

Hailong Du, Lei Hu, Changsheng Li, Chunqing He, Lihai Zhang, Peifu Tang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)

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<2mm (average<1mm) 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 1mm gap between the edges of fractures spikes is sufficient to avoid emergency braking from spike interference.

Original languageEnglish
Pages (from-to)58-66
Number of pages9
JournalInternational Journal of Medical Robotics and Computer Assisted Surgery
Volume11
Issue number1
DOIs
Publication statusPublished - 1 Mar 2015
Externally publishedYes

Keywords

  • Computer-assisted orthopaedic surgery (CAOS)
  • Diaphysial fracture
  • Trajectory planning

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