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 language | English |
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Pages (from-to) | 58-66 |
Number of pages | 9 |
Journal | International Journal of Medical Robotics and Computer Assisted Surgery |
Volume | 11 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Mar 2015 |
Externally published | Yes |
Keywords
- Computer-assisted orthopaedic surgery (CAOS)
- Diaphysial fracture
- Trajectory planning