Computer-assisted fracture reduction: novel method for analysis of accuracy

Area of Science:

• Orthopedic Surgery
• Medical Imaging
• Computer-Assisted Surgery

Background:

• Anatomic reduction of displaced fractures is challenging due to surgical approach limitations and intraoperative visualization constraints.
• Preoperative Computed Tomography (CT) aids fracture pattern analysis and spatial relationship assessment.
• Computer-Assisted Surgery (CAS) aims to enhance surgical accuracy but currently struggles with fragment differentiation for pre-reduction planning.

Purpose of the Study:

• To present and validate a novel virtual controlled reduction model for computer-assisted fracture reduction.
• To assess the accuracy of virtual reduction compared to direct visualization in an in vitro setting.

Main Methods:

• Development of a virtual reduction model enabling computer-assisted fracture reduction.
• Utilized an in vitro two-body fracture model with a 3D motion tracking system (0.1 mm, 0.1 degrees accuracy).
• Compared direct visualization reduction with virtual reduction performed solely via computer imaging.

Main Results:

• The overall difference between direct and virtual reduction was minimal.
• A statistically significant difference of 0.3 mm (p < 0.01) was observed in residual displacement (Euclidean distance).
• No significant difference was found in residual angulation (p > 0.05).

Conclusions:

• Virtual controlled reduction demonstrates accuracy comparable to direct visualization in simplified fracture models.
• Motion tracking systems provide accurate 3D data for reduction control.
• This virtual reduction method shows promise for clinical application in realistic fracture scenarios.