Complex joint fractures often require an open surgical procedure, which is associated with extensive soft tissue damages and longer hospitalization and rehabilitation time. Percutaneous techniques can potentially mitigate these risks but their application to joint fractures is limited by the current sub-optimal 2D intra-operative imaging (fluoroscopy) and by the high forces involved in the fragment manipulation (due to the presence of soft tissue, e.g., muscles) which might result in fracture malreduction. Integration of robotic assistance and 3D image guidance can potentially overcome these issues. The authors propose an image-guided surgical robotic system for the percutaneous treatment of knee joint fractures, i.e., the robot-assisted fracture surgery (RAFS) system. It allows simultaneous manipulation of two bone fragments, safer robot-bone fixation system, and a traction performing robotic manipulator. This system has led to a novel clinical workflow and has been tested both in laboratory and in clinically relevant cadaveric trials. The RAFS system was tested on 9 cadaver specimens and was able to reduce 7 out of 9 distal femur fractures (T- and Y-shape 33-C1) with acceptable accuracy (≈1 mm, ≈5°), demonstrating its applicability to fix knee joint fractures. This study paved the way to develop novel technologies for percutaneous treatment of complex fractures including hip, ankle, and shoulder, thus representing a step toward minimally-invasive fracture surgeries.
- Cadaveric experimental study
- Computer-assisted surgery
- Medical robotics
- Percutaneous fracture surgery
- Virtual planning
ASJC Scopus subject areas
- Biomedical Engineering
FingerprintDive into the research topics of 'Image-Guided Surgical Robotic System for Percutaneous Reduction of Joint Fractures'. Together they form a unique fingerprint.
- Department of Mechanical Engineering - Senior Lecturer
- Centre for Bioengineering & Biomedical Technologies (CBio)
- Centre for Digital, Manufacturing & Design (dMaDe)
- Bath Institute for the Augmented Human
Person: Research & Teaching, Core staff, Affiliate staff