Image-Guided Surgical Robotic System for Percutaneous Reduction of Joint Fractures
Article
Dagnino, G., Georgilas, I., Morad, S., Gibbons, P., Tarassoli, P., Atkins, R. and Dogramadzi, S. 2017. Image-Guided Surgical Robotic System for Percutaneous Reduction of Joint Fractures. Annals of Biomedical Engineering. 45, p. 2648–2662. https://doi.org/10.1007/s10439-017-1901-x
Authors | Dagnino, G., Georgilas, I., Morad, S., Gibbons, P., Tarassoli, P., Atkins, R. and Dogramadzi, S. |
---|---|
Abstract | 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. |
Journal | Annals of Biomedical Engineering |
Journal citation | 45, p. 2648–2662 |
ISSN | 0090-6964 |
Year | 2017 |
Publisher | Springer for Biomedical Engineering Society |
Publisher's version | License File Access Level Anyone |
Supplemental file | File Access Level Anyone |
Supplemental file | File Access Level Anyone |
Supplemental file | File Access Level Anyone |
Supplemental file | File Access Level Anyone |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s10439-017-1901-x |
Web address (URL) | https://doi.org/10.1007/s10439-017-1901-x |
Publication dates | |
Online | 16 Aug 2017 |
Publication process dates | |
Accepted | 09 Aug 2017 |
Deposited | 09 Mar 2020 |
Funder | National Institute for Health Research |
Copyright holder | © 2017 The Authors |
https://repository.uel.ac.uk/item/87vv2
Download files
Publisher's version
Dagnino2017_Article_Image-GuidedSurgicalRoboticSys.pdf | ||
License: CC BY 4.0 | ||
File access level: Anyone |
Supplemental file
10439_2017_1901_MOESM2_ESM.png | ||
File access level: Anyone |
10439_2017_1901_MOESM3_ESM.png | ||
File access level: Anyone |
10439_2017_1901_MOESM4_ESM.png | ||
File access level: Anyone |
10439_2017_1901_MOESM5_ESM.png | ||
File access level: Anyone |
152
total views443
total downloads0
views this month0
downloads this month