Abstract
Fractures of the distal radius account for about 15% of all extremity fractures. To date, open reduction and internal plate fixation is the standard operative treatment. During the procedure, only fluoroscopic images are available for the planning of the screw placement and the monitoring of the instrument trajectory. Complications arising from malpositioned screws can lead to revision surgery. With the aim of improving screw placement accuracy, we present a prototype framework for fully intra-operative guidance that simplifies the planning transfer. Planning is performed directly intra-operatively and expressed in terms of screw configuration w.r.t the used implant plate. Subsequently, guidance is provided solely by a combination of locally positioned markers and a small camera placed on the surgical instrument that allows real-time position feedback. We evaluated our framework on 34 plastic bones and 3 healthy forearm cadaver specimens. In total, 146 screws were placed. On bone phantoms, we achieved an accuracy of 1.02 ± 0.57mm, 3.68 ± 4.38° and 1.77 ± 1.38° in the screw tip position and orientation (azimuth and elevation) respectively. On forearm specimens, we achieved a corresponding accuracy of 1.63 ± 0.91mm, 5.85 ± 4.93° and 3.48 ± 3.07°. Our analysis shows that our framework has the potential for improving the accuracy of the screw placement compared to the state of the art.
The presented method is investigational use and is limited by law to investigational use. It is not commercially available and its future availability cannot be ensured.
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Keywords
- Distal Radius
- Distal Radius Fracture
- Screw Placement
- Slip Capital Femoral Epiphysis
- Extensor Compartment
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Magaraggia, J. et al. (2015). A Portable Intra-Operative Framework Applied to Distal Radius Fracture Surgery. In: Navab, N., Hornegger, J., Wells, W., Frangi, A. (eds) Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015. MICCAI 2015. Lecture Notes in Computer Science(), vol 9349. Springer, Cham. https://doi.org/10.1007/978-3-319-24553-9_40
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DOI: https://doi.org/10.1007/978-3-319-24553-9_40
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