Improved screw placement for Slipped Capital Femoral Epiphysis (SCFE) using robotically-assisted drill guidance

Azizi Koutenaei B, Guler O, Wilson E, Thoranaghatte RU, Oetgen M, Navab N, Cleary K (2014)

Publication Type: Conference contribution

Publication year: 2014

Journal

Lecture Notes in Computer Science Springer Verlag

Publisher: Springer Verlag

Book Volume: 8673 LNCS

Pages Range: 488-495

Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Event location: USA

ISBN: 9783319104034

DOI: 10.1007/978-3-319-10404-1_61

Abstract

Slipped Capital Femoral Epiphysis (SCFE) is a common hip displacement condition in adolescents. In the standard treatment, the surgeon uses intra-operative fluoroscopic imaging to plan the screw placement and the drill trajectory. The accuracy, duration, and efficacy of this procedure are highly dependent on surgeon skill. Longer procedure times result in higher radiation dose, to both patient and surgeon. A robotic system to guide the drill trajectory might help to reduce screw placement errors and procedure time by reducing the number of passes and confirmatory fluoroscopic images needed to verify accurate positioning of the drill guide along a planned trajectory. Therefore, with the long-term goals of improving screw placement accuracy, reducing procedure time and intra-operative radiation dose, our group is developing an image-guided robotic surgical system to assist a surgeon with pre-operative path planning and intra-operative drill guide placement. © 2014 Springer International Publishing.

Involved external institutions

Children’s National Health System US United States (USA) (US) Technische Universität München (TUM) DE Germany (DE)

How to cite

APA:

Azizi Koutenaei, B., Guler, O., Wilson, E., Thoranaghatte, R.U., Oetgen, M., Navab, N., & Cleary, K. (2014). Improved screw placement for Slipped Capital Femoral Epiphysis (SCFE) using robotically-assisted drill guidance. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 488-495). USA: Springer Verlag.

MLA:

Azizi Koutenaei, Bamshad, et al. "Improved screw placement for Slipped Capital Femoral Epiphysis (SCFE) using robotically-assisted drill guidance." Proceedings of the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, USA Springer Verlag, 2014. 488-495.

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