Robotic intraoperative imaging in orthopaedic and trauma surgery: initial clinical experience with a self-driving mobile 3D C-arm in the first 300 cases

Background Intraoperative C-arm imaging is essential in orthopaedic and trauma surgery, particularly with the increasing use of minimally invasive techniques. Conventional repositioning is performed by non-scrubbed staff, while robotic imaging systems are mainly limited to hybrid operating rooms. Th...

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Autores principales: Bullert, Benno (Autor) , Rübel, Luca (Autor) , Gierse, Jula (Autor) , Mandelka, Eric (Autor) , Brunken, Fenna (Autor) , Grützner, Paul Alfred (Autor) , Vetter, Sven Y. (Autor)
Formato: Article (Journal)
Lenguaje:inglés
Publicado: June 2026
In: The international journal of medical robotics and computer assisted surgery
Year: 2026, Volumen: 22, Número: 3, Pages: 1-8
ISSN:1478-596X
DOI:10.1002/rcs.70195
Acceso en línea:Verlag, kostenfrei, Volltext: https://doi.org/10.1002/rcs.70195
Verlag, kostenfrei, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/rcs.70195
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Notas de Autor:Benno Bullert, Luca Ruebel, Jula Gierse, Eric Mandelka, Fenna Brunken, Paul A. Gruetzner, Sven Y. Vetter

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520 |a Background Intraoperative C-arm imaging is essential in orthopaedic and trauma surgery, particularly with the increasing use of minimally invasive techniques. Conventional repositioning is performed by non-scrubbed staff, while robotic imaging systems are mainly limited to hybrid operating rooms. This study presents the first clinical experience with a fully motorised, self-driving mobile 3D-C-arm. Methods In this prospective, single-center study, 300 procedures were analyzed using device log data and perioperative parameters to assess imaging workflow and system performance. Results Of 300 procedures, 279 were included. Mean procedure time was 104.7 ± 57.4 min, with a C-arm operation time of 31.9 ± 29.1 min, corresponding to a C-arm operation ratio (COR) of 35.2%. Automated positioning accounted for 30.7% of movements, and 37.9% of images were acquired from stored positions. Conclusion The system enabled sterile-field control and demonstrated potential to support intraoperative imaging workflow. Further comparative studies are required to evaluate its clinical impact. 
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