Robotic ultrasound-guided facet joint insertion

Esteban J, Simson W, Witzig SR, Rienmueller A, Virga S, Frisch B, Zettinig O, Sakara D, Ryang YM, Navab N, Hennersperger C (2018)


Publication Type: Journal article

Publication year: 2018

Journal

Book Volume: 13

Pages Range: 895-904

Journal Issue: 6

DOI: 10.1007/s11548-018-1759-x

Abstract

Purpose: Facet joint insertion is a common treatment of chronic pain in the back and spine. This procedure is often performed under fluoroscopic guidance, where the staff’s repetitive radiation exposure remains an unsolved problem. Robotic ultrasound (rUS) has the potential to reduce or even eliminate the use of radiation by using ultrasound with a robotic-guided needle insertion. This work presents first clinical data of rUS-based needle insertions extending previous work of our group. Methods: Our system implements an automatic US acquisition protocol combined with a calibrated needle targeting system. This approach assists the physician by positioning the needle holder on a trajectory selected in a 3D US volume of the spine. Results: By the time of submission, nine facets were treated with our approach as first data from an ongoing clinical study. The insertion success rate was shown to be comparable to current clinical practice. Furthermore, US imaging offers additional anatomical context for needle trajectory planning. Conclusion: This work shows first clinical data for robotic ultrasound-assisted facet joint insertion as a promising solution that can easily be incorporated into the clinical workflow. Presented results show the clinical value of such a system.

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How to cite

APA:

Esteban, J., Simson, W., Witzig, S.R., Rienmueller, A., Virga, S., Frisch, B.,... Hennersperger, C. (2018). Robotic ultrasound-guided facet joint insertion. International Journal of Computer Assisted Radiology and Surgery, 13(6), 895-904. https://doi.org/10.1007/s11548-018-1759-x

MLA:

Esteban, Javier, et al. "Robotic ultrasound-guided facet joint insertion." International Journal of Computer Assisted Radiology and Surgery 13.6 (2018): 895-904.

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