Robotic cochlear implantation: surgical procedure and first clinical experience

Abstract Conclusion: A system for robotic cochlear implantation (rCI) has been developed and a corresponding surgical workflow has been described. The clinical feasibility was demonstrated through the conduction of a safe and effective rCI procedure. Objectives: To define a clinical workflow for rCI and demonstrate its feasibility, safety, and effectiveness within a clinical setting. Method: A clinical workflow for use of a previously described image guided surgical robot system for rCI was developed. Based on pre-operative images, a safe drilling tunnel targeting the round window was planned and drilled by the robotic system. Intra-operatively the drill path was assessed using imaging and sensor-based data to confirm the proximity of the facial nerve. Electrode array insertion was manually achieved under microscope visualization. Electrode array placement, structure preservation, and the accuracy of the drilling and of the safety mechanisms were assessed on post-operative CT images. Results: Robotic drilling was conducted with an accuracy of 0.2 mm and safety mechanisms predicted proximity of the nerves to within 0.1 mm. The approach resulted in a minimal mastoidectomy and minimal incisions. Manual electrode array insertion was successfully performed through the robotically drilled tunnel. The procedure was performed without complications, and all surrounding structures were preserved.

[1]  Marco Caversaccio,et al.  High-Accuracy Patient-to-Image Registration for the Facilitation of Image-Guided Robotic Microsurgery on the Head , 2013, IEEE Transactions on Biomedical Engineering.

[2]  Marco Caversaccio,et al.  Estimation of Tool Pose Based on Force–Density Correlation During Robotic Drilling , 2013, IEEE Transactions on Biomedical Engineering.

[3]  Omid Majdani,et al.  Clinical Validation of Percutaneous Cochlear Implant Surgery: Initial Report , 2008, The Laryngoscope.

[4]  R. Balachandran,et al.  Percutaneous cochlear implant drilling via customized frames: An in vitro study , 2010, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

[5]  Bodo Heimann,et al.  A robot-guided minimally invasive approach for cochlear implant surgery: preliminary results of a temporal bone study , 2009, International Journal of Computer Assisted Radiology and Surgery.

[6]  Marco Caversaccio,et al.  In Vitro Accuracy Evaluation of Image-Guided Robot System for Direct Cochlear Access , 2013, Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology.

[7]  Yann Nguyen,et al.  Friction Force Measurement During Cochlear Implant Insertion: Application to a Force-Controlled Insertion Tool Design , 2012, Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology.

[8]  Marco Caversaccio,et al.  Cone Beam and Micro-Computed Tomography Validation of Manual Array Insertion for Minimally Invasive Cochlear Implantation , 2013, Audiology and Neurotology.

[9]  Cilgia Dür,et al.  A Neuromonitoring Approach to Facial Nerve Preservation During Image-guided Robotic Cochlear Implantation , 2016, Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology.

[10]  E Lehnhardt,et al.  [Intracochlear placement of cochlear implant electrodes in soft surgery technique]. , 1993, HNO.

[11]  S Baron,et al.  Percutaneous inner-ear access via an image-guided industrial robot system , 2010, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[12]  Marco Caversaccio,et al.  Manual Electrode Array Insertion Through a Robot-Assisted Minimal Invasive Cochleostomy: Feasibility and Comparison of Two Different Electrode Array Subtypes , 2015, Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology.

[13]  Juan Anso,et al.  Temperature Prediction Model for Bone Drilling Based on Density Distribution and In Vivo Experiments for Minimally Invasive Robotic Cochlear Implantation , 2016, Annals of Biomedical Engineering.

[14]  Ramya Balachandran,et al.  Minimally invasive image‐guided cochlear implantation surgery: First report of clinical implementation , 2014, The Laryngoscope.

[15]  D. Schurzig,et al.  Design of a Tool Integrating Force Sensing With Automated Insertion in Cochlear Implantation , 2012, IEEE/ASME Transactions on Mechatronics.

[16]  Marco Caversaccio,et al.  Surgical planning tool for robotically assisted hearing aid implantation , 2013, International Journal of Computer Assisted Radiology and Surgery.

[17]  Marco Caversaccio,et al.  Semiautomatic Cochleostomy Target and Insertion Trajectory Planning for Minimally Invasive Cochlear Implantation , 2014, BioMed research international.

[18]  Thomas Klenzner,et al.  Navigation as a quality management tool in cochlear implant surgery , 2004, The Journal of Laryngology & Otology.

[19]  M. Igarashi,et al.  Surgical dimensions of the facial recess in adults and children. , 1988, Archives of otolaryngology--head & neck surgery.