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Publication Detail
An intuitive surgical handle design for robotic neurosurgery
  • Publication Type:
    Journal article
  • Publication Sub Type:
  • Authors:
    Dimitrakakis E, Lindenroth L, Dwyer G, Aylmore H, Dorward NL, Marcus HJ, Stoyanov D
  • Publisher:
    Springer Science and Business Media LLC
  • Publication date:
  • Journal:
    International Journal of Computer Assisted Radiology and Surgery
  • Status:
    Published online
  • Print ISSN:
  • Language:
PURPOSE: The expanded endoscopic endonasal approach, a representative example of keyhole brain surgery, allows access to the pituitary gland and surrounding areas through the nasal and sphenoid cavities. Manipulating rigid instruments through these constrained spaces makes this approach technically challenging, and thus, a handheld robotic instrument could expand the surgeon's capabilities. In this study, we present an intuitive handle prototype for such a robotic instrument. METHODS: We have designed and fabricated a surgical instrument handle prototype that maps the surgeon's wrist directly to the robot joints. To alleviate the surgeon's wrist of any excessive strain and fatigue, the tool is mounted on the surgeon's forearm, making it parallel with the instrument's shaft. To evaluate the handle's performance and limitations, we constructed a surgical task simulator and compared our novel handle with a standard neurosurgical tool, with the tasks being performed by a consultant neurosurgeon. RESULTS: While using the proposed handle, the surgeon's average success rate was [Formula: see text], compared to [Formula: see text] when using a conventional tool. Additionally, the surgeon's body posture while using the suggested prototype was deemed acceptable by the Rapid Upper Limb Assessment ergonomic survey, while early results indicate the absence of a learning curve. CONCLUSIONS: Based on these preliminary results, the proposed handle prototype could offer an improvement over current neurosurgical tools and procedural ergonomics. By redirecting forces applied during the procedure to the forearm of the surgeon, and allowing for intuitive surgeon wrist to robot-joints movement mapping without compromising the robotic end effector's expanded workspace, we believe that this handle could prove a substantial step toward improved neurosurgical instrumentation.
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Dept of Med Phys & Biomedical Eng
Dept of Computer Science
UCL Queen Square Institute of Neurology
Dept of Computer Science
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