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Simulator Training for Endovascular Neurosurgery
Published on: May 6, 2020
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Evaluation of a Touchless Angiography Suite Computer Controller for Neuroendovascular Procedures
Adam A Dmytriw1, Kevin Phan2, Jamie Tremaine3
1Department of Medical Imaging, University of Toronto, 263 McCaul St, M5T 1W7, Toronto, ON, Canada. adam.dmytriw@uhn.ca.
Clinical Neuroradiology
|November 8, 2019
Summary
The GestSure system, an FDA-registered device, enables touchless control of angiography images for neuroendovascular procedures. This technology is feasible and rapidly learned by medical professionals across all training levels.
Area of Science:
- Medical technology
- Neurosurgery
- Medical imaging
Background:
- The GestSure system is an FDA-registered, depth-sensing infrared device.
- Initially developed for touchless image navigation during open surgery.
- Its feasibility in neuroendovascular procedures using intracranial aneurysm coiling cases was unexplored.
Purpose of the Study:
- To explore the feasibility of the GestSure system for neurointerventionalists.
- To assess the learning curve of the gestural interface across different medical training levels.
- To evaluate the system's utility in manipulating angiographic images for aneurysm coiling.
Main Methods:
- Prospective cohort study comparing standard keyboard/mouse with the gestural interface.
- Involved 4 medical students, 6 residents, 6 fellows, and 5 staff neurointerventionalists.
- Training focused on gestures for 3D software functions; testing used real patient cases.
Main Results:
- High learning rates for specific tasks: 71.4% for LAO30, 80.9% for aneurysm neck, 76.2% for parent vessel.
- Staff neurointerventionalists showed greater consistency than trainees.
- Significant learning effect observed across all expertise levels, with fastest learning in staff.
Conclusions:
- Touchless angiography suite control using a gestural interface is feasible for neuroendovascular procedures.
- The GestSure system is rapidly learned by medical professionals at all training levels.
- The technology demonstrates potential for improving image manipulation in endovascular treatments.

