18 March 2016 Visual feedback mounted on surgical tool: proof of concept
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Abstract
PURPOSE: When using surgical navigation systems in the operating room, feedback is typically displayed on a computer monitor. The surgeon’s attention is usually focused on the tool and the surgical site, so the display is typically out of the direct line of sight. The purpose is to develop a visual feedback device mounted on an electromagnetically tracked electrosurgical cauterizer which will provide navigation information for the surgeon in their field of view. METHODS: A study was conducted to determine the usefulness of the visual feedback in adjunct to the navigation system currently in use. Subjects were asked to follow tumor contours with the tracked cauterizer using 3D screen navigation with the mounted visual feedback and the 3D navigation screen alone. The movements of the cauterizer were recorded. RESULTS: The study showed a significant decrease in the subjects’ distance from the tumor margin, a significant increase in the subjects' confidence to avoid cutting the tumor and a statistically significant reduction in the subjects' perception of the need to look at the screen when using the visual feedback device compared to without. DISCUSSION: The LED feedback device helped the subjects feel confident in their ability to identify safe margins and minimize the amount of healthy tissue removed in the tumor resection. CONCLUSION: Good potential for the visual LED feedback has been shown. With additional training, this approach promises to lead to improved resection technique, with fewer cuts into the tumor and less healthy tissue removed.
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K. Carter, K. Carter, T. Vaughan, T. Vaughan, M. Holden, M. Holden, G. Gauvin, G. Gauvin, P. Pezeshki, P. Pezeshki, A. Lasso, A. Lasso, T. Ungi, T. Ungi, E. Morin, E. Morin, J. Rudan, J. Rudan, C. J. Engel, C. J. Engel, G. Fichtinger, G. Fichtinger, } "Visual feedback mounted on surgical tool: proof of concept", Proc. SPIE 9786, Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, 978614 (18 March 2016); doi: 10.1117/12.2214982; https://doi.org/10.1117/12.2214982
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