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Electromagnetically tracked partial nephrectomy navigation: demonstration of concept
Author(s): Hillary Lia; Zachary Baum; Thomas Vaughan; Tamas Ungi; Thomas McGregor; Gabor Fichtinger
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Paper Abstract

PURPOSE: Partial nephrectomy is the preferred method for managing small renal masses. This procedure has significant advantages over radical nephrectomy. However, partial nephrectomy is under-used due to its difficulty. We propose a navigation system for laparoscopic partial nephrectomy. In this study, we evaluate the usability and accuracy of the navigation system. METHODS: An electromagnetically tracked navigation system for partial nephrectomy was developed. This system tracks the positions of the laparoscopic scissors, ultrasound probe, tumor, and calyces and vasculature. Phantom kidneys were created using mixtures of plastisol and cellulose. To test the system, the navigation display quality was measured through measurement of lag and frames per second displayed. The accuracy of the system was determined through fiducial registration. Finally, a study consisting of ten participants was conducted to assess the usability of the navigation system using the System Usability Survey. RESULTS: The mean System Usability Score of the navigation system was 82.5. The navigation display had an average lag of 243 milliseconds and showed 5 frames per second. The accuracy was measured with fiducial registration and found to have an RMS error of 2.84 mm. CONCLUSION: The results of this study suggest that the partial nephrectomy navigation system developed is both usable and accurate. Future work will include the conversion of the laparoscopic scissor tool tracking to optical. Further studies will be conducted to determine the effectiveness of this technology in tumor resection and avoidance of calyx and vasculature damage. We will additionally explore this system as a training tool.

Paper Details

Date Published: 8 March 2019
PDF: 7 pages
Proc. SPIE 10951, Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling, 109512W (8 March 2019); doi: 10.1117/12.2513565
Show Author Affiliations
Hillary Lia, Lab. for Percutaneous Surgery, Queen's Univ. (Canada)
Zachary Baum, Lab. for Percutaneous Surgery, Queen's Univ. (Canada)
Thomas Vaughan, Lab. for Percutaneous Surgery, Queen's Univ. (Canada)
Tamas Ungi, Lab. for Percutaneous Surgery, Queen's Univ. (Canada)
Thomas McGregor, Queen's Univ. (Canada)
Gabor Fichtinger, Lab. for Percutaneous Surgery, Queen's Univ. (Canada)


Published in SPIE Proceedings Vol. 10951:
Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling
Baowei Fei; Cristian A. Linte, Editor(s)

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