Amir Sternheim1, Michael Daly2, Jimmy Qiu2, Robert Weersink2, Harley Chan2, David Jaffray3, Jonathan C Irish4, Peter C Ferguson5, Jay S Wunder1. 1. Division of Orthopaedic Surgery, Mount Sinai Hospital, 600 University Avenue, Room 476, Toronto, ON M5G 1X5, Canada. E-mail address for A. Sternheim: amirsternheim@gmail.com. E-mail address for J.S. Wunder: jwunder@mtsinai.on.ca. 2. GTx Core-Techna Institute, University Health Network, 101 College Street, 7-1001, Toronto Medical Discovery Tower, Toronto, ON M5G 1L7, Canada. E-mail address for M. Daly: michael.daly@rmp.uhn.on.ca. E-mail address for J. Qiu: jimmy.qiu@rmp.uhn.on.ca. E-mail address for R. Weersink: robert.weersink@rmp.uhn.on.ca. E-mail address for H. Chan: harley.chan@rmp.uhn.on.ca. 3. Ontario Cancer Institute, 610 University Avenue, 5-631, Toronto, ON M5G 1X5, Canada. E-mail address: david.jaffray@rmp.uhn.ca. 4. Department of Otolaryngology-Head and Neck Surgery, Princess Margaret Cancer Centre, 610 University Avenue, 3-954, Toronto, ON M5G 2M9, Canada. E-mail address: jonathan.irish@uhn.ca. 5. Department of Surgery, Mount Sinai Hospital, 600 University Avenue, Suite 476G, Toronto, ON M5G 1X5, Canada. E-mail address: pferguson@mtsinai.on.ca.
Abstract
BACKGROUND: This Sawbones and cadaver study was performed to assess the accuracy and reproducibility of pelvic bone cuts made with use of a novel navigation system with a navigated osteotome and oscillating saw. METHODS: Using a novel navigation system and a three-dimensional planning tool, we navigated pelvic bone cuts that were representative of typical cuts made in pelvic tumor resections. The system includes a prototype mobile C-arm for intraoperative cone-beam computed tomography, real-time optical tracking (Polaris), and three-dimensional visualization software. Three-dimensional virtual radiographs were utilized in addition to triplanar (axial, sagittal, and coronal) navigation. In part one of the study, we navigated twenty-four sacral bone cuts in Sawbones models and validated our results in sixteen similar cuts in cadavers. In part two, we developed three Sawbones models of pelvic tumors based on actual patient scenarios and compared three navigated resections with three non-navigated resections for each tumor model. Part three assessed the accuracy of the system with multiple users. RESULTS: There were ninety navigated cuts in Sawbones that were compared with fifty-four non-navigated cuts. In the navigated Sawbones cuts, the mean entry and exit cuts were 1.4 ± 1 mm and 1.9 ± 1.2 mm from the planned cuts, respectively. In comparison, the entry and exit cuts in Sawbones that were not navigated were 2.8 ± 4.9 mm and 3.5 ± 4.6 mm away from the planned osteotomy site. The navigated cuts were significantly more accurate (p ≤ 0.01). In the cadaver study, navigated entry and exit cuts were 1.5 ± 0.9 mm and 2.1 ± 1.5 mm from the planned cuts. The variation among three different users was 1 mm on both the entry and exit cuts. CONCLUSIONS: Navigation to guide pelvic bone cuts is accurate and feasible. Three-dimensional radiographs should be used for improved accuracy. Navigated cuts were significantly more accurate than non-navigated cuts were. A margin of 5 mm between the target tumor volume and the planned cut plane would result in a negative margin resection in more than 95% of the cuts. CLINICAL RELEVANCE: The accuracy of pelvic bone tumor resections and pelvic osteotomies can be improved with navigation to within 5 mm of the planned cut.
BACKGROUND: This Sawbones and cadaver study was performed to assess the accuracy and reproducibility of pelvic bone cuts made with use of a novel navigation system with a navigated osteotome and oscillating saw. METHODS: Using a novel navigation system and a three-dimensional planning tool, we navigated pelvic bone cuts that were representative of typical cuts made in pelvic tumor resections. The system includes a prototype mobile C-arm for intraoperative cone-beam computed tomography, real-time optical tracking (Polaris), and three-dimensional visualization software. Three-dimensional virtual radiographs were utilized in addition to triplanar (axial, sagittal, and coronal) navigation. In part one of the study, we navigated twenty-four sacral bone cuts in Sawbones models and validated our results in sixteen similar cuts in cadavers. In part two, we developed three Sawbones models of pelvic tumors based on actual patient scenarios and compared three navigated resections with three non-navigated resections for each tumor model. Part three assessed the accuracy of the system with multiple users. RESULTS: There were ninety navigated cuts in Sawbones that were compared with fifty-four non-navigated cuts. In the navigated Sawbones cuts, the mean entry and exit cuts were 1.4 ± 1 mm and 1.9 ± 1.2 mm from the planned cuts, respectively. In comparison, the entry and exit cuts in Sawbones that were not navigated were 2.8 ± 4.9 mm and 3.5 ± 4.6 mm away from the planned osteotomy site. The navigated cuts were significantly more accurate (p ≤ 0.01). In the cadaver study, navigated entry and exit cuts were 1.5 ± 0.9 mm and 2.1 ± 1.5 mm from the planned cuts. The variation among three different users was 1 mm on both the entry and exit cuts. CONCLUSIONS: Navigation to guide pelvic bone cuts is accurate and feasible. Three-dimensional radiographs should be used for improved accuracy. Navigated cuts were significantly more accurate than non-navigated cuts were. A margin of 5 mm between the target tumor volume and the planned cut plane would result in a negative margin resection in more than 95% of the cuts. CLINICAL RELEVANCE: The accuracy of pelvic bone tumor resections and pelvic osteotomies can be improved with navigation to within 5 mm of the planned cut.
Authors: Rodolfo Zamora; Stephanie E Punt; Claudia Christman-Skieller; Cengiz Yildirim; John C Shapton; Ernest U Conrad Journal: Clin Orthop Relat Res Date: 2019-12 Impact factor: 4.176
Authors: Amir Sternheim; Dani Rotman; Prakash Nayak; Michelle Arkhangorodsky; Michael J Daly; Jonathan C Irish; Peter C Ferguson; Jay S Wunder Journal: Int J Comput Assist Radiol Surg Date: 2021-03-16 Impact factor: 2.924