Vahid Danesh, Paul Arauz, Maede Boroji, Andrew Zhu, Mia Cottone, Elaine Gould, Fazel A Khan, Imin Kao
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引用次数: 0
Abstract
Pelvic bone tumor resections remain significantly challenging due to complex three-dimensional anatomy and limited surgical visualization. While accurate, current navigation systems and patient-specific instruments present limitations, including high costs, radiation exposure, workflow disruption, long production time, and lack of reusability. This study evaluates a real-time vision-guided surgical system combined with modular jigs to improve accuracy in pelvic bone tumor resections. A vision-guided surgical system combined with modular cutting jigs and real-time optical tracking was developed and validated. Five male pelvis sawbones were used, with each hemipelvis randomly assigned to either the vision-guided and modular jig system or the traditional freehand method. A total of 20 resection planes were analyzed for each method. Accuracy was assessed by measuring distance and angular deviations from the planned resection planes. The vision-guided and modular jig system significantly improved resection accuracy compared to the freehand method, reducing the mean distance deviation from 2.07 ± 1.71 mm to 1.01 ± 0.78 mm (p = 0.0193). In particular, all specimens resected using the vision-guided system exhibited errors of less than 3 mm. Angular deviations also showed significant improvements with roll angle deviation reduced from 15.36 ± 17.57° to 4.21 ± 3.46° (p = 0.0275), and pitch angle deviation decreased from 6.17 ± 4.58° to 1.84 ± 1.48° (p < 0.001). The proposed vision-guided and modular jig system significantly improves the accuracy of pelvic bone tumor resections while maintaining workflow efficiency. This cost-effective solution provides real-time guidance without the need for referencing external monitors, potentially improving surgical outcomes in complex pelvic bone tumor cases.
期刊介绍:
The Journal of Orthopaedic Research is the forum for the rapid publication of high quality reports of new information on the full spectrum of orthopaedic research, including life sciences, engineering, translational, and clinical studies.