Improved Accuracy in Pelvic Tumor Resections Using a Real-Time Vision-Guided Surgical System
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866915313096851456 |
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| author | Danesh, Vahid Arauz, Paul Boroji, Maede Zhu, Andrew Cottone, Mia Gould, Elaine Khan, Fazel A. Kao, Imin |
| author_facet | Danesh, Vahid Arauz, Paul Boroji, Maede Zhu, Andrew Cottone, Mia Gould, Elaine Khan, Fazel A. Kao, Imin |
| contents | Pelvic bone tumor resections remain significantly challenging due to complex three-dimensional anatomy and limited surgical visualization. Current navigation systems and patient-specific instruments, while accurate, 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 female pelvis sawbones were used, with each hemipelvis randomly assigned to either the vision-guided and modular jig system or traditional freehand method. A total of twenty 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 $\pm$ 1.71 mm to 1.01 $\pm$ 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 $\pm$ 17.57$^\circ$ to 4.21 $\pm$ 3.46$^\circ$ (p=0.0275), and pitch angle deviation decreased from 6.17 $\pm$ 4.58$^\circ$ to 1.84 $\pm$ 1.48$^\circ$ (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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2505_23984 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Improved Accuracy in Pelvic Tumor Resections Using a Real-Time Vision-Guided Surgical System Danesh, Vahid Arauz, Paul Boroji, Maede Zhu, Andrew Cottone, Mia Gould, Elaine Khan, Fazel A. Kao, Imin Image and Video Processing Human-Computer Interaction Pelvic bone tumor resections remain significantly challenging due to complex three-dimensional anatomy and limited surgical visualization. Current navigation systems and patient-specific instruments, while accurate, 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 female pelvis sawbones were used, with each hemipelvis randomly assigned to either the vision-guided and modular jig system or traditional freehand method. A total of twenty 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 $\pm$ 1.71 mm to 1.01 $\pm$ 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 $\pm$ 17.57$^\circ$ to 4.21 $\pm$ 3.46$^\circ$ (p=0.0275), and pitch angle deviation decreased from 6.17 $\pm$ 4.58$^\circ$ to 1.84 $\pm$ 1.48$^\circ$ (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. |
| title | Improved Accuracy in Pelvic Tumor Resections Using a Real-Time Vision-Guided Surgical System |
| topic | Image and Video Processing Human-Computer Interaction |
| url | https://arxiv.org/abs/2505.23984 |