Abstract
Purpose
Reverse shoulder arthroplasty has demonstrated excellent clinical efficacy for patients with shoulder joint diseases and is increasingly in demand. Traditional surgery faces challenges such as limited exposed surfaces and a narrow field of vision, leading to a shorter prosthesis lifespan and a higher risk of complications. In this study, an optical navigation system was proposed to assist surgeons in real-time tracking of the surgical scene.
Methods
Our optical navigation system was developed using the NDI Polaris Spectra device and several open-source platforms. The first step involved using the preoperative medical image to plan screw implantation paths. Real-time tracking of the patient phantom or cadaver and the surgical instrument was achieved through registration and calibration algorithms. Surgeons were guided on drilling through visualization methods. Postoperative results were compared with the planned implantation paths, and an algorithm was introduced to correct errors caused by the incorrect beginning points.
Results
Experiments involved three scapula cadavers and their corresponding phantoms with identical anatomy. For each experiment, three holes were completed with drills with diameters of 3.2 mm and 8.0 mm, respectively. Comparisons between the postoperative actual screw implantation paths and the preoperative planned implantation paths revealed an entry error of 1.05 ± 0.15 mm and an angle error of 2.47 ± 0.55° for phantom experiments. For cadaver experiments, the entry error was 1.53 ± 0.22 mm, and the angle error was 4.91 ± 0.78°.
Conclusion
Our proposed optical navigation system successfully achieved real-time tracking of the surgical site, encompassing the patient phantom or cadaver and surgical instrument, thereby aiding surgeons in achieving precise surgical outcomes. Future study will explore the integration of robots to further enhance surgical efficiency and effectiveness.
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Funding
This study was funded by grants from National Key R&D Program of China (2022YFE0197900), National Natural Science Foundation of China (82330063), Shanghai Jiao Tong University Foundation on Medical and Technological Joint Science Research (YG2021ZD21; YG2021QN72; YG2022QN056; YG2023ZD19; YG2023ZD15), SJTU Global Strategic Partnership Fund (2023 SJTU-CORNELL), the Funding of Xiamen Science and Technology Bureau (3502Z20221012), and the Academician Expert Workstation of Jinshan District (jszjz2020007Y).
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Zhu, Q., Li, C., Fan, X. et al. The development of a novel navigation system for reverse shoulder arthroplasty and its accuracy: a phantom and cadaveric study. Int J CARS (2024). https://doi.org/10.1007/s11548-024-03129-8
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DOI: https://doi.org/10.1007/s11548-024-03129-8