Analysis of the application of orthopedic robot assisted technology in bone tumor surgery
10.3760/cma.j.cn121113-20220829-00485
- VernacularTitle:骨科机器人辅助技术在骨肿瘤手术中的应用现状
- Author:
Yongkun YANG
1
;
Weifeng LIU
Author Information
1. 北京积水潭医院骨肿瘤科，北京 100035
- Keywords:
Robotic surgical procedures;
Bone neoplasms;
Artificial intelligence;
Precision medicine
- From:
Chinese Journal of Orthopaedics
2023;43(5):337-342
- CountryChina
- Language:Chinese
-
Abstract:
Intellectualization and precision are important directions of development and research highlights of orthopaedic surgery at present. The orthopaedic robot-assisted technology is gradually applied to various orthopaedic specialties. However the application of robot-assisted technology in bone tumor surgery started relatively late and the scenarios suitable for clinical application are relatively limited. By searching PubMed, Embase, ScienceDirect, CNKI and Wanfang database about the application of orthopaedic robot-assisted technology in the field of bone tumor surgery, we analyzed its intelligence and precision requirements, sorted and analyzed the current clinical application of orthopaedic robot in bone tumor surgery. The robot-assisted puncture biopsy of bone tumor could improve the accuracy and positive rate, especially for tumors with small size, deep location and complex local anatomical structure. For robot-assisted precise osteotomy for bone tumors, the accuracy and error analysis of manual osteotomy and robot-assisted osteotomy in the literatures were compared. The robot-assisted technology has the potential to improve the accuracy of tumor resection at complex anatomical structures such as sacrum and pelvic tumors. For the application of robot-assisted technology in spinal tumor surgery, literature reports suggested that it can improve the accuracy of pedicle screw placement and the safety of minimally invasive vertebroplasty, and can be used for minimally invasive precise surgical resection of spinal tumors. At the same time, the existing problems and development directions were analyzed, such as cost-effectiveness, accuracy of registration, soft tissue recognition and feedback, error superposition and error correction, so as to provide reference basis for further clinical application and study.
