Intelligent robot-assisted minimally invasive reduction system for reduction of unstable pelvic fractures: a cadaveric study
10.3760/cma.j.cn115530-20220220-00100
- VernacularTitle:智能化骨折复位机器人系统辅助骨盆骨折微创复位的解剖学研究
- Author:
Chunpeng ZHAO
1
;
Yu WANG
;
Xu SUN
;
Gang ZHU
;
Honghu XIAO
;
Lijia ZHANG
;
Xiangrui ZHAO
;
Shuchang SHI
;
Xinbao WU
Author Information
1. 北京积水潭医院创伤骨科，北京 100035
- Keywords:
Robots;
Surgical procedures, minimally invasive;
Anatomy;
Pelvic fracture;
Fracture reduction
- From:
Chinese Journal of Orthopaedic Trauma
2022;24(5):372-379
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate a self-designed intelligent robot-assisted minimally invasive reduction system in the reduction of unstable pelvic fractures by a cadaveric anatomic study.Methods:Ten unembalmed cadavers (7 male and 3 female ones) were used in this study. In each cadaveric specimen an unstable pelvic fracture was created in accordance with clinical case models (3 cases of type B1, 4 cases of type B2 and 3 cases of type C1 by the Tile classification). A self-designed intelligent robot-assisted minimally invasive reduction system was used to assist the reduction in the cadaveric models. Intraoperative registration and navigation time, autonomous reduction time, total operation time and reduction error were measured.Results:Effective reduction was completed in 10 bone models with the assistance of our self-designed intelligent robot-assisted minimally invasive reduction system. The time for intraoperative registration and navigation averaged 47.4 min (from 32 to 74 min), the autonomous reduction time 73.9 min (from 48 to 96 min), and the total operation time 121.3 min (from 83 to 170 min). The reduction error averaged 2.02 mm (from 1.67 to 2.62 mm), and the reduction results met the clinical requirements.Conclusion:Our self-designed intelligent robot-assisted minimally invasive reduction system is a new clinical solution for unstable pelvic fractures, showing advantages of agreement with clinical operative procedures, high reduction accuracy and operational feasibility, and reduced radiation exposure compared to a conventional operation.
