Design and Experimental Evaluation of a Novel Robot-Assisted Surgical System for Pelvic Fracture Closed Reduction

This paper designs a novel clinical-oriented robot-assisted surgical system (RASS) for pelvic fracture closed reduction, including three core parts: preoperative planning system, intraoperative navigation system and reduction robot. In preoperative planning system, a virtual reduction method based on the Statistical Shape Model (SSM) and pelvic partial surface data is adopted, providing personalized and detailed preoperative plans with high-efficiency and enhanced adaptability. Then, a serial-parallel hybrid reduction robot with robot autonomous and master-slave reduction mode switching control strategy is designed, combined with the intuitive and real-time guidance of the intraoperative navigation system, achieving flexible and precise reduction operations. Additionally, clinical solution research based on the designed RASS is developed and evaluated by ten pelvic models and five animal experiments. In the pelvic model experiments, the root mean square error (RMSE) of the distance between the reduced and intact pelvic point cloud is 1.0mm, and the three points error of 10 cases are all within 2.0mm, achieving an excellent reduction effect. In the animal experiments, the four point-pairs distance decreases from 26.7±1.04mm to 5.86±0.82mm, and the mean distance between the two point clouds of the "Pig-081" before modeling and after reduction is 2.81mm, which further confirmed the effectiveness of the system, as well as the feasibility and safety of the clinical solution. The designed novel RASS provides a promising solution in the treatment of pelvic fractures, and the experimental results lay the foundation for further clinical application.

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Publication Details

Journal
IEEE Transactions on Automation Science and Engineering
Published
2025-01-01
DOI
https://doi.org/10.1109/tase.2025.3615799
Primary Topic
Pelvic and Acetabular Injuries
Type
article
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article

Design and Experimental Evaluation of a Novel Robot-Assisted Surgical System for Pelvic Fracture Closed Reduction

Xiao Cheng, Shaolong Kuang, Wei Kou, Haixia Wang et al.
IEEE Transactions on Automation Science and Engineering
Pelvic and Acetabular Injuries
article

Design and Experimental Evaluation of a Novel Robot-Assisted Surgical System for Pelvic Fracture Closed Reduction

Xiao Cheng, Shaolong Kuang, Wei Kou, Haixia Wang, Xinyu Chen, Dongya Li
article en

Abstract

This paper designs a novel clinical-oriented robot-assisted surgical system (RASS) for pelvic fracture closed reduction, including three core parts: preoperative planning system, intraoperative navigation system and reduction robot. In preoperative planning system, a virtual reduction method based on the Statistical Shape Model (SSM) and pelvic partial surface data is adopted, providing personalized and detailed preoperative plans with high-efficiency and enhanced adaptability. Then, a serial-parallel hybrid reduction robot with robot autonomous and master-slave reduction mode switching control strategy is designed, combined with the intuitive and real-time guidance of the intraoperative navigation system, achieving flexible and precise reduction operations. Additionally, clinical solution research based on the designed RASS is developed and evaluated by ten pelvic models and five animal experiments. In the pelvic model experiments, the root mean square error (RMSE) of the distance between the reduced and intact pelvic point cloud is 1.0mm, and the three points error of 10 cases are all within 2.0mm, achieving an excellent reduction effect. In the animal experiments, the four point-pairs distance decreases from 26.7±1.04mm to 5.86±0.82mm, and the mean distance between the two point clouds of the "Pig-081" before modeling and after reduction is 2.81mm, which further confirmed the effectiveness of the system, as well as the feasibility and safety of the clinical solution. The designed novel RASS provides a promising solution in the treatment of pelvic fractures, and the experimental results lay the foundation for further clinical application.

IEEE Transactions on Automation Science and EngineeringVol. 22
Soochow University (TW), Soochow University (CN), Shenzhen Technology University (CN)
Openalex Percentile: Top 57%
Pelvic and Acetabular Injuries
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