An end-to-end geometry-based pipeline for automatic preoperative surgical planning of pelvic fracture reduction and fixation

• Published in: IEEE transactions on medical imaging Vol. PP; p. 1
• Main Authors: Liu, Jiaxuan, Li, Haitao, Zeng, Bolun, Wang, Huixiang, Kikinis, Ron, Joskowicz, Leo, Chen, Xiaojun
• Format: Journal Article
• Language: English
• Published: United States IEEE 16.07.2024
• Subjects: Bones; Computer-assisted surgery; Fasteners; Labeling; pelvic fracture reduction; Pipelines; Planning; preoperative planning; Surface cracks; Surgery
• ISSN: 0278-0062; 1558-254X; 1558-254X
• DOI: 10.1109/TMI.2024.3429403

Computer-assisted preoperative planning of pelvic fracture reduction surgery has the potential to increase the accuracy of the surgery and to reduce complications. However, the diversity of the pelvic fractures and the disturbance of small fracture fragments present a great challenge to perform reliable automatic preoperative planning. In this paper, we present a comprehensive and automatic preoperative planning pipeline for pelvic fracture surgery. It includes pelvic fracture labeling, reduction planning of the fracture, and customized screw implantation. First, automatic bone fracture labeling is performed based on the separation of the fracture sections. Then, fracture reduction planning is performed based on automatic extraction and pairing of the fracture surfaces. Finally, screw implantation is planned using the adjoint fracture surfaces. The proposed pipeline was tested on different types of pelvic fracture in 14 clinical cases. Our method achieved a translational and rotational accuracy of 2.56 mm and 3.31° in reduction planning. For fixation planning, a clinical acceptance rate of 86.7% was achieved. The results demonstrate the feasibility of the clinical application of our method. Our method has shown accuracy and reliability for complex multi-body bone fractures, which may provide effective clinical preoperative guidance and may improve the accuracy of pelvic fracture reduction surgery.