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

Jiaxuan Liu, Haitao Li, Bolun Zeng, Huixiang Wang, Ron Kikinis, Leo Joskowicz, Xiaojun Chen
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Abstract

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.

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基于几何形状的端到端管道,用于骨盆骨折复位和固定的术前自动手术规划。
骨盆骨折复位手术的计算机辅助术前规划有可能提高手术的准确性并减少并发症。然而,骨盆骨折的多样性和细小骨折片的干扰给进行可靠的自动术前规划带来了巨大挑战。在本文中,我们介绍了骨盆骨折手术的综合自动术前规划流水线。它包括骨盆骨折标记、骨折复位规划和定制螺钉植入。首先,根据骨折断面的分离情况自动进行骨折标注。然后,在自动提取和配对骨折面的基础上进行骨折缩小规划。最后,利用相邻的骨折面规划螺钉植入。在 14 个临床病例中,对不同类型的骨盆骨折进行了测试。在复位规划中,我们的方法达到了 2.56 毫米和 3.31°的平移和旋转精度。在固定规划方面,临床接受率达到 86.7%。这些结果证明了我们的方法在临床应用中的可行性。我们的方法对复杂的多体骨折具有准确性和可靠性,可提供有效的临床术前指导,并可提高骨盆骨折复位手术的准确性。
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