Raith Stefan, Rauen Alexandra, Möhlhenrich Stephan Christian, Ayoub Nassim, Peters Florian, Steiner Timm, Hölzle Frank, Modabber Ali
Department of Oral and Maxillofacial Surgery, RWTH Aachen University Hospital, Aachen, Germany.
Department of Orthodontics, RWTH Aachen University Hospital, Aachen, Germany.
Int J Med Robot. 2018 Apr;14(2). doi: 10.1002/rcs.1894. Epub 2018 Feb 9.
Reconstruction of the mandible with autologous transplants is a challenging task and current computer-aided surgical planning remains cumbersome. Thus, the aim of the present study was to create an automated computational approach for this procedure.
The developed algorithm is based on curves following characteristic anatomical features. Geometrical data from a physiological mandible and a fibula were used to generate six different defects, and geometrical accordance was investigated to demonstrate the applicability of the method with different reconstruction parameters (n = 309).
The method proved to be applicable, it recognized given clinical constraints and the values of accordance could be used to quantify the success of reconstructions.
With the present approach, the complex three-dimensional task of mandibular reconstruction was simplified, and thus it allows implementation in clinical routine. The computational planning that is proposed may be used to design cutting guides or as geometrical input data for real-time navigated surgery.
采用自体移植重建下颌骨是一项具有挑战性的任务，目前的计算机辅助手术规划仍然繁琐。因此，本研究的目的是为该手术创建一种自动化的计算方法。
所开发的算法基于遵循特征解剖特征的曲线。使用来自生理下颌骨和腓骨的几何数据生成六种不同的缺损，并研究几何一致性以证明该方法在不同重建参数下的适用性（n = 309）。
该方法被证明是适用的，它识别出给定的临床限制，并且一致性值可用于量化重建的成功率。
通过本方法，下颌骨重建这一复杂的三维任务得以简化，因此可应用于临床常规。所提出的计算规划可用于设计切割导板或作为实时导航手术的几何输入数据。
