Baan Frank, Liebregts Jeroen, Xi Tong, Schreurs Ruud, de Koning Martien, Bergé Stefaan, Maal Thomas
Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
PLoS One. 2016 Feb 22;11(2):e0149625. doi: 10.1371/journal.pone.0149625. eCollection 2016.
The purpose of this study was to present and validate an innovative semi-automatic approach to quantify the accuracy of the surgical outcome in relation to 3D virtual orthognathic planning among patients who underwent bimaxillary surgery.
For the validation of this new semi-automatic approach, CBCT scans of ten patients who underwent bimaxillary surgery were acquired pre-operatively. Individualized 3D virtual operation plans were made for all patients prior to surgery. During surgery, the maxillary and mandibular segments were positioned as planned by using 3D milled interocclusal wafers. Consequently, post-operative CBCT scan were acquired. The 3D rendered pre- and postoperative virtual head models were aligned by voxel-based registration upon the anterior cranial base. To calculate the discrepancies between the 3D planning and the actual surgical outcome, the 3D planned maxillary and mandibular segments were segmented and superimposed upon the postoperative maxillary and mandibular segments. The translation matrices obtained from this registration process were translated into translational and rotational discrepancies between the 3D planning and the surgical outcome, by using the newly developed tool, the OrthoGnathicAnalyser. To evaluate the reproducibility of this method, the process was performed by two independent observers multiple times.
Low intra-observer and inter-observer variations in measurement error (mean error < 0.25 mm) and high intraclass correlation coefficients (> 0.97) were found, supportive of the observer independent character of the OrthoGnathicAnalyser. The pitch of the maxilla and mandible showed the highest discrepancy between the 3D planning and the postoperative results, 2.72° and 2.75° respectively.
This novel method provides a reproducible tool for the evaluation of bimaxillary surgery, making it possible to compare larger patient groups in an objective and time-efficient manner in order to optimize the current workflow in orthognathic surgery.
本研究旨在提出并验证一种创新的半自动方法,以量化双颌手术患者手术结果相对于三维虚拟正颌手术计划的准确性。
为验证这种新的半自动方法,术前获取了10例接受双颌手术患者的CBCT扫描图像。术前为所有患者制定个性化的三维虚拟手术计划。手术过程中,使用三维铣削的咬合间导板将上颌和下颌节段按计划就位。随后,获取术后CBCT扫描图像。通过基于体素的配准,将术前和术后的三维虚拟头部模型以前颅底为基准进行对齐。为计算三维计划与实际手术结果之间的差异,对三维计划的上颌和下颌节段进行分割,并叠加在术后的上颌和下颌节段上。通过使用新开发的工具OrthoGnathicAnalyser,将从该配准过程中获得的平移矩阵转换为三维计划与手术结果之间的平移和旋转差异。为评估该方法的可重复性,由两名独立观察者多次进行该过程。
测量误差的观察者内和观察者间变异较低(平均误差<0.25mm),组内相关系数较高(>0.97),支持OrthoGnathicAnalyser的观察者独立性。上颌和下颌的俯仰在三维计划与术后结果之间显示出最大差异,分别为2.72°和2.75°。
这种新方法为双颌手术的评估提供了一种可重复的工具,使得能够以客观且高效的方式比较更大的患者群体,从而优化正颌手术的当前工作流程。