Department of Computer Engineering and Industrial Automation, School of Electrical and Computer Engineering, University of Campinas, Campinas, SP, Brazil.
Department of Computer Engineering and Industrial Automation, School of Electrical and Computer Engineering, University of Campinas, Campinas, SP, Brazil.
J Craniomaxillofac Surg. 2017 Sep;45(9):1399-1407. doi: 10.1016/j.jcms.2017.06.017. Epub 2017 Jul 4.
To develop a computer-based method for automating the repositioning of jaw segments in the skull during three-dimensional virtual treatment planning of orthognathic surgery. The method speeds up the planning phase of the orthognathic procedure, releasing surgeons from laborious and time-consuming tasks.
The method finds the optimal positions for the maxilla, mandibular body, and bony chin in the skull. Minimization of cephalometric differences between measured and standard values is considered. Cone-beam computed tomographic images acquired from four preoperative patients with skeletal malocclusion were used for evaluating the method.
Dentofacial problems of the four patients were rectified, including skeletal malocclusion, facial asymmetry, and jaw discrepancies.
The results show that the method is potentially able to be used in routine clinical practice as support for treatment-planning decisions in orthognathic surgery.
开发一种基于计算机的方法，以便在正颌手术的三维虚拟治疗计划中自动重新定位颅骨中的颌骨段。该方法可加快正颌手术的规划阶段，使外科医生摆脱繁琐且耗时的任务。
该方法为上颌骨、下颌体和骨性下巴在颅骨中的找到最佳位置。将测量值与标准值之间的头影测量差异最小化。使用来自四名患有骨骼错牙合的术前患者的锥形束计算机断层扫描图像来评估该方法。
四名患者的牙颌面问题得到了纠正，包括骨骼错牙合、面部不对称和颌骨差异。
结果表明，该方法有可能在常规临床实践中用作正颌手术治疗计划决策的支持。
