Dean David, Min Kyoung-June, Bond Angus
Department of Neurological Surgery and the Research Institute, University Hospitals of Cleveland, Cleveland, Ohio 44106, USA.
J Craniofac Surg. 2003 Nov;14(6):819-32. doi: 10.1097/00001665-200311000-00002.
The authors' objective in this project was to replace current state-of-the-art manual methods for preoperative production (i.e., prefabrication) of large-format (>100 cm2) cranioplasties with a system for computer-aided design and direct computer-aided manufacture of the implant's shape. This system uses standard 3D CT data, requires no specialized training, and produces an accurately fitting cranioplasty that can be recast in the physician's material of choice (e.g., polymethylmethacrylate [PMMA] or pre-bent titanium plating). The authors begin by locating the cranial defect margin on a skull surface image generated from a 3D head CT-scan. A right-to-left mirrored or average 3D skull surface template image is then fit to the patient's skull surface image. The area around the defect is cut out and stitched to the previously isolated defect margin. This defect-filling surface is then tapered and 3D printed. The 3D printed implant model is then recast in a biocompatible material. Manually generated cranial implants produced for five patients were compared with implants resulting from this new computer-based method. All five computer-generated implants were better fitting and more cosmetically suitable than the manually generated skull plates received by these patients. These well-fitting implants are more likely to protect the brain from trauma and infection. Therefore, the authors conclude that their new production method provides a better result with less expense than current methods for preoperative or intraoperative fabrication of large-format cranioplasties.
作者在该项目中的目标是用一种用于计算机辅助设计和直接计算机辅助制造植入物形状的系统,取代当前用于术前制作(即预制)大幅面(>100平方厘米)颅骨修复体的最先进手动方法。该系统使用标准的3D CT数据,无需专门培训,并能制作出精确适配的颅骨修复体,可根据医生的选择材料(如聚甲基丙烯酸甲酯[PMMA]或预弯钛板)进行重塑。作者首先在由3D头部CT扫描生成的颅骨表面图像上确定颅骨缺损边缘。然后将从右到左镜像或平均的3D颅骨表面模板图像与患者的颅骨表面图像拟合。缺损周围的区域被裁剪下来并缝合到先前分离的缺损边缘。然后将这个缺损填充表面进行渐变处理并3D打印。接着将3D打印的植入物模型用生物相容性材料进行重塑。将为5名患者手工制作的颅骨植入物与这种基于计算机的新方法制作的植入物进行比较。所有5个计算机生成的植入物比这些患者收到的手工制作的颅骨板更贴合且在美容上更合适。这些贴合良好的植入物更有可能保护大脑免受创伤和感染。因此,作者得出结论,他们的新制作方法比当前用于术前或术中制作大幅面颅骨修复体的方法花费更少且效果更好。