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验证新的软组织软件在正颌手术规划中的应用。

Validation of new soft tissue software in orthognathic surgery planning.

机构信息

Unit of Oral and Maxillofacial Surgery, S. Orsola-Malpighi-Hospital, University of Bologna, Bologna, Italy.

出版信息

Int J Oral Maxillofac Surg. 2011 Jan;40(1):26-32. doi: 10.1016/j.ijom.2010.09.004. Epub 2010 Oct 28.

DOI:10.1016/j.ijom.2010.09.004
PMID:21030211
Abstract

This study tests computer imaging software (SurgiCase-CMF(®), Materialise) that enables surgeons to perform virtual orthognathic surgical planning using a three dimensional (3D) utility that previews the final shape of hard and soft tissues. It includes a soft tissue simulation module that has created images of soft tissues altered through bimaxillary orthognathic surgery to correct facial deformities. Cephalometric radiographs and CT scans were taken of each patient before and after surgery. The surgical planning system consists of four stages: CT data reconstruction; 3D model generation of facial hard and soft tissue; different virtual surgical planning and simulation modes; and various preoperative previews of the soft tissues. Surgical planning and simulation is based on a 3D CT reconstructed bone model and soft tissue image generation is based on physical algorithms. The software rapidly follows clinical options to generate a series of simulations and soft tissue models; to avoid TMJ functional problems, pre-surgical plans were evaluated by an orthodontist. Comparing simulation results with postoperative CT data, the reliability of the soft tissues preview was >91%. SurgiCase(®) software can provide a realistic, accurate forecast of the patient's facial appearance after surgery.

摘要

本研究测试了一款计算机成像软件(SurgiCase-CMF(®),Materialise),该软件使外科医生能够使用三维(3D)工具进行虚拟正颌手术规划,预览硬组织和软组织的最终形状。它包括一个软组织模拟模块,该模块创建了通过双颌正颌手术矫正面部畸形后的软组织图像。在手术前后,对每位患者进行了头颅侧位片和 CT 扫描。手术规划系统包括四个阶段:CT 数据重建;面部硬组织和软组织的 3D 模型生成;不同的虚拟手术规划和模拟模式;以及软组织的各种术前预览。手术规划和模拟基于 3D CT 重建的骨骼模型,软组织图像生成基于物理算法。软件根据临床选项快速生成一系列模拟和软组织模型;为避免 TMJ 功能问题,术前计划由正畸医生进行评估。将模拟结果与术后 CT 数据进行比较,软组织预览的可靠性>91%。SurgiCase(®)软件可以为患者手术后的面部外观提供真实、准确的预测。

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