在三维种植规划软件图像上识别角化牙龈组织和软组织形态的技术。
Technique for identifying keratinized gingival tissue and soft tissue morphology on 3-dimensional implant-planning software images.
作者信息
Kaku Toshio, Ogino Yoichiro, Matsushita Yasuyuki, Koyano Kiyoshi
机构信息
Private practice, Nakatsu, Oita, Japan.
Assistant Professor, Section of Implant and Rehabilitative Dentistry, Division of Oral Rehabilitation, Faculty of Dental Science, Kyushu University, Fukuoka, Japan.
出版信息
J Prosthet Dent. 2016 Jul;116(1):21-4. doi: 10.1016/j.prosdent.2015.09.031. Epub 2016 Feb 26.
Preoperative 3-dimensional (3D) planning using cone beam computed tomography (CBCT) and 3D implant-planning software is used routinely for implant placement. However, despite its importance in planning surgical technique (conventional or flapless surgery) and prognosis, the distribution of keratinized gingival tissues (KGT) and soft tissue morphology cannot be identified with CBCT or planning software images. This report introduces a technique for identifying the distribution of KGT and soft tissue morphology during preoperative 3D planning.
术前使用锥形束计算机断层扫描（CBCT）和三维种植体规划软件进行三维（3D）规划，已常规用于种植体植入。然而，尽管其在规划手术技术（传统手术或无瓣手术）和预后方面很重要，但角化牙龈组织（KGT）的分布和软组织形态无法通过CBCT或规划软件图像来识别。本报告介绍了一种在术前三维规划期间识别KGT分布和软组织形态的技术。
Zotero 插件