边距(机器学习)
过程(计算)
固定修复术
计算机科学
康复
牙科
医学
机器学习
物理疗法
操作系统
作者
Haiyang Yu,Li Yue,Weicai Liu,Feng Liu,Li‐na Niu,Longquan Shao,Hongbing Liao,Xiaoping Luo,Hongbo Li,Qingsong Jiang,Hao Yu,Bin Zhao,Zhe Wu,Changyi Li,Guofeng Wu,Yan Wang,Yandong Mou,Yunsong Liu,Haiyang Zhang,Jihua Chen,Hongchen Liu
出处
期刊:PubMed
日期:2022-03-25
卷期号:40 (2): 123-133
标识
DOI:10.7518/hxkq.2022.02.001
摘要
In esthetic rehabilitation, methods used to enhance the margin quality have always been the focus and difficulty of improving the level of diagnosis and treatment, prevention and treatment of complications, and collaboration between clinicians and technicians. However, it is impeded by the ambiguous definition and classification of margin, unstandardized tooth preparation, manufacturing process of restoration, and lack of reliable means of checking the quantitative requirements of preparation or restoration. The digital technologies that are increasingly applied, such as intra-oral scanner, impression scanner, and computerized numerical control cutting machine, have strict requirements about margin quality. Failure of recognizing margins by these scanners will hinder the digital process of diagnosis and treatment. Even if these sharp and narrow margins are successfully scanned, they cannot be milled accurately. To overcome these problems, this article demonstrated the clear and complete definition of preparation margin and restoration margin, as well as their subclassifications, by analyzing the target restoration space from a geometric perspective. Practical approaches to measuring the margin width and inspecting the margin quality were proposed. The new and full understanding and proposal about preparation margin and restoration margin characterized by measurements will effectively support the thoroughly digitalized process of esthetic rehabilitation using porcelain in fixed prosthodontics, which is based on the guidance of values.
科研通智能强力驱动
Strongly Powered by AbleSci AI