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CAD/CAM 技术在 COVID-19 疫情期间预防牙科环境感染的优缺点。

Pros and Cons of CAD/CAM Technology for Infection Prevention in Dental Settings during COVID-19 Outbreak.

机构信息

Department of Biomedical, Surgical and Dental Sciences, University of Milano, 20122 Milan, Italy.

Department of Medicine and Surgery, Centro di Odontoiatria, Parma University, 43126 Parma, Italy.

出版信息

Sensors (Basel). 2021 Dec 22;22(1):49. doi: 10.3390/s22010049.

Abstract

The purpose of this commentary is to update the evidence reported in our previous review on the advantages and limitations of computer-aided design/computer-aided manufacturing technology in the promotion of dental business, as well as to guarantee patient and occupational safety. The COVID-19 pandemic led to an unprecedented focus on infection prevention; however, waves of COVID-19 follow one another, asymptomatic cases are nearly impossible to identify by triage in a dental setting, and the effectiveness of long-lasting immune protection through vaccination remains largely unknown. Different national laws and international guidelines (mainly USA-CDC, ECDC) have often brought about dissimilar awareness and operational choices, and in general, there has been very limited attention to this technology. Here, we discuss its advantages and limitations in light of: (a) presence of SARS-CoV-2 in the oral cavity, saliva, and dental biofilm and activation of dormant microbial infections; (b) the prevention of SARS-CoV-2 transmission by aerosol and fomite contamination; (c) the detection of various oral manifestations of COVID-19; (d) specific information for the reprocessing of the scanner tip and the ward from the manufacturers.

摘要

本述评旨在更新我们之前关于计算机辅助设计/计算机辅助制造技术在促进牙科业务方面的优势和局限性的综述中的证据,同时保障患者和职业安全。COVID-19 大流行使人们前所未有地关注感染预防;然而,一波又一波的 COVID-19 疫情接踵而至,在牙科环境中通过分诊几乎不可能识别无症状病例,疫苗接种带来的持久免疫保护的效果在很大程度上仍不清楚。不同的国家法律和国际准则(主要是美国疾控中心、欧洲疾控中心)经常导致不同的认识和操作选择,而且总体而言,对这项技术的关注非常有限。在这里,我们根据以下几点讨论其优势和局限性:(a)SARS-CoV-2 存在于口腔、唾液和牙科生物膜中,并激活潜伏的微生物感染;(b)通过气溶胶和污染物传播预防 SARS-CoV-2;(c)检测 COVID-19 的各种口腔表现;(d)制造商提供的有关扫描探头和病房的特定再处理信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3eeb/8747329/92b942ddaaa8/sensors-22-00049-g001.jpg

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