Xu Xinkai, Zhao Jianjiang, Tian Sukun, Liu Zhongning, Zhao Xiaoyi, Zhao Xiaobo, Jiang Tengfei, Chen Xiaojun, Ma Chao, Sun Yuchun
Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China.
Center of Digital Dentistry, Department of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & NHC Key Laboratory of Digital Stomatology & Beijing Key Laboratory of Digital Stomatology & Key Laboratory of Digital Stomatology, Chinese Academy of Medical Sciences, Beijing 100081, China.
Beijing Da Xue Xue Bao Yi Xue Ban. 2025 Feb 18;57(1):121-127. doi: 10.19723/j.issn.1671-167X.2025.01.018.
To quantitatively evaluate the accuracy of data obtained from liquid-interference surfaces using an intraoral 3D scanner (IOS) integrated with a compressed airflow system, so as to provide clinical proof of accuracy for the application of the compressed airflow system-based scanning head in improving data quality on liquid-interference surfaces.
The study selected a standard model as the scanning object, adhering to the "YY/T 1818-2022 Dental Science Intraoral Digital Impression Scanner" guidelines, a standard that defined parameters for intraoral scanning. To establish a baseline for accuracy, the ATOS Q 12M scanner, known for its high precision, was used to generate true reference values. These true values served as the benchmark for evaluating the IOS performance. Building on the design of an existing scanner, a new scanning head was developed to integrate with a compressed airflow system. This new design aimed to help the IOS capture high-precision data on surfaces where liquid-interference, such as saliva, might otherwise degrade scanning accuracy. The traditional scanning method, without airflow assistance, was employed as a control group for comparison. The study included five groups in total, one control group and four experimental groups, to investigate the effects of scanning lens obstruction, airflow presence, liquid media, and the use of the new scanning head on scanning process and accuracy. Each group underwent 15 scans, generating ample data for a robust statistical comparison. By evaluating trueness and precision in each group, the study assessed the impact of the compressed airflow system on the accuracy of IOS data collected from liquid-interference surfaces. Additionally, we selected Elite and Primescan scanners as references for numerical accuracy values.
The scanning accuracy on liquid-interference surfaces was significantly reduced in terms of both trueness and precision [Trueness: 18.5 (6.5) . 38.0 (6.7), < 0.05; Precision: 19.1 (8.5) . 31.7 (15.0), < 0.05]. The use of the new scanning head assisted by the compressed airflow system significantly improved the scanning accuracy [Trueness: 22.3(7.6) . 38.0 (6.7), < 0.05; Precision: 25.8 (9.6) . 31.7 (15.0), < 0.05].
The scanning head based on the compressed airflow system can assist in improving the accuracy of data obtained from liquid-interference surfaces by the IOS.
使用集成压缩气流系统的口腔内三维扫描仪(IOS)定量评估从液体干扰表面获取的数据的准确性,从而为基于压缩气流系统的扫描头在提高液体干扰表面数据质量方面的应用提供准确性的临床证据。
本研究选择一个标准模型作为扫描对象,遵循“YY/T 1818 - 2022口腔医学口腔内数字印模扫描仪”指南,该标准定义了口腔内扫描的参数。为了建立准确性基线,使用以高精度著称的ATOS Q 12M扫描仪生成真实参考值。这些真实值用作评估IOS性能的基准。在现有扫描仪设计的基础上,开发了一种新的扫描头以与压缩气流系统集成。这种新设计旨在帮助IOS在诸如唾液等液体干扰可能会降低扫描准确性的表面上捕获高精度数据。采用无气流辅助的传统扫描方法作为对照组进行比较。该研究总共包括五组,一组对照组和四组实验组,以研究扫描镜头阻塞、气流存在、液体介质以及新扫描头的使用对扫描过程和准确性的影响。每组进行15次扫描,生成大量数据以进行有力的统计比较。通过评估每组的真实性和精密度,该研究评估了压缩气流系统对从液体干扰表面收集的IOS数据准确性的影响。此外,我们选择了Elite和Primescan扫描仪作为数值准确性值的参考。
在液体干扰表面上的扫描准确性在真实性和精密度方面均显著降低[真实性:18.5(6.5). 38.0(6.7),<0.05;精密度:19.1(8.5). 31.7(15.0),<0.05]。使用由压缩气流系统辅助的新扫描头显著提高了扫描准确性[真实性:22.3(7.6). 38.0(6.7),<0.05;精密度:25.8(9.6). 31.7(15.0),<0.05]。
基于压缩气流系统的扫描头可协助提高IOS从液体干扰表面获取的数据的准确性。