TY - JOUR AU - Vila-Blanco, Nicolás AU - Freire, Vicente AU - Balsa-Castro, Carlos AU - Tomás, Inmaculada AU - Carreira, María J PY - 2020 DA - 2020/9/3 TI -牙菌斑细菌菌斑定量的web应用:发展与可用性研究计算机辅助诊断基于计算机的生物医学应用牙科健康牙菌斑量化基于网络的工具医学信息学背景:在牙科领域，牙菌斑的分析是至关重要的，因为它是两种最常见的口腔疾病:龋齿和牙周炎的主要病因。在大多数发表在牙科文献中的论文中，牙菌斑的定量是使用传统的、非自动化的、耗时的指标进行的。因此，开发一种自动斑块定量工具对临床医生和研究人员具有重要价值。目的:本研究旨在开发一个基于网络的工具和各种临床指标，利用图像分析技术来评估牙菌斑水平。方法:将该工具作为基于web的应用程序执行，以方便研究人员使用。专家用户可以自由定义实验，包括单个患者(观察单个斑块生长模式)或几个患者(进行群体表征)在特定时刻或随时间的图像。一种检测可见斑块的新方法以及一个被称为不可见斑块的新概念已经被开发出来。这个新术语意味着根据牙菌斑在不久的将来积聚的风险将剩余的牙齿区域分为3个小区域。还创建了新的指标来描述可见和不可见斑块水平。 Results: The system generates results tables of the quantitative analysis with absolute averages obtained in each image (indices about visible plaque) and relative measurements (indices about visible and nonvisible plaque) relating to the reference moment. The clinical indices that can be calculated are the following: plaque index of an area per intensity (API index, a value between 0 and 100), area growth index (growth rate of plaque per unit of time in hours; percentage area/hour), and area time index (the time in days needed to achieve a plaque area of 100% concerning the initial area at the same moment). Images and graphics can be obtained for a moment from a patient in addition to a full report presenting all the processing data. Dentistry experts evaluated the DenTiUS Plaque software through a usability test, with the best-scoring questions those related to the workflow efficiency, value of the online help, attractiveness of the user interface, and overall satisfaction. Conclusions: The DenTiUS Plaque software allows automatic, reliable, and repeatable quantification of dental plaque levels, providing information about area, intensity, and growth pattern. Dentistry experts recognized that this software is suitable for quantification of dental plaque levels. Consequently, its application in the analysis of plaque evolution patterns associated with different oral conditions, as well as to evaluate the effectiveness of various oral hygiene measures, can represent an improvement in the clinical setting and the methodological quality of research studies. SN - 1438-8871 UR - //www.mybigtv.com/2020/9/e18570 UR - https://doi.org/10.2196/18570 UR - http://www.ncbi.nlm.nih.gov/pubmed/32663148 DO - 10.2196/18570 ID - info:doi/10.2196/18570 ER -