Centro Singular de Investigación en Tecnoloxías Intelixentes, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.
Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain.
J Med Internet Res. 2020 Sep 3;22(9):e18570. doi: 10.2196/18570.
In the dentistry field, the analysis of dental plaque is vital because it is the main etiological factor in the 2 most prevalent oral diseases: caries and periodontitis. In most of the papers published in the dental literature, the quantification of dental plaque is carried out using traditional, non-automated, and time-consuming indices. Therefore, the development of an automated plaque quantification tool would be of great value to clinicians and researchers.
This study aimed to develop a web-based tool called DenTiUS and various clinical indices to evaluate dental plaque levels using image analysis techniques.
The tool was executed as a web-based application to facilitate its use by researchers. Expert users are free to define experiments, including images from either a single patient (to observe an individual plaque growth pattern) or several patients (to perform a group characterization) at a particular moment or over time. A novel approach for detecting visible plaque has been developed as well as a new concept known as nonvisible plaque. This new term implies the classification of the remaining dental area into 3 subregions according to the risk of accumulating plaque in the near future. New metrics have also been created to describe visible and nonvisible plaque levels.
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.
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.
在牙科领域,分析牙菌斑至关重要,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。在牙科文献中发表的大多数论文中,牙菌斑的量化都是使用传统的、非自动化的、耗时的指标进行的。因此,开发一种自动化的菌斑定量工具对临床医生和研究人员将具有重要价值。
本研究旨在开发一种名为 DenTiUS 的基于网络的工具和各种临床指标,以利用图像分析技术评估牙菌斑水平。
该工具作为一个基于网络的应用程序执行,以方便研究人员使用。专家用户可以自由定义实验,包括来自单个患者的图像(观察个体菌斑的生长模式)或来自多个患者的图像(对患者群体进行特征描述),这些图像可以是特定时刻的,也可以是随时间的推移的。还开发了一种用于检测可见菌斑的新方法以及一个新的概念,即非可见菌斑。这个新术语意味着根据未来不久内菌斑堆积的风险,将剩余的牙齿区域分为 3 个亚区。还创建了新的指标来描述可见和不可见菌斑的水平。
系统生成的定量分析结果表包括每个图像的绝对平均值(关于可见菌斑的指标)和与参考时刻相关的相对测量值(关于可见和不可见菌斑的指标)。可计算的临床指标包括:按强度划分的区域菌斑指数(API 指数,范围为 0 到 100)、面积增长率(以小时为单位的菌斑单位时间增长率;%/小时)和面积时间指数(与同一时刻的初始面积相比,达到 100%菌斑面积所需的天数)。除了呈现所有处理数据的完整报告外,还可以获得患者某一时刻的图像和图形。通过使用可用性测试,牙科学专家对 DenTiUS 菌斑软件进行了评估,得分最高的问题是与工作流程效率、在线帮助的价值、用户界面的吸引力和总体满意度相关的问题。
DenTiUS 菌斑软件可实现牙菌斑水平的自动、可靠和可重复的定量分析,提供有关面积、强度和生长模式的信息。牙科学专家认为,该软件适用于牙菌斑水平的量化。因此,它在分析与不同口腔状况相关的菌斑演变模式以及评估各种口腔卫生措施的效果方面的应用,可以提高临床环境和研究方法的质量。