Hong Yue, Pan Tianya, Zhu Shenji, Hu Miaoxin, Zhou Zhiguang, Xu Ting
Department of Stomatology, First Affiliated Hospital, Zhejiang University, Hangzhou, China.
School of Medicine, Zhejiang University, Hangzhou, China.
Sci Rep. 2025 May 25;15(1):18222. doi: 10.1038/s41598-025-01733-5.
Panoramic radiography is an essential auxiliary diagnostic tool for oral diseases. It is a difficult and time-consuming task to conduct extensive panoramic radiography interpretation. These challenges are exacerbated by the creation of electronic medical records and the investigation of oral diseases using collective data. So, we develop a visualization system based on panoramic radiographs. Its function focuses on the intelligent diagnosis and statistical analysis of oral diseases. Firstly, we provide a human-machine collaborative tool for the diagnosis and data extraction of oral diseases in panoramic radiographs. After that, the system generates electronic medical records, including visual charts of oral health status and radiology reports. We further develop statistical correlation analysis to visually evaluate and interactively explore the statistical data from oral health surveys. We conduct intelligent diagnosis, obtain the electronic medical records and do collective analysis based on 521 panoramic radiographs. The available analyses cover disease-prone teeth, disease distribution per tooth position and association of age, sex with oral diseases. The results are reported from a comprehensive case study showing that our system can improve the efficiency in disease detection and data mining. It can also fuel research studies in the field of public oral health and provide robust support for oral healthcare strategies.
全景放射摄影是口腔疾病必不可少的辅助诊断工具。进行广泛的全景放射摄影解读是一项艰巨且耗时的任务。电子病历的创建以及利用汇总数据对口腔疾病进行调查，使这些挑战更加严峻。因此，我们开发了一种基于全景放射照片的可视化系统。其功能侧重于口腔疾病的智能诊断和统计分析。首先，我们为全景放射照片中口腔疾病的诊断和数据提取提供一种人机协作工具。之后，该系统生成电子病历，包括口腔健康状况的可视化图表和放射学报告。我们进一步开展统计相关性分析，以直观地评估并交互式地探索来自口腔健康调查的统计数据。我们基于521张全景放射照片进行智能诊断、获取电子病历并进行汇总分析。可用的分析涵盖易患疾病的牙齿、每个牙齿位置的疾病分布以及年龄、性别与口腔疾病的关联。综合案例研究报告的结果表明，我们的系统可以提高疾病检测和数据挖掘的效率。它还可以推动公共口腔健康领域的研究，并为口腔保健策略提供有力支持。
