THE DEVELOPMENT OF IMAGE DIAGNOSTIC DATABSE OF ORAL & MAXILLOFACIAL DISEASE AND INTEGRATION OF VALUE-AIDED EDUCATIONAL RESEARCH SUPPORTING FUNCTIONS

1)根据口腔病变图像诊断的难易程度，选择适合于图像诊断数据库的患者图像，得到六种图像诊断水平分布模式。计算各疾病组的系数，影像诊断难度由大到小依次为肿瘤、炎症、囊肿、畸形、创伤、其他疾病。通过检查图像诊断水平与患者图像特征发现之间的关系，获得了以下结果：在研究生牙医的水平上，特征性的发现是（1）由于病变的尺寸很小而没有特征，（2）与其他疾病非常相似的发现，（3）非常罕见的发现，（4）难以估计疾病的原因，（5）复发情况。在牙科学生的水平上，特征性发现是（1）每种疾病的主要特征性发现，（2）扩展后的额外发现， 关于我们 疾病数，（3）感染改变的结果。作为来自患者的适合于图像诊断数据库的图像的结果，应当尽可能地从显示上述特征的患者中选择，包括类似于某些种类的疾病的正常解剖变异。2）影像诊断数据库的技术方面，以电子方式积累数字影像（1）1024*1024像素的影像可以通过FTP在9.9秒内通过大学的LAN系统从我们已经拥有的影像数据库传输到新的影像诊断工作站。(2)全景图像（940*1160像素）可以在一秒钟内从Macintosh PC以DICOM 3类型的图像格式传输。(3)从图像诊断数据库中检索出患者的多个字母数字信息中的合适项目，然后在图像诊断工作站上显示我们所需要的口腔病变图像。少

1) Selection of images from patients suitable for an image diagnostic databaseSix patterns of level distribution for image diagnosis were obtained, according to the difficulty to diagnose the images of oral lesions. Calculating coefficients of each disease group, and the difficulty of image diagnosis was arranged in the decreasing order of Tumor, Inflammation, Cyst, Anomaly, Trauma and other diseases. From examining the relationships between the image diagnostic levels and characteristic findings of images from patients the following results were obtained : At the level of a postgraduate dentist characteristic findings were (1) no characteristics because of the small size of the lesion, (2) very similar findings to other diseases, (3) very rare findings, (4) difficulty to estimate the cause of disease, and (5) findings of recurrence. At the level of a dental student characteristic findings were (1) main characteristic findings of each disease, (2) additional findings following expansio … More n of disease, (3) findings modified by infection. As the results of images from patients suitable for image diagnostic database should be selected from patients which show the above mentioned characteristics, as far as possible, including normal anatomical variations which resemble some kinds of diseases. Finally images suitable for diagnostic databases and characteristic findings of each disease were selected.2) Technical sides of the image diagnostic database to accumulate digital images electronically(1) Images of 1024*1024 pixels could be transferred by FTP in 9.9 seconds through the university's LAN system from the image database, which already we had, to the new image diagnostic workstation. (2) Panoramic image (940*1160 pixels) could be transferred within one second from a Macintosh PC in DICOM3 type image format. (3) Suitable items from multiple alpha-numeric information concerning patients from the image diagnostic database were referred from the Macintosh PC.Then images of oral lesions, which we needed, could be displayd on the image diagnostic workstation. Less