Jamzad M, Ishii K, Toyama H, Senda M
Positron Medical Center, Tokyo Metropolitan Institute of Gerontology, Japan.
Ann Nucl Med. 1996 Feb;10(1):99-104. doi: 10.1007/BF03165061.
We have developed a human friendly reporting and database system for clinical brain PET (Positron Emission Tomography) scans, which enables statistical data analysis on qualitative information obtained from image interpretation. Our system consists of a Brain PET Data (Input) Tool and Report Writing Tool. In the Brain PET Data Tool, findings and interpretations are input by selecting menu icons in a window panel instead of writing a free text. This method of input enables on-line data entry into and update of the database by means of pre-defined consistent words, which facilitates statistical data analysis. The Report Writing Tool generates a one page report of natural English sentences semi-automatically by using the above input information and the patient information obtained from our PET center's main database. It also has a keyword selection function from the report text so that we can save a set of keywords on the database for further analysis. By means of this system, we can store the data related to patient information and visual interpretation of the PET examination while writing clinical reports in daily work. The database files in our system can be accessed by means of commercially available databases. We have used the 4th Dimension database that runs on a Macintosh computer and analyzed 95 cases of 18F-FDG brain PET studies. The results showed high specificity of parietal hypometabolism for Alzheimer's patients.
我们开发了一种便于用户使用的临床脑正电子发射断层扫描(PET)报告和数据库系统,该系统能够对从图像解读中获得的定性信息进行统计数据分析。我们的系统由脑PET数据(输入)工具和报告撰写工具组成。在脑PET数据工具中,通过在窗口面板中选择菜单图标来输入检查结果和解读内容,而不是编写自由文本。这种输入方法能够通过预定义的一致词汇进行在线数据录入和数据库更新,从而便于进行统计数据分析。报告撰写工具利用上述输入信息以及从我们PET中心主数据库中获取的患者信息,半自动生成一页包含自然英语句子的报告。它还具有从报告文本中选择关键词的功能,这样我们就可以在数据库中保存一组关键词以供进一步分析。通过该系统,我们在日常撰写临床报告的同时,可以存储与患者信息以及PET检查的视觉解读相关的数据。我们系统中的数据库文件可以通过商业可用数据库进行访问。我们使用了运行在苹果麦金塔电脑上的第四维度数据库,并分析了95例18F-FDG脑PET研究。结果显示,顶叶代谢减低对阿尔茨海默病患者具有高度特异性。