Riss P, Radivojevic K
2. Universitäts-Frauenklinik Wien.
Geburtshilfe Frauenheilkd. 1989 Aug;49(8):728-32. doi: 10.1055/s-2008-1036074.
We developed a simple menu driven database on a personal computer for classification and documentation of vulvar lesions (IBM-PC, dBaseII). Vulvar lesions were classified according to morphological appearance: red, white, dark, ulcer, small tumor (less than 1 cm), large tumor. The data for each category were entered in multiple choice form or as free text and stored in a separate database file. Overlap between categories was observed in vulvar intraepithelial neoplasia, invasive carcinoma and between large and small tumors. For each category an automated table of the frequencies of the different diagnoses is provided, individual patients and variables can easily be accessed through the database query language. We used the database system in the gynecological outpatient clinic of our department during 6 months and were able to document 117 patients with vulvar lesions. In our experience, the database system permits complete documentation according to clinical criteria of all vulvar lesions seen in gynecological practice.
我们在个人计算机（IBM-PC，dBaseII）上开发了一个简单的菜单驱动数据库，用于对外阴病变进行分类和记录。外阴病变根据形态外观进行分类：红色、白色、深色、溃疡、小肿瘤（小于1厘米）、大肿瘤。每个类别的数据以多项选择形式或自由文本输入，并存储在单独的数据库文件中。在外阴上皮内瘤变、浸润性癌以及大肿瘤和小肿瘤之间观察到类别重叠。对于每个类别，提供了不同诊断频率的自动表格，通过数据库查询语言可以轻松访问个体患者和变量。我们在本部门的妇科门诊使用该数据库系统6个月，记录了117例外阴病变患者。根据我们的经验，该数据库系统允许根据妇科实践中所见的所有外阴病变的临床标准进行完整记录。
