Department of Artificial Intelligence, 16757Universidad Nacional de Educación a Distancia (UNED), Madrid, Spain.
Health Informatics J. 2023 Jan-Mar;29(1):14604582231153779. doi: 10.1177/14604582231153779.
The study and early detection of breast cancer are key for its treatment. We carry out an exhaustive analysis of the most used database for mastology research with infrared images, analyzing the anomalies according to five quality dimensions: completeness, correctness, concordance, plausibility, and currency. We established control queries that looked for these anomalies and that can be used to ensure the quality of the database. Finally, we briefly review the more than 40 papers that use this database and that do not mention any of these anomalies. When analyzing the database, we found 365 anomalies related to personal and clinical data, and thermal images. The errors found in our research may lead to a modification of the results and conclusions made in the articles found in the literature, serve as a basis for improvements in the quality of the database, and help future researchers to work with it.
乳腺癌的研究和早期检测是其治疗的关键。我们对最常用于乳腺研究的红外图像数据库进行了详尽的分析，根据五个质量维度（完整性、正确性、一致性、合理性和时效性）对异常情况进行了分析。我们建立了控制查询，以查找这些异常情况，并可用于确保数据库的质量。最后，我们简要回顾了 40 多篇使用该数据库但未提及任何这些异常情况的论文。在分析数据库时，我们发现了 365 个与个人和临床数据以及热图像相关的异常情况。我们研究中发现的错误可能会导致对文献中发现的文章中的结果和结论进行修改，为数据库质量的改进提供依据，并帮助未来的研究人员使用该数据库。
