Pérez Martín, Jorge::virtual::28::600Sánchez Cauce, RaquelPérez Martín, JorgePérez Martín, JorgePérez Martín, Jorge2024-05-282024-05-282023-02-02Pérez-Martín J, Sánchez-Cauce R. Quality analysis of a breast thermal images database. Health Informatics Journal. 2023;29(1). doi:10.1177/146045822311537791460-4582 - eISSN 1741-2811https://doi.org/10.1177/14604582231153779https://hdl.handle.net/20.500.14468/22200The registered version of this article, first published in REVISTA, is available online at the publisher's website: EDITOR, https://doi.org/10.1177/14604582231153779La versión registrada de este artículo, publicado por primera vez en REVISTA, está disponible en línea en el sitio web del editor: EDITOR, https://doi.org/10.1177/14604582231153779The 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.en32 Ciencias Médicas ::3212 Salud pública33 Ciencias Tecnológicasjournal articlebreast cancerthermal imagesquality of datathermographythermogram