[Big data and their perspectives in radiation therapy].
Fiche publication
Date publication
février 2017
Journal
Bulletin du cancer
Auteurs
Membres identifiés du Cancéropôle Est :
Dr CLAVIER Jean-Baptiste, Dr GUIHARD Sébastien
Tous les auteurs :
Guihard S, Thariat J, Clavier JB
Lien Pubmed
Résumé
The concept of big data indicates a change of scale in the use of data and data aggregation into large databases through improved computer technology. One of the current challenges in the creation of big data in the context of radiation therapy is the transformation of routine care items into dark data, i.e. data not yet collected, and the fusion of databases collecting different types of information (dose-volume histograms and toxicity data for example). Processes and infrastructures devoted to big data collection should not impact negatively on the doctor-patient relationship, the general process of care or the quality of the data collected. The use of big data requires a collective effort of physicians, physicists, software manufacturers and health authorities to create, organize and exploit big data in radiotherapy and, beyond, oncology. Big data involve a new culture to build an appropriate infrastructure legally and ethically. Processes and issues are discussed in this article.
Mots clés
Data Collection, ethics, Data Mining, methods, Databases, Factual, ethics, Diagnostic Imaging, statistics & numerical data, Genomics, Humans, Neoplasms, genetics, Organs at Risk, radiation effects, Physician-Patient Relations, Radiation Oncology, statistics & numerical data, Radiotherapy, adverse effects
Référence
Bull Cancer. 2017 Feb;104(2):147-156