Polo Scienze Oncologiche ed Ematologiche, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli, Rome, Italy.
RT Department, Aviano Cancer Center, Italy.
Eur J Intern Med. 2018 Jul;53:73-78. doi: 10.1016/j.ejim.2018.02.012. Epub 2018 Feb 21.
The big data approach offers a powerful alternative to Evidence-based medicine. This approach could guide cancer management thanks to machine learning application to large-scale data. Aim of the Thyroid CoBRA (Consortium for Brachytherapy Data Analysis) project is to develop a standardized web data collection system, focused on thyroid cancer. The Metabolic Radiotherapy Working Group of Italian Association of Radiation Oncology (AIRO) endorsed the implementation of a consortium directed to thyroid cancer management and data collection. The agreement conditions, the ontology of the collected data and the related software services were defined by a multicentre ad hoc working-group (WG). Six Italian cancer centres were firstly started the project, defined and signed the Thyroid COBRA consortium agreement. Three data set tiers were identified: Registry, Procedures and Research. The COBRA-Storage System (C-SS) appeared to be not time-consuming and to be privacy respecting, as data can be extracted directly from the single centre's storage platforms through a secured connection that ensures reliable encryption of sensible data. Automatic data archiving could be directly performed from Image Hospital Storage System or the Radiotherapy Treatment Planning Systems. The C-SS architecture will allow "Cloud storage way" or "distributed learning" approaches for predictive model definition and further clinical decision support tools development. The development of the Thyroid COBRA data Storage System C-SS through a multicentre consortium approach appeared to be a feasible tool in the setup of complex and privacy saving data sharing system oriented to the management of thyroid cancer and in the near future every cancer type.
大数据方法为循证医学提供了一种强大的替代方法。通过将机器学习应用于大规模数据，这种方法可以指导癌症管理。甲状腺 CoBRA（合作分析 brachytherapy 数据）项目的目的是开发一个标准化的网络数据收集系统，专注于甲状腺癌。意大利放射肿瘤学协会（AIRO）的代谢放射治疗工作组支持建立一个针对甲状腺癌管理和数据收集的联盟。协议条件、所收集数据的本体论和相关软件服务由一个多中心专门工作组（WG）定义。六个意大利癌症中心首先启动了该项目，定义并签署了甲状腺 COBRA 联盟协议。确定了三个数据集层：注册、程序和研究。COBRA-Storage 系统（C-SS）似乎不会耗费时间，并且尊重隐私，因为可以通过安全连接直接从单个中心的存储平台提取数据，该连接确保了敏感数据的可靠加密。自动数据归档可以直接从图像医院存储系统或放射治疗计划系统执行。C-SS 架构将允许“云存储方式”或“分布式学习”方法来定义预测模型，并进一步开发临床决策支持工具。通过多中心联盟方法开发甲状腺 CoBRA 数据存储系统 C-SS，似乎是一种可行的工具，可以建立复杂且注重隐私的数据共享系统，以管理甲状腺癌，并在不久的将来用于管理每种癌症类型。
