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首页> 外文期刊>Frontiers in Oncology >Editorial: Data Based Radiation Oncology—Design of Clinical Trials
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Editorial: Data Based Radiation Oncology—Design of Clinical Trials

机译：社论：基于数据的放射肿瘤学—临床试验设计

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Editorial on the Research Topic Data Based Radiation Oncology—Design of Clinical Trials In radiation oncology as in many other specialties, clinical trials are essential to investigate new therapeutic approaches. Usually, preparation for a prospective clinical trial is time-consuming until ethics approval is obtained. To test a new treatment many years pass before it can be implemented in the routine care. During that time, already new interventions emerge, new drugs appear on the market, technical and physical innovations are being implemented, novel biology-driven concepts are translated into clinical approaches while we are still investigating the ones from years ago. Another problem is associated with molecular diagnostics and the growing amount of tumor-specific biomarkers which allow for better stratification of patient subgroups. On the other side, this may result in a much longer time for patient recruiting and consequently in larger multicenter trials. Moreover, all of the relevant data must be readily available for treatment decision making, treatment as well as follow-up, and ultimately for trial evaluation. This challenges even more for agreed standards in data acquisition, quality, and management. How could we change the way currently clinical trials are performed in a way they are safe and ethically justifiable and speed up the initiation process so that we can provide new and better treatments faster for our patients? Furthermore, while we rely on various quantitative information handling distributed, large heterogeneous amounts of data efficiently is very important. Thus, data management becomes a strong focus. A good infrastructure helps to plan, tailor and conduct clinical trials in a way they are easy and quickly analyzable. In this research topic, we want to discuss new ideas for intelligent trial designs and concepts for data management. Author Contributions All authors wrote and revised the editorial. Conflict of Interest Statement The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
机译：基于研究主题的数据基于放射肿瘤学的社论-临床试验的设计与许多其他专业一样，放射肿瘤学中，临床试验对于研究新的治疗方法至关重要。通常，在获得伦理学批准之前，准备前瞻性临床试验非常耗时。要测试一种新疗法，要经过多年才能在常规护理中实施。在那段时间里，已经出现了新的干预措施，市场上出现了新药，正在实施技术和物理创新，将新颖的生物学驱动概念转化为临床方法，而我们仍在研究几年前的方法。另一个问题与分子诊断和肿瘤特异性生物标志物数量的增加有关，这使得患者亚组更好地分层。另一方面，这可能会导致更长的患者招募时间，从而导致更大的多中心试验。此外，所有相关数据必须易于获得，用于治疗决策，治疗以及随访，并最终用于试验评估。对于数据采集，质量和管理方面的公认标准，这甚至带来了更多挑战。我们如何才能改变当前临床试验的执行方式，使其既安全又符合道德，并能加快启动过程，从而为患者更快地提供新的更好的治疗方法？此外，尽管我们依靠分散的各种定量信息处理，但是有效地处理大量异构数据非常重要。因此，数据管理成为重点。良好的基础架构可帮助您轻松，快速地分析，规划和制定临床试验。在本研究主题中，我们想讨论智能试验设计的新思路和数据管理的概念。作者贡献所有作者都撰写并修改了社论。利益冲突声明作者宣称，这项研究是在没有任何可能被解释为潜在利益冲突的商业或金融关系的情况下进行的。

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