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International data-sharing for radiotherapy research: an open-source based infrastructure for multicentric clinical data mining.放射治疗研究的国际数据共享:一种基于开源的多中心临床数据挖掘基础设施。
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2
Data Sharing and Inductive Learning--Toward Healthy Birth, Growth, and Development.数据共享与归纳学习——迈向健康出生、成长与发展
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Characteristics of Radiotherapy Trials Compared With Other Oncological Clinical Trials in the Past 10 Years.过去 10 年放疗试验与其他肿瘤临床试验的特点比较。
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Data Sharing Policy for Clinical Trials.临床试验数据共享政策。
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本文引用的文献

1
'Rapid Learning health care in oncology' - an approach towards decision support systems enabling customised radiotherapy'.“肿瘤学快速学习医疗”——一种支持定制化放疗的决策支持系统方法。
Radiother Oncol. 2013 Oct;109(1):159-64. doi: 10.1016/j.radonc.2013.07.007. Epub 2013 Aug 28.
2
Benefits of a clinical data warehouse with data mining tools to collect data for a radiotherapy trial.临床数据仓库和数据挖掘工具在收集放疗试验数据方面的优势。
Radiother Oncol. 2013 Jul;108(1):174-9. doi: 10.1016/j.radonc.2012.09.019. Epub 2013 Feb 5.
3
Predicting outcomes in radiation oncology--multifactorial decision support systems.预测放射肿瘤学的结果——多因素决策支持系统。
Nat Rev Clin Oncol. 2013 Jan;10(1):27-40. doi: 10.1038/nrclinonc.2012.196. Epub 2012 Nov 20.
4
QA makes a clinical trial stronger: evidence-based medicine in radiation therapy.质量保证使临床试验更强大:放射治疗中的循证医学。
Radiother Oncol. 2012 Oct;105(1):4-8. doi: 10.1016/j.radonc.2012.08.008. Epub 2012 Sep 14.
5
Obstacles to participation in randomised cancer clinical trials: a systematic review of the literature.参与癌症随机临床试验的障碍:文献系统综述
J Med Imaging Radiat Oncol. 2012 Feb;56(1):31-9. doi: 10.1111/j.1754-9485.2011.02337.x.
6
Radiomics: extracting more information from medical images using advanced feature analysis.放射组学:利用高级特征分析从医学图像中提取更多信息。
Eur J Cancer. 2012 Mar;48(4):441-6. doi: 10.1016/j.ejca.2011.11.036. Epub 2012 Jan 16.
7
Is it time for tailored treatment of rectal cancer? From prescribing by consensus to prescribing by numbers.是时候进行直肠癌的个体化治疗了吗?从基于共识开药到基于数据开药。
Radiother Oncol. 2012 Jan;102(1):1-3. doi: 10.1016/j.radonc.2011.12.001. Epub 2011 Dec 16.
8
Development and validation of a nomogram for prediction of survival and local control in laryngeal carcinoma patients treated with radiotherapy alone: a cohort study based on 994 patients.基于 994 例患者的队列研究:建立并验证一个预测单纯放疗的喉癌患者生存和局部控制的列线图模型
Radiother Oncol. 2011 Jul;100(1):108-15. doi: 10.1016/j.radonc.2011.06.023. Epub 2011 Jul 23.
9
Nomograms for predicting local recurrence, distant metastases, and overall survival for patients with locally advanced rectal cancer on the basis of European randomized clinical trials.基于欧洲随机临床试验的局部晚期直肠癌患者局部复发、远处转移和总生存的预测列线图。
J Clin Oncol. 2011 Aug 10;29(23):3163-72. doi: 10.1200/JCO.2010.33.1595. Epub 2011 Jul 11.
10
Quality assurance for prospective EORTC radiation oncology trials: the challenges of advanced technology in a multicenter international setting.前瞻性 EORTC 肿瘤放疗临床试验的质量保证:多中心国际环境下先进技术的挑战。
Radiother Oncol. 2011 Jul;100(1):150-6. doi: 10.1016/j.radonc.2011.05.073. Epub 2011 Jun 29.

放射治疗研究的国际数据共享:一种基于开源的多中心临床数据挖掘基础设施。

International data-sharing for radiotherapy research: an open-source based infrastructure for multicentric clinical data mining.

作者信息

Roelofs Erik, Dekker André, Meldolesi Elisa, van Stiphout Ruud G P M, Valentini Vincenzo, Lambin Philippe

机构信息

Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center (MUMC+), The Netherlands.

Department of Radiation Oncology, Policlinico Universitario Agostino Gemelli, Rome, Italy.

出版信息

Radiother Oncol. 2014 Feb;110(2):370-374. doi: 10.1016/j.radonc.2013.11.001. Epub 2013 Dec 3.

DOI:10.1016/j.radonc.2013.11.001
PMID:24309199
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5228341/
Abstract

Extensive, multifactorial data sharing is a crucial prerequisite for current and future (radiotherapy) research. However, the cost, time and effort to achieve this are often a roadblock. We present an open-source based data-sharing infrastructure between two radiotherapy departments, allowing seamless exchange of de-identified, automatically translated clinical and biomedical treatment data.

摘要

广泛的多因素数据共享是当前及未来(放射治疗)研究的关键前提条件。然而,实现这一点所需的成本、时间和精力往往是一个障碍。我们展示了两个放射治疗科室之间基于开源的数据共享基础设施,允许无缝交换去标识化的、自动翻译的临床和生物医学治疗数据。