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基于人群的影像生物样本库作为大数据来源

Population-based imaging biobanks as source of big data.

作者信息

Gatidis Sergios, Heber Sophia D, Storz Corinna, Bamberg Fabian

机构信息

Department of Radiology, University of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany.

出版信息

Radiol Med. 2017 Jun;122(6):430-436. doi: 10.1007/s11547-016-0684-8. Epub 2016 Sep 9.

Abstract

Advances of computational sciences over the last decades have enabled the introduction of novel methodological approaches in biomedical research. Acquiring extensive and comprehensive data about a research subject and subsequently extracting significant information has opened new possibilities in gaining insight into biological and medical processes. This so-called big data approach has recently found entrance into medical imaging and numerous epidemiological studies have been implementing advanced imaging to identify imaging biomarkers that provide information about physiological processes, including normal development and aging but also on the development of pathological disease states. The purpose of this article is to present existing epidemiological imaging studies and to discuss opportunities, methodological and organizational aspects, and challenges that population imaging poses to the field of big data research.

摘要

过去几十年间,计算科学的进步使得生物医学研究能够引入新的方法学途径。获取关于研究对象的广泛而全面的数据,并随后提取重要信息,为深入了解生物和医学过程开辟了新的可能性。这种所谓的大数据方法最近已进入医学成像领域,并且众多流行病学研究一直在采用先进成像技术来识别成像生物标志物,这些标志物可提供有关生理过程的信息,包括正常发育和衰老,以及病理疾病状态的发展情况。本文旨在介绍现有的流行病学成像研究,并讨论群体成像在大数据研究领域所带来的机遇、方法学和组织方面的问题以及挑战。

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