NCI Workshop Report: Clinical and Computational Requirements for Correlating Imaging Phenotypes with Genomics Signatures.

NCI Workshop Report: Clinical and Computational Requirements for Correlating Imaging Phenotypes with Genomics Signatures.
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NCI研讨会报告:将成像表型与基因组学特征相关联的临床和计算要求。

DOI:
10.1016/j.tranon.2014.07.007
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发表时间:
2014-10
影响因子:
5
通讯作者:
Whitman, Gary
Whitman, Gary
中科院分区:
医学3区
文献类型:
--
作者:
Colen, Rivka;Foster, Ian;Gatenby, Robert;Giger, Mary Ellen;Gillies, Robert;Gutman, David;Heller, Matthew;Jain, Rajan;Madabhushi, Anant;Madhavan, Subha;Napel, Sandy;Rao, Arvind;Saltz, Joel;Tatum, James;Verhaak, Roeland;Whitman, Gary

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美国国家癌症研究所(NCI)癌症成像计划于2013年6月26日至27日组织了两个相关的研讨会,题为“将成像表型与基因组学特征研究相关联”和“成像基因组学决策支持系统所需的可扩展计算资源”。第一次研讨会侧重于临床和科学要求,探索我们对癌症生物学特性的表型特征的了解,以确定该领域是否足够先进,以与支持基因组学和临床结果的成像表型相关,并探索新的科学方法,从医学图像中提取表型特征,并将其与基因组学分析相关联。第二次研讨会侧重于探讨信息学和计算要求的计算方法,以从医学图像中提取表型特征,并将其与基因组学分析相关联,并提高现有NIH资源的可访问性和传播速度。这些研讨会将目前已知的表型和基因型癌症生物学特征的临床和科学要求与支持基因组学和临床结果的成像表型联系起来。该小组向NCI领导层和研究界提出了一系列建议,鼓励和支持新兴放射基因组学研究领域的发展,以解决癌症研究的短期和长期目标。
The National Cancer Institute (NCI) Cancer Imaging Program organized two related workshops on June 26–27, 2013, entitled “Correlating Imaging Phenotypes with Genomics Signatures Research” and “Scalable Computational Resources as Required for Imaging-Genomics Decision Support Systems.” The first workshop focused on clinical and scientific requirements, exploring our knowledge of phenotypic characteristics of cancer biological properties to determine whether the field is sufficiently advanced to correlate with imaging phenotypes that underpin genomics and clinical outcomes, and exploring new scientific methods to extract phenotypic features from medical images and relate them to genomics analyses. The second workshop focused on computational methods that explore informatics and computational requirements to extract phenotypic features from medical images and relate them to genomics analyses and improve the accessibility and speed of dissemination of existing NIH resources. These workshops linked clinical and scientific requirements of currently known phenotypic and genotypic cancer biology characteristics with imaging phenotypes that underpin genomics and clinical outcomes. The group generated a set of recommendations to NCI leadership and the research community that encourage and support development of the emerging radiogenomics research field to address short-and longer-term goals in cancer research.
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