Skip to main navigation Skip to search Skip to main content

NCI workshop report: Clinical and computational requirements for correlating imaging phenotypes with genomics signatures

  • Rivka Colen
  • , Ian Foster
  • , Robert Gatenby
  • , Mary Ellen Giger
  • , Robert Gillies
  • , David Gutman
  • , Matthew Heller
  • , Rajan Jain
  • , Anant Madabhushi
  • , Subha Madhavan
  • , Sandy Napel
  • , Arvind Rao
  • , Joel Saltz
  • , James Tatum
  • , Roeland Verhaak
  • , Gary Whitman
  • , Yantian Zhang
  • University of Texas MD Anderson Cancer Center
  • The University of Chicago
  • Moffitt Cancer Center
  • Emory University
  • University of Pittsburgh
  • New York University
  • Case Western Reserve University
  • Georgetown University
  • Stanford University
  • Department of Veterans Affairs
  • National Institutes of Health

Research output: Contribution to journalArticlepeer-review

64 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)556-569
Number of pages14
JournalTranslational Oncology
Volume7
Issue number5
DOIs
StatePublished - 2014

Fingerprint

Dive into the research topics of 'NCI workshop report: Clinical and computational requirements for correlating imaging phenotypes with genomics signatures'. Together they form a unique fingerprint.

Cite this