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

• Authors: Roeland Verhaak, MD Anderson Cancer Center; Gary Whitman, University of Chicago; Rivka Colen, MD Anderson Cancer Center; Ian Foster, University of Chicago; Robert Gatenby, Moffitt Cancer Center; Mary Ellen Giger, University of Chicago; Robert Gillies, Moffitt Cancer Center; David Andrew Gutman, Emory University; Matthew Heller, University of Pittsburgh Medical Center; Rajan Jain, NYU Langone Medical Center; Anant Madabhushi, Case Western Reserve University; Subha Madhavan, Georgetown University Medical Center; Sandy Napel, Stanford University; Arvind Rao, MD Anderson Cancer Center; Joel Saltz, Emory University; James Tatum, VA Medical Center; Roeland Verhaak, MD Anderson Cancer Center; Gary Whitman, MD Anderson Cancer Center
• Journal Title: Translational Oncology
• Volume: Volume 7, Number 5
• Publisher: Elsevier | 2014-10, Pages 556-569
• Type of Work: Article | Final Publisher PDF
• Publisher DOI: http://doi.org/10.1016/j.tranon.2014.07.007
• Subjects: Health Sciences, Oncology; Health Sciences, Radiology

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.