The Reference Image Database to Evaluate Response to therapy in lung cancer (RIDER) project: A resource for the development of change-analysis software

S. G. Armato, C. R. Meyer, M. F. McNitt-Gray, G. McLennan, A. P. Reeves, B. Y. Croft, L. P. Clarke, Luc Bidaut, Binsheng Zhao, Charles Fenimore, Paul Kinahan, Ed Jackson, Nicholas Petrick, Denise R. Aberle, Ella A. Kazerooni, Heber MacMahon, Edwin J.R. Van Beek, David Yankelevitz, Reginald Munden, Lawrence SchwartzMarios Gavielides, Lisa Kinnard, Carl Jaffe, Ronald Gottlieb, Matthew S. Brown, Richard C. Pais, David P.Y. Qing, Ali Farooqi, Matthew Cham, Daniel Max, Alberto Biancardi, Eric Hoffman, Kim Sprenger, Zaid Towfic, Lisa Hudson, Jered Sieren, Peyton H. Bland, Gary Laderach, Roger Engelmann, Adam Starkey, Daniel Barboriak, Gary Kelloff, Lori Dodd, Dan Sullivan, John Freymann, James Lou, David Kupfersmid, Eliot Siegel, Belinda Seto, Jim Mulshine, Bo Aldge, Gary Becker, John Perry, Kyle Myers, Bob Wagner, Martin Herman, Lisa Karam, Brian Zimmerman, Paul Bergstrom, Charles Clar

Research output: Contribution to journalReview article

58 Scopus citations

Abstract

Critical to the clinical evaluation of effective novel therapies for lung cancer is the early and accurate determination of tumor response, which requires an understanding of the sources of uncertainty in tumor measurement and subsequent attempts to minimize their effects on the assessment of the therapeutic agent. The Reference Image Database to Evaluate Response (RIDER) project seeks to develop a consensus approach to the optimization and benchmarking of software tools for the assessment of tumor response to therapy and to provide a publicly available database of serial images acquired during lung cancer drug and radiation therapy trials. Images of phantoms and patient images acquired under situations in which tumor size or biology is known to be unchanged also will be provided. The RIDER project will create standardized methods for benchmarking software tools to reduce sources of uncertainty in vital clinical assessments such as whether a specific tumor is responding to therapy.

Original languageEnglish (US)
Pages (from-to)448-456
Number of pages9
JournalClinical Pharmacology and Therapeutics
Volume84
Issue number4
DOIs
StatePublished - Oct 2008

ASJC Scopus subject areas

  • Pharmacology
  • Pharmacology (medical)

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