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    Data Sets for the Qualification of Volumetric CT as a Quantitative Imaging Biomarker in Lung Cancer

    MIDAS/ISP: Lung Cancer Imaging/Article #125764

    Title:Data Sets for the Qualification of Volumetric CT as a Quantitative Imaging Biomarker in Lung Cancer
    Authors:Andrew Buckler1, Lawrence Schwartz2, Nicholas Petrick3, Michael Mcnitt-Gray4, Binsheng Zhao2, Charles Fenimore5, Anthony Reeves6, P. D. Mozley7, Ricardo Avila8
    Institutions: 1Buckler Biomedical LLC, 2Columbia University, 3Food and Drug Administration, 4UCLA, 5NIST, 6Cornell University, 7Merck, 8Kitware
    Publisher:Optical Society of America
    Publication date: Received 2010-Mar-22
    PDF Article: 125764.pdf
    Abstract:The drug development industry is faced with increasing costs and decreasing success rates. New ways to understand biology as well as the increasing interest in personalized treatments for smaller patient segments requires new capabilities for the rapid assessment of treatment responses. Deployment of qualified imaging biomarkers lags apparent technology capabilities. The lack of consensus methods and qualification evidence needed for large-scale multi-center trials, as well as the standardization that allows them, are widely acknowledged to be the limiting factors. The current fragmentation in imaging vendor offerings, coupled with the independent activities of individual biopharmaceutical companies and their contract research organizations (CROs), may stand in the way of the greater opportunity were these efforts to be drawn together. A preliminary report of the Quantitative Imaging Biomarkers Alliance (QIBA) activity was presented at a meeting of the Extended PhRMA Imaging Group sponsored by the Drug Information Agency (DIA) in October 2008. The clinical context in Lung Cancer and a methodology for approaching the qualification of volumetric CT as a biomarker has since been reported. , This report reviews the effort to collect and utilize publicly available data sets to provide a transparent environment in which to pursue the qualification activities in such a way as to allow independent peer review and verification of results. This article focuses specifically on our role as stewards of image sets for developing new tools.
    Complete Data Collection & Article:article_904_full.zip (495Mb)
    Compressed Data Collection: article_904_preview.zip (5Mb)
    Data Collection:
    View1Fig. 1Case001Case001
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    OCIS Code: 110.2960 , 100.3008 

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