Literature DB >> 19969254

Volumetric CT in lung cancer: an example for the qualification of imaging as a biomarker.

Andrew J Buckler1, P David Mozley, Lawrence Schwartz, Nicholas Petrick, Michael McNitt-Gray, Charles Fenimore, Kevin O'Donnell, Wendy Hayes, Hyun J Kim, Laurence Clarke, Daniel Sullivan.   

Abstract

RATIONALE AND
OBJECTIVES: New ways to understand biology as well as increasing interest in personalized treatments requires new capabilities for the assessment of therapy response. The lack of consensus methods and qualification evidence needed for large-scale multicenter trials, and in turn the standardization that allows them, are widely acknowledged to be the limiting factor in the deployment of qualified imaging biomarkers.
MATERIALS AND METHODS: The Quantitative Imaging Biomarker Alliance is organized to establish a methodology whereby multiple stakeholders collaborate. It has charged the Volumetric Computed Tomography (CT) Technical Subcommittee with investigating the technical feasibility and clinical value of quantifying changes over time in either volume or other parameters as biomarkers. The group selected solid tumors of the chest in subjects with lung cancer as its first case in point. Success is defined as sufficiently rigorous improvements in CT-based outcome measures to allow individual patients in clinical settings to switch treatments sooner if they are no longer responding to their current regimens, and reduce the costs of evaluating investigational new drugs to treat lung cancer.
RESULTS: The team has completed a systems engineering analysis, has begun a roadmap of experimental groundwork, documented profile claims and protocols, and documented a process for imaging biomarker qualification as a general paradigm for qualifying other imaging biomarkers as well.
CONCLUSION: This report addresses a procedural template for the qualification of quantitative imaging biomarkers. This mechanism is cost-effective for stakeholders while simultaneously advancing the public health by promoting the use of measures that prove effective.

Entities:  

Mesh:

Year:  2010        PMID: 19969254     DOI: 10.1016/j.acra.2009.06.019

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  19 in total

Review 1.  The use of tumour volumetrics to assess response to therapy in anticancer clinical trials.

Authors:  Gregory V Goldmacher; James Conklin
Journal:  Br J Clin Pharmacol       Date:  2012-06       Impact factor: 4.335

2.  Quantitative imaging for evaluation of response to cancer therapy.

Authors:  Laurence P Clarke; Barbara S Croft; Robert Nordstrom; Huiming Zhang; Gary Kelloff; J Tatum
Journal:  Transl Oncol       Date:  2009-12       Impact factor: 4.243

3.  Quantitative imaging test approval and biomarker qualification: interrelated but distinct activities.

Authors:  Andrew J Buckler; Linda Bresolin; N Reed Dunnick; Daniel C Sullivan; Hugo J W L Aerts; Bernard Bendriem; Claus Bendtsen; Ronald Boellaard; John M Boone; Patricia E Cole; James J Conklin; Gary S Dorfman; Pamela S Douglas; Willy Eidsaunet; Cathy Elsinger; Richard A Frank; Constantine Gatsonis; Maryellen L Giger; Sandeep N Gupta; David Gustafson; Otto S Hoekstra; Edward F Jackson; Lisa Karam; Gary J Kelloff; Paul E Kinahan; Geoffrey McLennan; Colin G Miller; P David Mozley; Keith E Muller; Rick Patt; David Raunig; Mark Rosen; Haren Rupani; Lawrence H Schwartz; Barry A Siegel; A Gregory Sorensen; Richard L Wahl; John C Waterton; Walter Wolf; Gudrun Zahlmann; Brian Zimmerman
Journal:  Radiology       Date:  2011-02-15       Impact factor: 11.105

Review 4.  A novel knowledge representation framework for the statistical validation of quantitative imaging biomarkers.

Authors:  Andrew J Buckler; David Paik; Matt Ouellette; Jovanna Danagoulian; Gary Wernsing; Baris E Suzek
Journal:  J Digit Imaging       Date:  2013-08       Impact factor: 4.056

5.  Scatter correction associated with dedicated dual-source CT hardware improves accuracy of lung air measures.

Authors:  Sean D Mobberley; Matthew K Fuld; Jered P Sieren; Andrew N Primak; Eric A Hoffman
Journal:  Acad Radiol       Date:  2013-11       Impact factor: 3.173

6.  Technical Note: FreeCT_wFBP: A robust, efficient, open-source implementation of weighted filtered backprojection for helical, fan-beam CT.

Authors:  John Hoffman; Stefano Young; Frédéric Noo; Michael McNitt-Gray
Journal:  Med Phys       Date:  2016-03       Impact factor: 4.071

7.  Measurement of tumor volumes improves RECIST-based response assessments in advanced lung cancer.

Authors:  P David Mozley; Claus Bendtsen; Binsheng Zhao; Lawrence H Schwartz; Matthias Thorn; Yuanxin Rong; Luduan Zhang; Andrea Perrone; René Korn; Andrew J Buckler
Journal:  Transl Oncol       Date:  2012-02-01       Impact factor: 4.243

8.  Systems for lung volume standardization during static and dynamic MDCT-based quantitative assessment of pulmonary structure and function.

Authors:  Matthew K Fuld; Randall W Grout; Junfeng Guo; John H Morgan; Eric A Hoffman
Journal:  Acad Radiol       Date:  2012-05-01       Impact factor: 3.173

Review 9.  Clinical utility of quantitative imaging.

Authors:  Andrew B Rosenkrantz; Mishal Mendiratta-Lala; Brian J Bartholmai; Dhakshinamoorthy Ganeshan; Richard G Abramson; Kirsteen R Burton; John-Paul J Yu; Ernest M Scalzetti; Thomas E Yankeelov; Rathan M Subramaniam; Leon Lenchik
Journal:  Acad Radiol       Date:  2014-10-22       Impact factor: 3.173

10.  Test-retest reproducibility analysis of lung CT image features.

Authors:  Yoganand Balagurunathan; Virendra Kumar; Yuhua Gu; Jongphil Kim; Hua Wang; Ying Liu; Dmitry B Goldgof; Lawrence O Hall; Rene Korn; Binsheng Zhao; Lawrence H Schwartz; Satrajit Basu; Steven Eschrich; Robert A Gatenby; Robert J Gillies
Journal:  J Digit Imaging       Date:  2014-12       Impact factor: 4.056

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